python基础系列教程——python所有包库的下载
- Index by date:
- multidict
- pymatgen
- moderngl
- jupyter
- bokeh
- scikit-umfpack
- matplotlib
- scikit-image
- lxml
- pandas
- pyrsistent
- rasterio
- psutil
- gensim
- pillow
- peewee
- cffi
- pillow-simd
- cobra
- gpy
- openpiv
- chaco
- enable
- indexed_gzip
- spglib
- yarl
- mod_wsgi
- dulwich
- mercurial
- cython
- tifffile
- numpy
- orange
- scandir
- ode
- openexr
- discretize
- scipy
- pypmc
- chainer
- netcdf4
- regex
- twisted
- zodbpickle
- zope.interface
- fiona
- gdal
- brotli
- psycopg
- javabridge
- sfepy
- pyopengl
- fastcache
- bsddb3
- ruamel.yaml
- python-ldap
- faulthandler
- debug-information-files
- pymol
- babel
- czifile
- numexpr
- mkl-service
- spyder
- astropy
- kiwisolver
- numba
- llvmlite
- sqlalchemy
- scs
- veusz
- scikit-learn
- mysqlclient
- shapely
- vtk
- h5py
- cx_oracle
- fabio
- fastparquet
- spectrum
- tornado
- chompack
- mpi4py
- pycairo
- pymongo
- minepy
- cvxpy
- fastcluster
- pywin32
- tensorflow
- quantlib
- wrapt
- yt
- pycuda
- wordcloud
- gr
- opencv
- fisx
- gvar
- ad3
- aiohttp
- pulp
- entropy
- qutip
- sympy
- pygresql
- pylzma
- spacy
- pycares
- pyemd
- py-lmdb
- logbook
- mayavi
- sounddevice
- pyamg
- tatsu
- biopython
- pygit2
- zipline
- pyopencl
- cchardet
- python-lz4
- pyldap
- pyodbc
- simplejson
- pyarrow
- pyflux
- pycurl
- scikit-misc
- enaml
- atom
- gevent
- pycorrfit
- pyside
- netifaces
- vitables
- fdint
- rpy2
- hyperspy
- udunits
- iris
- kwant
- cx_freeze
- simpleitk
- vigra
- recordclass
- bottleneck
- libsvm
- liblinear
- coverage
- tinyarray
- pytables
- grako
- kivy
- menpo
- lazy_object_proxy
- pyfmi
- basemap
- python-snappy
- pyicu
- pyjnius
- imaged11
- python-cjson
- triangle
- param
- meshpy
- pymvpa
- persistent
- thriftpy
- jcc
- lsqfit
- marisa-trie
- pyaudio
- trollius
- lru_dict
- zs
- pyfits
- py_gd
- mistune
- pgmagick
- liblas
- cartopy
- pythonnet
- blosc
- pywavelets
- cantera
- cairocffi
- boost.python
- scikit-fmm
- pymcubes
- salientdetect
- reportlab
- markupsafe
- openbabel
- imread
- pygame
- xxhash
- pyqpbo
- pystruct
- pycld2
- pycifrw
- obspy
- holopy
- freeimagedll
- x86cpu
- fasttext
- scikits.odes
- transformations
- hddm
- nipy
- backports.lzma
- statsmodels
- qimage2ndarray
- guiqwt
- qt_graph_helpers
- pyqwt
- pyqt4
- bcolz
- pyproj
- multiprocess
- greenlet
- openimageio
- ets
- zarr
- btrees
- iminuit
- apsw
- thrift
- mahotas
- jpype
- lp_solve
- libtfr
- pyswisseph
- rtree
- nitime
- cytoolz
- pybox2d
- lfdfiles
- mathutils
- pyeda
- cvxopt
- pocketsphinx
- simpleaudio
- libsbml
- cvxcanon
- pyvrml97
- ta-lib
- pythonmagick
- pyzmq
- ujson
- yappi
- pyfltk
- pyfftw
- pyviennacl
- pyx
- pyephem
- planar
- akima
- vidsrc
- chebyfit
- psf
- fann2
- fisher
- ffnet
- autopy
- slycot
- sparsesvd
- ecos
- sasl
- twainmodule
- datrie
- cyordereddict
- cdecimal
- blz
- bigfloat
- aspell-python
- simpleparse
- milk
- llist
- setproctitle
- hmmlearn
- seqlearn
- jsonlib
- rtmidi-python
- heatmap
- scikits.vectorplot
- multineat
- py-earth
- mlpy
- pyminuit
- pymetis
- python-lzo
- python-levenshtein
- pystemmer
- ceodbc
- pymc
- pyhdf
- pydde
- pycluster
- polygon
- cyassimp
- cyrasterize
- crc16
- crcmod
- bsdiff4
- blist
- bitarray
- assimulo
- xgboost
- flann
- winrandom
- pyhook
- pyspharm
- pyrxp
- natgrid
- noise
- nlopt
- pip
- sima
- pymca
- friture
- pycogent
- lightning
- traits
- line_profiler
- videocapture
- curses
- intbitset
- pycosat
- gmpy
- pymssql
- pyyaml
- msgpack
- pysqlite
- blaze
- cellprofiler
- scikits.audiolab
- la
- vlfd
- dipy
- bazaar
- dynd
- genshi
- python-sundials
- glumpy
- pyamf
- libxml-python
- cellcognition
- pymcmc
- pyksvd
- python-igraph
- pyglet
- pybluez
- pygraphviz
- mxbase
- libpython
- re2
- pymunk
- pygtk
- cgal-bindings
- bio_formats
- pysfml
- pyexiv2
- pylibdeconv
- iocbio
- pymix
- umysql
- lazyflow
- mmlib
- cheetah
- scikits.timeseries
- casuarius
- wxpython
- ilastik
- quickfix
- pywcs
- scientificpython
- vpython
- nmoldyn
- mmtk
- pyalembic
- polymode
- scikits.delaunay
- cld
- py-fcm
- oursql
- zfec
- py2exe
- pymutt
- carray
- llvmpy
- cgkit
- pymedia
- scipy-cluster
- scikits.scattpy
- scikits.samplerate
- scikits.ann
- pyxml
- pytst
- delny
- mysql-python
- htseq
- pyusb-ftdi
- silvercity
- steps
- pylibtiff
- pysparse
- pyropes
- scikits.hydroclimpy
- sendkeys
- pydbg
- pyisapie
- AD3, Alternating Directions Dual Decomposition.
- ad3‑2.1‑cp27‑cp27m‑win32.whl
- ad3‑2.1‑cp27‑cp27m‑win_amd64.whl
- ad3‑2.1‑cp34‑cp34m‑win32.whl
- ad3‑2.1‑cp34‑cp34m‑win_amd64.whl
- ad3‑2.1‑cp35‑cp35m‑win32.whl
- ad3‑2.1‑cp35‑cp35m‑win_amd64.whl
- ad3‑2.1‑cp36‑cp36m‑win32.whl
- ad3‑2.1‑cp36‑cp36m‑win_amd64.whl
- Aiohttp, a http client/server for asyncio.
- aiohttp‑2.2.5‑cp34‑cp34m‑win32.whl
- aiohttp‑2.2.5‑cp34‑cp34m‑win_amd64.whl
- aiohttp‑2.2.5‑cp35‑cp35m‑win32.whl
- aiohttp‑2.2.5‑cp35‑cp35m‑win_amd64.whl
- aiohttp‑2.2.5‑cp36‑cp36m‑win32.whl
- aiohttp‑2.2.5‑cp36‑cp36m‑win_amd64.whl
- Akima, interpolation of data points in a
plane based on Akima’s method.- akima‑2015.1.29‑cp27‑none‑win32.whl
- akima‑2015.1.29‑cp27‑none‑win_amd64.whl
- akima‑2015.1.29‑cp34‑none‑win32.whl
- akima‑2015.1.29‑cp34‑none‑win_amd64.whl
- akima‑2015.1.29‑cp35‑none‑win32.whl
- akima‑2015.1.29‑cp35‑none‑win_amd64.whl
- akima‑2015.1.29‑cp36‑cp36m‑win32.whl
- akima‑2015.1.29‑cp36‑cp36m‑win_amd64.whl
- APSW, another PythonSQLite wrapper.
- apsw‑3.16.2.post1‑cp27‑cp27m‑win32.whl
- apsw‑3.16.2.post1‑cp27‑cp27m‑win_amd64.whl
- apsw‑3.16.2.post1‑cp34‑cp34m‑win32.whl
- apsw‑3.16.2.post1‑cp34‑cp34m‑win_amd64.whl
- apsw‑3.16.2.post1‑cp35‑cp35m‑win32.whl
- apsw‑3.16.2.post1‑cp35‑cp35m‑win_amd64.whl
- apsw‑3.16.2.post1‑cp36‑cp36m‑win32.whl
- apsw‑3.16.2.post1‑cp36‑cp36m‑win_amd64.whl
- Aspell-python bindings forGNU
Aspell.
Using the LyX fork.- aspell_python‑1.15‑cp27‑cp27m‑win32.whl
- aspell_python‑1.15‑cp27‑cp27m‑win_amd64.whl
- aspell_python‑1.15‑cp34‑cp34m‑win32.whl
- aspell_python‑1.15‑cp34‑cp34m‑win_amd64.whl
- aspell_python‑1.15‑cp35‑cp35m‑win32.whl
- aspell_python‑1.15‑cp35‑cp35m‑win_amd64.whl
- aspell_python‑1.15‑cp36‑cp36m‑win32.whl
- aspell_python‑1.15‑cp36‑cp36m‑win_amd64.whl
- Assimulo, a package for solving ordinary differential
equations.
Requires numpy+mkl.- Assimulo‑2.9‑cp27‑cp27m‑win32.whl
- Assimulo‑2.9‑cp27‑cp27m‑win_amd64.whl
- Assimulo‑2.9‑cp34‑cp34m‑win32.whl
- Assimulo‑2.9‑cp34‑cp34m‑win_amd64.whl
- Assimulo‑2.9‑cp35‑cp35m‑win32.whl
- Assimulo‑2.9‑cp35‑cp35m‑win_amd64.whl
- Assimulo‑2.9‑cp36‑cp36m‑win32.whl
- Assimulo‑2.9‑cp36‑cp36m‑win_amd64.whl
- Astropy, a core package for astronomy.
- astropy‑2.0.2‑cp27‑cp27m‑win32.whl
- astropy‑2.0.2‑cp27‑cp27m‑win_amd64.whl
- astropy‑2.0.2‑cp34‑cp34m‑win32.whl
- astropy‑2.0.2‑cp34‑cp34m‑win_amd64.whl
- astropy‑2.0.2‑cp35‑cp35m‑win32.whl
- astropy‑2.0.2‑cp35‑cp35m‑win_amd64.whl
- astropy‑2.0.2‑cp36‑cp36m‑win32.whl
- astropy‑2.0.2‑cp36‑cp36m‑win_amd64.whl
- Atom, memory efficient Python objects.
This package conflicts with Google’s gdata.- atom‑0.3.10‑cp27‑none‑win32.whl
- atom‑0.3.10‑cp27‑none‑win_amd64.whl
- atom‑0.3.11‑cp34‑cp34m‑win32.whl
- atom‑0.3.11‑cp34‑cp34m‑win_amd64.whl
- atom‑0.3.11‑cp35‑cp35m‑win32.whl
- atom‑0.3.11‑cp35‑cp35m‑win_amd64.whl
- atom‑0.3.11‑cp36‑cp36m‑win32.whl
- atom‑0.3.11‑cp36‑cp36m‑win_amd64.whl
- AutoPy, a GUI automation toolkit.
- autopy‑0.51‑cp27‑cp27m‑win32.whl
- autopy‑0.51‑cp27‑cp27m‑win_amd64.whl
- autopy3‑0.51.1‑cp34‑cp34m‑win32.whl
- autopy3‑0.51.1‑cp34‑cp34m‑win_amd64.whl
- autopy3‑0.51.1‑cp35‑cp35m‑win32.whl
- autopy3‑0.51.1‑cp35‑cp35m‑win_amd64.whl
- autopy3‑0.51.1‑cp36‑cp36m‑win32.whl
- autopy3‑0.51.1‑cp36‑cp36m‑win_amd64.whl
- Babel, tools for internationalizing Python
applications.- Babel‑2.4.0‑py2‑none‑any.whl
- Babel‑2.4.0‑py3‑none‑any.whl
- Babel‑2.5.1‑py2‑none‑any.whl
- Babel‑2.5.1‑py3‑none‑any.whl
- Backports.lzma, a backport of
Python 3.3’s lzma module.- backports.lzma‑0.0.8‑cp27‑cp27m‑win32.whl
- backports.lzma‑0.0.8‑cp27‑cp27m‑win_amd64.whl
- backports.lzma‑0.0.8‑cp34‑cp34m‑win32.whl
- backports.lzma‑0.0.8‑cp34‑cp34m‑win_amd64.whl
- backports.lzma‑0.0.8‑cp35‑cp35m‑win32.whl
- backports.lzma‑0.0.8‑cp35‑cp35m‑win_amd64.whl
- backports.lzma‑0.0.8‑cp36‑cp36m‑win32.whl
- backports.lzma‑0.0.8‑cp36‑cp36m‑win_amd64.whl
- Basemap, a matplotlib toolkit for plotting
2D data on maps based onGEOS.
Requires pyproj.- basemap‑1.1.0‑cp27‑cp27m‑win32.whl
- basemap‑1.1.0‑cp27‑cp27m‑win_amd64.whl
- basemap‑1.1.0‑cp34‑cp34m‑win32.whl
- basemap‑1.1.0‑cp34‑cp34m‑win_amd64.whl
- basemap‑1.1.0‑cp35‑cp35m‑win32.whl
- basemap‑1.1.0‑cp35‑cp35m‑win_amd64.whl
- basemap‑1.1.0‑cp36‑cp36m‑win32.whl
- basemap‑1.1.0‑cp36‑cp36m‑win_amd64.whl
- Bazaar, a version control system.
- Bcolz provides columnar and compressed data containers.
- bcolz‑1.1.2‑cp27‑cp27m‑win32.whl
- bcolz‑1.1.2‑cp27‑cp27m‑win_amd64.whl
- bcolz‑1.1.2‑cp34‑cp34m‑win32.whl
- bcolz‑1.1.2‑cp34‑cp34m‑win_amd64.whl
- bcolz‑1.1.2‑cp35‑cp35m‑win32.whl
- bcolz‑1.1.2‑cp35‑cp35m‑win_amd64.whl
- bcolz‑1.1.2‑cp36‑cp36m‑win32.whl
- bcolz‑1.1.2‑cp36‑cp36m‑win_amd64.whl
- Bigfloat, arbitrary precision correctly-rounded
floating point arithmetic, via MPFR.
Superseded by gmpy2.- bigfloat‑0.3.0‑cp27‑cp27m‑win32.whl
- bigfloat‑0.3.0‑cp27‑cp27m‑win_amd64.whl
- bigfloat‑0.3.0‑cp34‑cp34m‑win32.whl
- bigfloat‑0.3.0‑cp34‑cp34m‑win_amd64.whl
- bigfloat‑0.3.0‑cp35‑cp35m‑win32.whl
- bigfloat‑0.3.0‑cp35‑cp35m‑win_amd64.whl
- bigfloat‑0.3.0‑cp36‑cp36m‑win32.whl
- bigfloat‑0.3.0‑cp36‑cp36m‑win_amd64.whl
- Bio_formats (experimental), a JCC generated wrapper for theBio-Formats andSCIFIO Java
libraries.
Requires Java SE 8 and JVM.DLL in the PATH. - Biopython, a set of tools for biological
computation.- biopython‑1.70‑cp27‑cp27m‑win32.whl
- biopython‑1.70‑cp27‑cp27m‑win_amd64.whl
- biopython‑1.70‑cp34‑cp34m‑win32.whl
- biopython‑1.70‑cp34‑cp34m‑win_amd64.whl
- biopython‑1.70‑cp35‑cp35m‑win32.whl
- biopython‑1.70‑cp35‑cp35m‑win_amd64.whl
- biopython‑1.70‑cp36‑cp36m‑win32.whl
- biopython‑1.70‑cp36‑cp36m‑win_amd64.whl
- Bitarray provides an object type which
efficiently represents an array of booleans.- bitarray‑0.8.1‑cp27‑cp27m‑win32.whl
- bitarray‑0.8.1‑cp27‑cp27m‑win_amd64.whl
- bitarray‑0.8.1‑cp34‑cp34m‑win32.whl
- bitarray‑0.8.1‑cp34‑cp34m‑win_amd64.whl
- bitarray‑0.8.1‑cp35‑cp35m‑win32.whl
- bitarray‑0.8.1‑cp35‑cp35m‑win_amd64.whl
- bitarray‑0.8.1‑cp36‑cp36m‑win32.whl
- bitarray‑0.8.1‑cp36‑cp36m‑win_amd64.whl
- Blaze translates NumPy/Pandas-like syntax to systems like
databases.- blaze‑0.10.1‑py2.py3‑none‑any.whl
- datashape‑0.5.2‑py2.py3‑none‑any.whl
- odo‑0.5.0‑py2.py3‑none‑any.whl
- Blist, a list-like type with better performance
for large lists.- blist‑1.3.6‑cp27‑cp27m‑win32.whl
- blist‑1.3.6‑cp27‑cp27m‑win_amd64.whl
- blist‑1.3.6‑cp34‑cp34m‑win32.whl
- blist‑1.3.6‑cp34‑cp34m‑win_amd64.whl
- blist‑1.3.6‑cp35‑cp35m‑win32.whl
- blist‑1.3.6‑cp35‑cp35m‑win_amd64.whl
- blist‑1.3.6‑cp36‑cp36m‑win32.whl
- blist‑1.3.6‑cp36‑cp36m‑win_amd64.whl
- Blosc, a high performance compressor optimized
for binary data.- blosc‑1.5.1‑cp27‑cp27m‑win32.whl
- blosc‑1.5.1‑cp27‑cp27m‑win_amd64.whl
- blosc‑1.5.1‑cp34‑cp34m‑win32.whl
- blosc‑1.5.1‑cp34‑cp34m‑win_amd64.whl
- blosc‑1.5.1‑cp35‑cp35m‑win32.whl
- blosc‑1.5.1‑cp35‑cp35m‑win_amd64.whl
- blosc‑1.5.1‑cp36‑cp36m‑win32.whl
- blosc‑1.5.1‑cp36‑cp36m‑win_amd64.whl
- Blz, a chunked, compressed, data container (for
memory and disk).- blz‑0.6.2‑cp27‑cp27m‑win32.whl
- blz‑0.6.2‑cp27‑cp27m‑win_amd64.whl
- blz‑0.6.2‑cp34‑cp34m‑win32.whl
- blz‑0.6.2‑cp34‑cp34m‑win_amd64.whl
- blz‑0.6.2‑cp35‑cp35m‑win32.whl
- blz‑0.6.2‑cp35‑cp35m‑win_amd64.whl
- blz‑0.6.2‑cp36‑cp36m‑win32.whl
- blz‑0.6.2‑cp36‑cp36m‑win_amd64.whl
- Bokeh, an implementation of the Grammar of
Graphics for output to the HTML5 Canvas.
Requires many dependencies. - Boost.Python enables seamless interoperability
between C++ and Python.- boost_python‑1.63‑cp27‑cp27m‑win32.whl
- boost_python‑1.63‑cp27‑cp27m‑win_amd64.whl
- boost_python‑1.63‑cp34‑cp34m‑win32.whl
- boost_python‑1.63‑cp34‑cp34m‑win_amd64.whl
- boost_python‑1.63‑cp35‑cp35m‑win32.whl
- boost_python‑1.63‑cp35‑cp35m‑win_amd64.whl
- boost_python‑1.63‑cp36‑cp36m‑win32.whl
- boost_python‑1.63‑cp36‑cp36m‑win_amd64.whl
- Bottleneck provides fast NumPy array
functions written in Cython.- Bottleneck‑1.2.1‑cp27‑cp27m‑win32.whl
- Bottleneck‑1.2.1‑cp27‑cp27m‑win_amd64.whl
- Bottleneck‑1.2.1‑cp34‑cp34m‑win32.whl
- Bottleneck‑1.2.1‑cp34‑cp34m‑win_amd64.whl
- Bottleneck‑1.2.1‑cp35‑cp35m‑win32.whl
- Bottleneck‑1.2.1‑cp35‑cp35m‑win_amd64.whl
- Bottleneck‑1.2.1‑cp36‑cp36m‑win32.whl
- Bottleneck‑1.2.1‑cp36‑cp36m‑win_amd64.whl
- Brotli, a lossless compression algorithm.
- Brotli‑1.0.0‑cp27‑cp27m‑win32.whl
- Brotli‑1.0.0‑cp27‑cp27m‑win_amd64.whl
- Brotli‑1.0.0‑cp34‑cp34m‑win32.whl
- Brotli‑1.0.0‑cp34‑cp34m‑win_amd64.whl
- Brotli‑1.0.0‑cp35‑cp35m‑win32.whl
- Brotli‑1.0.0‑cp35‑cp35m‑win_amd64.whl
- Brotli‑1.0.0‑cp36‑cp36m‑win32.whl
- Brotli‑1.0.0‑cp36‑cp36m‑win_amd64.whl
- Bsddb3, bindings for theOracle
Berkeley DB database. Linked to db-5.3.28.- bsddb3‑6.2.5‑cp27‑cp27m‑win32.whl
- bsddb3‑6.2.5‑cp27‑cp27m‑win_amd64.whl
- bsddb3‑6.2.5‑cp34‑cp34m‑win32.whl
- bsddb3‑6.2.5‑cp34‑cp34m‑win_amd64.whl
- bsddb3‑6.2.5‑cp35‑cp35m‑win32.whl
- bsddb3‑6.2.5‑cp35‑cp35m‑win_amd64.whl
- bsddb3‑6.2.5‑cp36‑cp36m‑win32.whl
- bsddb3‑6.2.5‑cp36‑cp36m‑win_amd64.whl
- Bsdiff4, binary diff and patch using the
BSDIFF4-format.- bsdiff4‑1.1.4‑cp27‑cp27m‑win32.whl
- bsdiff4‑1.1.4‑cp27‑cp27m‑win_amd64.whl
- bsdiff4‑1.1.4‑cp34‑cp34m‑win32.whl
- bsdiff4‑1.1.4‑cp34‑cp34m‑win_amd64.whl
- bsdiff4‑1.1.4‑cp35‑cp35m‑win32.whl
- bsdiff4‑1.1.4‑cp35‑cp35m‑win_amd64.whl
- bsdiff4‑1.1.4‑cp36‑cp36m‑win32.whl
- bsdiff4‑1.1.4‑cp36‑cp36m‑win_amd64.whl
- BTrees, scalable persistent object containers.
- BTrees‑4.4.1‑cp27‑cp27m‑win32.whl
- BTrees‑4.4.1‑cp27‑cp27m‑win_amd64.whl
- BTrees‑4.4.1‑cp34‑cp34m‑win32.whl
- BTrees‑4.4.1‑cp34‑cp34m‑win_amd64.whl
- BTrees‑4.4.1‑cp35‑cp35m‑win32.whl
- BTrees‑4.4.1‑cp35‑cp35m‑win_amd64.whl
- BTrees‑4.4.1‑cp36‑cp36m‑win32.whl
- BTrees‑4.4.1‑cp36‑cp36m‑win_amd64.whl
- Cairocffi, CFFI-based bindings for thecairo graphics
library.
GDK-PixBuf is not supported by this distribution.- cairocffi‑0.8.0‑cp27‑cp27m‑win32.whl
- cairocffi‑0.8.0‑cp27‑cp27m‑win_amd64.whl
- cairocffi‑0.8.0‑cp34‑cp34m‑win32.whl
- cairocffi‑0.8.0‑cp34‑cp34m‑win_amd64.whl
- cairocffi‑0.8.0‑cp35‑cp35m‑win32.whl
- cairocffi‑0.8.0‑cp35‑cp35m‑win_amd64.whl
- cairocffi‑0.8.0‑cp36‑cp36m‑win32.whl
- cairocffi‑0.8.0‑cp36‑cp36m‑win_amd64.whl
- Cantera, a tool suite for chemical kinetics,
thermodynamics, and transport.
Requires numpy+mkl.- Cantera‑2.2.1‑cp27‑cp27m‑win32.whl
- Cantera‑2.2.1‑cp27‑cp27m‑win_amd64.whl
- Cantera‑2.2.1‑cp34‑cp34m‑win32.whl
- Cantera‑2.2.1‑cp34‑cp34m‑win_amd64.whl
- Cantera‑2.3.0‑cp35‑cp35m‑win32.whl
- Cantera‑2.3.0‑cp35‑cp35m‑win_amd64.whl
- Cantera‑2.3.0‑cp36‑cp36m‑win32.whl
- Cantera‑2.3.0‑cp36‑cp36m‑win_amd64.whl
- Carray, a chunked data container that can
be compressed in-memory. - Cartopy, a library providing cartographic
tools.- Cartopy‑0.15.1‑cp27‑cp27m‑win32.whl
- Cartopy‑0.15.1‑cp27‑cp27m‑win_amd64.whl
- Cartopy‑0.15.1‑cp34‑cp34m‑win32.whl
- Cartopy‑0.15.1‑cp34‑cp34m‑win_amd64.whl
- Cartopy‑0.15.1‑cp35‑cp35m‑win32.whl
- Cartopy‑0.15.1‑cp35‑cp35m‑win_amd64.whl
- Cartopy‑0.15.1‑cp36‑cp36m‑win32.whl
- Cartopy‑0.15.1‑cp36‑cp36m‑win_amd64.whl
- Casuarius, bindings for theCassowary constraint
solving toolkit. - cChardet, a universal character encoding
detector – binding tolibcharsetdetect.- cchardet‑2.1.1‑cp27‑cp27m‑win32.whl
- cchardet‑2.1.1‑cp27‑cp27m‑win_amd64.whl
- cchardet‑2.1.1‑cp34‑cp34m‑win32.whl
- cchardet‑2.1.1‑cp34‑cp34m‑win_amd64.whl
- cchardet‑2.1.1‑cp35‑cp35m‑win32.whl
- cchardet‑2.1.1‑cp35‑cp35m‑win_amd64.whl
- cchardet‑2.1.1‑cp36‑cp36m‑win32.whl
- cchardet‑2.1.1‑cp36‑cp36m‑win_amd64.whl
- Cdecimal, a package for correctly-rounded
arbitrary precision decimal floating point arithmetic.- cdecimal‑2.3‑cp27‑cp27m‑win32.whl
- cdecimal‑2.3‑cp27‑cp27m‑win_amd64.whl
- cdecimal‑2.3‑cp34‑cp34m‑win32.whl
- cdecimal‑2.3‑cp34‑cp34m‑win_amd64.whl
- cdecimal‑2.3‑cp35‑cp35m‑win32.whl
- cdecimal‑2.3‑cp35‑cp35m‑win_amd64.whl
- cdecimal‑2.3‑cp36‑cp36m‑win32.whl
- cdecimal‑2.3‑cp36‑cp36m‑win_amd64.whl
- CellCognition, an image analysis framework for
fluorescence time-lapse microscopy.
Requires numpy+mkl, scipy, matplotlib, pyqt4, libsvm, vigra, qimage2ndarray,h5py,pandas andscikit-learn.- CellCognition‑1.5.2‑cp27‑none‑win32.whl
- CellCognition‑1.5.2‑cp27‑none‑win_amd64.whl
- cellh5‑1.2.0‑py2‑none‑any.whl
- cellh5‑1.3.0‑py2‑none‑any.whl
- CellProfiler is software for
quantitative analysis of biological images.
Requires numpy+mkl, scipy, matplotlib, wxpython, h5py, vigra, mysqldb, pillow,
and whatnot. - ceODBC enables access to databases using the ODBC
API.- ceODBC‑2.0.1‑cp27‑cp27m‑win32.whl
- ceODBC‑2.0.1‑cp27‑cp27m‑win_amd64.whl
- ceODBC‑2.0.1‑cp34‑cp34m‑win32.whl
- ceODBC‑2.0.1‑cp34‑cp34m‑win_amd64.whl
- ceODBC‑2.0.1‑cp35‑cp35m‑win32.whl
- ceODBC‑2.0.1‑cp35‑cp35m‑win_amd64.whl
- ceODBC‑2.0.1‑cp36‑cp36m‑win32.whl
- ceODBC‑2.0.1‑cp36‑cp36m‑win_amd64.whl
- Cffi, a Foreign Function Interface for calling C
code.
Requires pycparser.- cffi‑1.11.2‑cp27‑cp27m‑win32.whl
- cffi‑1.11.2‑cp27‑cp27m‑win_amd64.whl
- cffi‑1.11.2‑cp34‑cp34m‑win32.whl
- cffi‑1.11.2‑cp34‑cp34m‑win_amd64.whl
- cffi‑1.11.2‑cp35‑cp35m‑win32.whl
- cffi‑1.11.2‑cp35‑cp35m‑win_amd64.whl
- cffi‑1.11.2‑cp36‑cp36m‑win32.whl
- cffi‑1.11.2‑cp36‑cp36m‑win_amd64.whl
- CGAL-bindings, bindings for theComputational
Geometry Algorithms Library.- cgal_bindings‑4.4‑cp27‑none‑win32.whl
- cgal_bindings‑4.4‑cp27‑none‑win_amd64.whl
- cgal_bindings‑4.4‑cp34‑none‑win32.whl
- cgal_bindings‑4.4‑cp34‑none‑win_amd64.whl
- Cgkit, the Computer Graphics Kit, is useful for dealing
with 3D data of any kind.- cgkit‑2.0.0‑cp27‑none‑win32.whl
- cgkit‑2.0.0‑cp27‑none‑win_amd64.whl
- cgkit‑2.0.0‑cp34‑none‑win32.whl
- cgkit‑2.0.0‑cp34‑none‑win_amd64.whl
- Chaco, building interactive and custom 2-D plots.
Part of the Enthought Tool Suite.- chaco‑4.7.0‑cp27‑cp27m‑win32.whl
- chaco‑4.7.0‑cp27‑cp27m‑win_amd64.whl
- chaco‑4.7.0‑cp34‑cp34m‑win32.whl
- chaco‑4.7.0‑cp34‑cp34m‑win_amd64.whl
- chaco‑4.7.0‑cp35‑cp35m‑win32.whl
- chaco‑4.7.0‑cp35‑cp35m‑win_amd64.whl
- chaco‑4.7.0‑cp36‑cp36m‑win32.whl
- chaco‑4.7.0‑cp36‑cp36m‑win_amd64.whl
- Chainer, a flexible framework of neural networks
for deep learning.
Requires CUDA 8 and CUDNN 6.- chainer‑1.24.0‑cp27‑cp27m‑win_amd64.whl
- chainer‑1.24.0‑cp34‑cp34m‑win_amd64.whl
- chainer‑1.24.0‑cp35‑cp35m‑win_amd64.whl
- chainer‑1.24.0‑cp36‑cp36m‑win_amd64.whl
- chainer‑2.1.0‑py3‑none‑any.whl
- cupy‑1.0.3‑cp35‑cp35m‑win_amd64.whl
- cupy‑1.0.3‑cp36‑cp36m‑win_amd64.whl
- Chebyfit, fit multiple exponential and
harmonic functions using Chebyshev polynomials.- chebyfit‑2015.3.19‑cp27‑none‑win32.whl
- chebyfit‑2015.3.19‑cp27‑none‑win_amd64.whl
- chebyfit‑2015.3.19‑cp34‑none‑win32.whl
- chebyfit‑2015.3.19‑cp34‑none‑win_amd64.whl
- chebyfit‑2015.3.19‑cp35‑none‑win32.whl
- chebyfit‑2015.3.19‑cp35‑none‑win_amd64.whl
- chebyfit‑2015.3.19‑cp36‑cp36m‑win32.whl
- chebyfit‑2015.3.19‑cp36‑cp36m‑win_amd64.whl
- Cheetah, a template engine and code generation
tool. - Chompack, a library for chordal matrix computations.
- chompack‑2.3.2‑cp35‑cp35m‑win32.whl
- chompack‑2.3.2‑cp35‑cp35m‑win_amd64.whl
- chompack‑2.3.2‑cp36‑cp36m‑win32.whl
- chompack‑2.3.2‑cp36‑cp36m‑win_amd64.whl
- CLD wraps Chromium’s Compact Language Detector library.
- COBRA, a package for constraints-based modeling
of biological networks.- cobra‑0.9.0‑cp27‑cp27m‑win32.whl
- cobra‑0.9.0‑cp27‑cp27m‑win_amd64.whl
- cobra‑0.9.0‑cp34‑cp34m‑win32.whl
- cobra‑0.9.0‑cp34‑cp34m‑win_amd64.whl
- cobra‑0.9.0‑cp35‑cp35m‑win32.whl
- cobra‑0.9.0‑cp35‑cp35m‑win_amd64.whl
- cobra‑0.9.0‑cp36‑cp36m‑win32.whl
- cobra‑0.9.0‑cp36‑cp36m‑win_amd64.whl
- Coverage measures code coverage of programs
during test execution.- coverage‑4.4.1‑cp27‑cp27m‑win32.whl
- coverage‑4.4.1‑cp27‑cp27m‑win_amd64.whl
- coverage‑4.4.1‑cp34‑cp34m‑win32.whl
- coverage‑4.4.1‑cp34‑cp34m‑win_amd64.whl
- coverage‑4.4.1‑cp35‑cp35m‑win32.whl
- coverage‑4.4.1‑cp35‑cp35m‑win_amd64.whl
- coverage‑4.4.1‑cp36‑cp36m‑win32.whl
- coverage‑4.4.1‑cp36‑cp36m‑win_amd64.whl
- Crc16 calculates CRC16 (Cyclic Redundancy Check).
- crc16‑0.1.1‑cp27‑cp27m‑win32.whl
- crc16‑0.1.1‑cp27‑cp27m‑win_amd64.whl
- crc16‑0.1.1‑cp34‑cp34m‑win32.whl
- crc16‑0.1.1‑cp34‑cp34m‑win_amd64.whl
- crc16‑0.1.1‑cp35‑cp35m‑win32.whl
- crc16‑0.1.1‑cp35‑cp35m‑win_amd64.whl
- crc16‑0.1.1‑cp36‑cp36m‑win32.whl
- crc16‑0.1.1‑cp36‑cp36m‑win_amd64.whl
- Crcmod computes Cyclic Redundancy Checks (CRC).
- crcmod‑1.7‑cp27‑cp27m‑win32.whl
- crcmod‑1.7‑cp27‑cp27m‑win_amd64.whl
- crcmod‑1.7‑cp34‑cp34m‑win32.whl
- crcmod‑1.7‑cp34‑cp34m‑win_amd64.whl
- crcmod‑1.7‑cp35‑cp35m‑win32.whl
- crcmod‑1.7‑cp35‑cp35m‑win_amd64.whl
- crcmod‑1.7‑cp36‑cp36m‑win32.whl
- crcmod‑1.7‑cp36‑cp36m‑win_amd64.whl
- Curses, an extension based on thePDCurses library.
Unicode characters are not supported.- curses‑2.2‑cp27‑none‑win32.whl
- curses‑2.2‑cp27‑none‑win_amd64.whl
- curses‑2.2‑cp34‑none‑win32.whl
- curses‑2.2‑cp34‑none‑win_amd64.whl
- curses‑2.2‑cp35‑none‑win32.whl
- curses‑2.2‑cp35‑none‑win_amd64.whl
- curses‑2.2‑cp36‑cp36m‑win32.whl
- curses‑2.2‑cp36‑cp36m‑win_amd64.whl
- curses‑2.2‑source.zip
- CVXcanon, common operations for convex optimization
modeling tools.- CVXcanon‑0.1.1‑cp27‑cp27m‑win32.whl
- CVXcanon‑0.1.1‑cp27‑cp27m‑win_amd64.whl
- CVXcanon‑0.1.1‑cp34‑cp34m‑win32.whl
- CVXcanon‑0.1.1‑cp34‑cp34m‑win_amd64.whl
- CVXcanon‑0.1.1‑cp35‑cp35m‑win32.whl
- CVXcanon‑0.1.1‑cp35‑cp35m‑win_amd64.whl
- CVXcanon‑0.1.1‑cp36‑cp36m‑win32.whl
- CVXcanon‑0.1.1‑cp36‑cp36m‑win_amd64.whl
- CVXOPT (experimental non-MKL icl build), a package
for convex optimization.
Includes GSL, FFTW, and GLPK w/ MPIR modules.
Linked to numpy-atlas instead of MKL.
Requires numpy+mkl.- cvxopt‑1.1.9‑cp27‑cp27m‑win32.whl
- cvxopt‑1.1.9‑cp27‑cp27m‑win_amd64.whl
- cvxopt‑1.1.9‑cp34‑cp34m‑win32.whl
- cvxopt‑1.1.9‑cp34‑cp34m‑win_amd64.whl
- cvxopt‑1.1.9‑cp35‑cp35m‑win32.whl
- cvxopt‑1.1.9‑cp35‑cp35m‑win_amd64.whl
- cvxopt‑1.1.9‑cp36‑cp36m‑win32.whl
- cvxopt‑1.1.9‑cp36‑cp36m‑win_amd64.whl
- CVXPY, a modeling language for convex optimization
problems.
Requires numpy+mkl, scipy, cvxopt, scs,
and ecos. - cx_Freeze, a set of scripts
and modules for freezing Python scripts into executable.- cx_Freeze‑5.0.2‑cp27‑cp27m‑win32.whl
- cx_Freeze‑5.0.2‑cp27‑cp27m‑win_amd64.whl
- cx_Freeze‑5.0.2‑cp34‑cp34m‑win32.whl
- cx_Freeze‑5.0.2‑cp34‑cp34m‑win_amd64.whl
- cx_Freeze‑5.0.2‑cp35‑cp35m‑win32.whl
- cx_Freeze‑5.0.2‑cp35‑cp35m‑win_amd64.whl
- cx_Freeze‑5.0.2‑cp36‑cp36m‑win32.whl
- cx_Freeze‑5.0.2‑cp36‑cp36m‑win_amd64.whl
- cx_Oracle, an interface to
theOracle Database conforming to the Python DB API 2.0 specification.- cx_Oracle‑5.3+oci12c‑cp27‑cp27m‑win32.whl
- cx_Oracle‑5.3+oci12c‑cp27‑cp27m‑win_amd64.whl
- cx_Oracle‑5.3+oci12c‑cp34‑cp34m‑win32.whl
- cx_Oracle‑5.3+oci12c‑cp34‑cp34m‑win_amd64.whl
- cx_Oracle‑5.3+oci12c‑cp35‑cp35m‑win32.whl
- cx_Oracle‑5.3+oci12c‑cp35‑cp35m‑win_amd64.whl
- cx_Oracle‑5.3+oci12c‑cp36‑cp36m‑win32.whl
- cx_Oracle‑5.3+oci12c‑cp36‑cp36m‑win_amd64.whl
- cx_Oracle‑6.0.2‑cp27‑cp27m‑win32.whl
- cx_Oracle‑6.0.2‑cp27‑cp27m‑win_amd64.whl
- cx_Oracle‑6.0.2‑cp34‑cp34m‑win32.whl
- cx_Oracle‑6.0.2‑cp34‑cp34m‑win_amd64.whl
- cx_Oracle‑6.0.2‑cp35‑cp35m‑win32.whl
- cx_Oracle‑6.0.2‑cp35‑cp35m‑win_amd64.whl
- cx_Oracle‑6.0.2‑cp36‑cp36m‑win32.whl
- cx_Oracle‑6.0.2‑cp36‑cp36m‑win_amd64.whl
- Cyassimp, bindings for theOpen
Assimp Import Library.- cyassimp‑0.2.2‑cp27‑cp27m‑win32.whl
- cyassimp‑0.2.2‑cp27‑cp27m‑win_amd64.whl
- cyassimp‑0.2.2‑cp34‑cp34m‑win32.whl
- cyassimp‑0.2.2‑cp34‑cp34m‑win_amd64.whl
- cyassimp‑0.2.2‑cp35‑cp35m‑win32.whl
- cyassimp‑0.2.2‑cp35‑cp35m‑win_amd64.whl
- cyassimp‑0.2.2‑cp36‑cp36m‑win32.whl
- cyassimp‑0.2.2‑cp36‑cp36m‑win_amd64.whl
- Cyordereddict, a Cython implementation
of OrderedDict.- cyordereddict‑1.0.0‑cp27‑cp27m‑win32.whl
- cyordereddict‑1.0.0‑cp27‑cp27m‑win_amd64.whl
- cyordereddict‑1.0.0‑cp34‑cp34m‑win32.whl
- cyordereddict‑1.0.0‑cp34‑cp34m‑win_amd64.whl
- cyordereddict‑1.0.0‑cp35‑cp35m‑win32.whl
- cyordereddict‑1.0.0‑cp35‑cp35m‑win_amd64.whl
- cyordereddict‑1.0.0‑cp36‑cp36m‑win32.whl
- cyordereddict‑1.0.0‑cp36‑cp36m‑win_amd64.whl
- Cyrasterize, OpenGL offscreen rasterizing.
- cyrasterize‑0.3.2‑cp27‑cp27m‑win32.whl
- cyrasterize‑0.3.2‑cp27‑cp27m‑win_amd64.whl
- cyrasterize‑0.3.2‑cp34‑cp34m‑win32.whl
- cyrasterize‑0.3.2‑cp34‑cp34m‑win_amd64.whl
- cyrasterize‑0.3.2‑cp35‑cp35m‑win32.whl
- cyrasterize‑0.3.2‑cp35‑cp35m‑win_amd64.whl
- cyrasterize‑0.3.2‑cp36‑cp36m‑win32.whl
- cyrasterize‑0.3.2‑cp36‑cp36m‑win_amd64.whl
- Cython, a language for writing Python C extensions.
- Cython‑0.26.1‑cp27‑cp27m‑win32.whl
- Cython‑0.26.1‑cp27‑cp27m‑win_amd64.whl
- Cython‑0.26.1‑cp34‑cp34m‑win32.whl
- Cython‑0.26.1‑cp34‑cp34m‑win_amd64.whl
- Cython‑0.26.1‑cp35‑cp35m‑win32.whl
- Cython‑0.26.1‑cp35‑cp35m‑win_amd64.whl
- Cython‑0.26.1‑cp36‑cp36m‑win32.whl
- Cython‑0.26.1‑cp36‑cp36m‑win_amd64.whl
- Cython‑0.27.1‑cp27‑cp27m‑win32.whl
- Cython‑0.27.1‑cp27‑cp27m‑win_amd64.whl
- Cython‑0.27.1‑cp34‑cp34m‑win32.whl
- Cython‑0.27.1‑cp34‑cp34m‑win_amd64.whl
- Cython‑0.27.1‑cp35‑cp35m‑win32.whl
- Cython‑0.27.1‑cp35‑cp35m‑win_amd64.whl
- Cython‑0.27.1‑cp36‑cp36m‑win32.whl
- Cython‑0.27.1‑cp36‑cp36m‑win_amd64.whl
- Cytoolz, high performance functional utilities.
- cytoolz‑0.8.2‑cp27‑cp27m‑win32.whl
- cytoolz‑0.8.2‑cp27‑cp27m‑win_amd64.whl
- cytoolz‑0.8.2‑cp34‑cp34m‑win32.whl
- cytoolz‑0.8.2‑cp34‑cp34m‑win_amd64.whl
- cytoolz‑0.8.2‑cp35‑cp35m‑win32.whl
- cytoolz‑0.8.2‑cp35‑cp35m‑win_amd64.whl
- cytoolz‑0.8.2‑cp36‑cp36m‑win32.whl
- cytoolz‑0.8.2‑cp36‑cp36m‑win_amd64.whl
- Czifile, read image and metadata from Carl
Zeiss(r) CZI files.- czifile‑2017.7.13‑cp27‑cp27m‑win32.whl
- czifile‑2017.7.13‑cp27‑cp27m‑win_amd64.whl
- czifile‑2017.7.13‑cp34‑cp34m‑win32.whl
- czifile‑2017.7.13‑cp34‑cp34m‑win_amd64.whl
- czifile‑2017.7.13‑cp35‑cp35m‑win32.whl
- czifile‑2017.7.13‑cp35‑cp35m‑win_amd64.whl
- czifile‑2017.7.13‑cp36‑cp36m‑win32.whl
- czifile‑2017.7.13‑cp36‑cp36m‑win_amd64.whl
- czifile‑2017.9.12‑cp27‑cp27m‑win32.whl
- czifile‑2017.9.12‑cp27‑cp27m‑win_amd64.whl
- czifile‑2017.9.12‑cp34‑cp34m‑win32.whl
- czifile‑2017.9.12‑cp34‑cp34m‑win_amd64.whl
- czifile‑2017.9.12‑cp35‑cp35m‑win32.whl
- czifile‑2017.9.12‑cp35‑cp35m‑win_amd64.whl
- czifile‑2017.9.12‑cp36‑cp36m‑win32.whl
- czifile‑2017.9.12‑cp36‑cp36m‑win_amd64.whl
- Datrie efficiently stores Trie.
- datrie‑0.7.1‑cp27‑cp27m‑win32.whl
- datrie‑0.7.1‑cp27‑cp27m‑win_amd64.whl
- datrie‑0.7.1‑cp34‑cp34m‑win32.whl
- datrie‑0.7.1‑cp34‑cp34m‑win_amd64.whl
- datrie‑0.7.1‑cp35‑cp35m‑win32.whl
- datrie‑0.7.1‑cp35‑cp35m‑win_amd64.whl
- datrie‑0.7.1‑cp36‑cp36m‑win32.whl
- datrie‑0.7.1‑cp36‑cp36m‑win_amd64.whl
- Debug-information-files installs
the Windows debug information files (*.PDB).- debug_information_files‑2.7.14‑cp27‑cp27m‑win32.whl
- debug_information_files‑2.7.14‑cp27‑cp27m‑win_amd64.whl
- debug_information_files‑3.4.4‑cp34‑cp34m‑win32.whl
- debug_information_files‑3.4.4‑cp34‑cp34m‑win_amd64.whl
- Delny creates N-dimensional Delaunay triangulations
usinglibqhull. - Dipy, a toolbox for analysis of MR diffusion imaging.
- dipy‑0.11.0‑cp27‑cp27m‑win32.whl
- dipy‑0.11.0‑cp27‑cp27m‑win_amd64.whl
- dipy‑0.11.0‑cp34‑cp34m‑win32.whl
- dipy‑0.11.0‑cp34‑cp34m‑win_amd64.whl
- dipy‑0.11.0‑cp35‑cp35m‑win32.whl
- dipy‑0.11.0‑cp35‑cp35m‑win_amd64.whl
- Discretize, discretization tools for finite
volume and inverse problems.- discretize‑0.1.9‑cp27‑cp27m‑win32.whl
- discretize‑0.1.9‑cp27‑cp27m‑win_amd64.whl
- discretize‑0.1.9‑cp34‑cp34m‑win32.whl
- discretize‑0.1.9‑cp34‑cp34m‑win_amd64.whl
- discretize‑0.1.9‑cp35‑cp35m‑win32.whl
- discretize‑0.1.9‑cp35‑cp35m‑win_amd64.whl
- discretize‑0.1.9‑cp36‑cp36m‑win32.whl
- discretize‑0.1.9‑cp36‑cp36m‑win_amd64.whl
- Dulwich, a Git library.
- dulwich‑0.18.4‑cp27‑cp27m‑win32.whl
- dulwich‑0.18.4‑cp27‑cp27m‑win_amd64.whl
- dulwich‑0.18.4‑cp34‑cp34m‑win32.whl
- dulwich‑0.18.4‑cp34‑cp34m‑win_amd64.whl
- dulwich‑0.18.4‑cp35‑cp35m‑win32.whl
- dulwich‑0.18.4‑cp35‑cp35m‑win_amd64.whl
- dulwich‑0.18.4‑cp36‑cp36m‑win32.whl
- dulwich‑0.18.4‑cp36‑cp36m‑win_amd64.whl
- DyND (experimental), bindings to thelibdynd C++
dynamic ndarray library.- dynd‑0.6.6‑cp34‑none‑win32.whl
- dynd‑0.6.6‑cp34‑none‑win_amd64.whl
- dynd‑0.7.1‑cp35‑none‑win32.whl
- dynd‑0.7.1‑cp35‑none‑win_amd64.whl
- ECOS, Embedded Conic Solver.
- ecos‑2.0.4‑cp27‑cp27m‑win32.whl
- ecos‑2.0.4‑cp27‑cp27m‑win_amd64.whl
- ecos‑2.0.4‑cp34‑cp34m‑win32.whl
- ecos‑2.0.4‑cp34‑cp34m‑win_amd64.whl
- ecos‑2.0.4‑cp35‑cp35m‑win32.whl
- ecos‑2.0.4‑cp35‑cp35m‑win_amd64.whl
- ecos‑2.0.4‑cp36‑cp36m‑win32.whl
- ecos‑2.0.4‑cp36‑cp36m‑win_amd64.whl
- Enable, low-level drawing and interaction.
Part of the Enthought Tool Suite.- enable‑4.7.0‑cp27‑cp27m‑win32.whl
- enable‑4.7.0‑cp27‑cp27m‑win_amd64.whl
- enable‑4.7.0‑cp34‑cp34m‑win32.whl
- enable‑4.7.0‑cp34‑cp34m‑win_amd64.whl
- enable‑4.7.0‑cp35‑cp35m‑win32.whl
- enable‑4.7.0‑cp35‑cp35m‑win_amd64.whl
- enable‑4.7.0‑cp36‑cp36m‑win32.whl
- enable‑4.7.0‑cp36‑cp36m‑win_amd64.whl
- Enaml, a programming language and framework for
creating user interfaces with minimal effort.
Requires atom, kiwisolver, pyqt4,
and PLY.- enaml‑0.10.0.dev0‑cp34‑cp34m‑win32.whl
- enaml‑0.10.0.dev0‑cp34‑cp34m‑win_amd64.whl
- enaml‑0.10.0.dev0‑cp35‑cp35m‑win32.whl
- enaml‑0.10.0.dev0‑cp35‑cp35m‑win_amd64.whl
- enaml‑0.10.0.dev0‑cp36‑cp36m‑win32.whl
- enaml‑0.10.0.dev0‑cp36‑cp36m‑win_amd64.whl
- enaml‑0.9.8‑cp27‑none‑win32.whl
- enaml‑0.9.8‑cp27‑none‑win_amd64.whl
- Entropy, fast entropy calculation.
- entropy‑0.10‑cp27‑cp27m‑win32.whl
- entropy‑0.10‑cp27‑cp27m‑win_amd64.whl
- entropy‑0.10‑cp34‑cp34m‑win32.whl
- entropy‑0.10‑cp34‑cp34m‑win_amd64.whl
- entropy‑0.10‑cp35‑cp35m‑win32.whl
- entropy‑0.10‑cp35‑cp35m‑win_amd64.whl
- entropy‑0.10‑cp36‑cp36m‑win32.whl
- entropy‑0.10‑cp36‑cp36m‑win_amd64.whl
- ETS (Enthought Tool Suite), a collection of components
for building scientific applications.
Requires chaco, traits, enable,
and mayavi.- apptools‑4.4.0‑py2‑none‑any.whl
- apptools‑4.4.0‑py3‑none‑any.whl
- blockcanvas‑4.0.3‑cp27‑none‑win32.whl
- blockcanvas‑4.0.3‑cp27‑none‑win_amd64.whl
- codetools‑4.2.0‑py2‑none‑any.whl
- encore‑0.7.0‑py2.py3‑none‑any.whl
- envisage‑4.6.0‑py2‑none‑any.whl
- envisage‑4.6.0‑py3‑none‑any.whl
- ets‑4.4.4‑py2‑none‑any.whl
- etsdevtools‑4.0.2‑py2‑none‑any.whl
- etsproxy‑0.1.2‑py2‑none‑any.whl
- graphcanvas‑4.0.2‑py2‑none‑any.whl
- pyface‑5.1.0‑py2‑none‑any.whl
- pyface‑5.1.0‑py3‑none‑any.whl
- scimath‑4.1.2‑cp27‑none‑win32.whl
- scimath‑4.1.2‑cp27‑none‑win_amd64.whl
- traitsui‑5.1.0‑py2‑none‑any.whl
- traitsui‑5.1.0‑py3‑none‑any.whl
- FabIO, a IO library for images produced by 2D
X-ray detector.- fabio‑0.5.0‑cp27‑cp27m‑win32.whl
- fabio‑0.5.0‑cp27‑cp27m‑win_amd64.whl
- fabio‑0.5.0‑cp34‑cp34m‑win32.whl
- fabio‑0.5.0‑cp34‑cp34m‑win_amd64.whl
- fabio‑0.5.0‑cp35‑cp35m‑win32.whl
- fabio‑0.5.0‑cp35‑cp35m‑win_amd64.whl
- fabio‑0.5.0‑cp36‑cp36m‑win32.whl
- fabio‑0.5.0‑cp36‑cp36m‑win_amd64.whl
- Fann2 bindings forFast
Artificial Neural Networks Library.- fann2‑1.0.7‑cp27‑cp27m‑win32.whl
- fann2‑1.0.7‑cp27‑cp27m‑win_amd64.whl
- fann2‑1.0.7‑cp34‑cp34m‑win32.whl
- fann2‑1.0.7‑cp34‑cp34m‑win_amd64.whl
- fann2‑1.0.7‑cp35‑cp35m‑win32.whl
- fann2‑1.0.7‑cp35‑cp35m‑win_amd64.whl
- fann2‑1.0.7‑cp36‑cp36m‑win32.whl
- fann2‑1.0.7‑cp36‑cp36m‑win_amd64.whl
- Fastcache, a C implementation of the Python
3 lru_cache.- fastcache‑1.0.2‑cp27‑cp27m‑win32.whl
- fastcache‑1.0.2‑cp27‑cp27m‑win_amd64.whl
- fastcache‑1.0.2‑cp34‑cp34m‑win32.whl
- fastcache‑1.0.2‑cp34‑cp34m‑win_amd64.whl
- fastcache‑1.0.2‑cp35‑cp35m‑win32.whl
- fastcache‑1.0.2‑cp35‑cp35m‑win_amd64.whl
- fastcache‑1.0.2‑cp36‑cp36m‑win32.whl
- fastcache‑1.0.2‑cp36‑cp36m‑win_amd64.whl
- Fastcluster provides fast hierarchical
clustering routines.- fastcluster‑1.1.24‑cp27‑cp27m‑win32.whl
- fastcluster‑1.1.24‑cp27‑cp27m‑win_amd64.whl
- fastcluster‑1.1.24‑cp34‑cp34m‑win32.whl
- fastcluster‑1.1.24‑cp34‑cp34m‑win_amd64.whl
- fastcluster‑1.1.24‑cp35‑cp35m‑win32.whl
- fastcluster‑1.1.24‑cp35‑cp35m‑win_amd64.whl
- fastcluster‑1.1.24‑cp36‑cp36m‑win32.whl
- fastcluster‑1.1.24‑cp36‑cp36m‑win_amd64.whl
- Fastparquet, a implementation of theparquet
columnar file format.- fastparquet‑0.1.2‑cp27‑cp27m‑win32.whl
- fastparquet‑0.1.2‑cp27‑cp27m‑win_amd64.whl
- fastparquet‑0.1.2‑cp34‑cp34m‑win32.whl
- fastparquet‑0.1.2‑cp34‑cp34m‑win_amd64.whl
- fastparquet‑0.1.2‑cp35‑cp35m‑win32.whl
- fastparquet‑0.1.2‑cp35‑cp35m‑win_amd64.whl
- fastparquet‑0.1.2‑cp36‑cp36m‑win32.whl
- fastparquet‑0.1.2‑cp36‑cp36m‑win_amd64.whl
- Fasttext, a interface for FacebookfastText.
- fasttext‑0.8.3‑cp35‑cp35m‑win32.whl
- fasttext‑0.8.3‑cp35‑cp35m‑win_amd64.whl
- fasttext‑0.8.3‑cp36‑cp36m‑win32.whl
- fasttext‑0.8.3‑cp36‑cp36m‑win_amd64.whl
- Faulthandler displays the Python traceback
on a crash. - Fdint, Fermi-Dirac integrals of integer and
half integer order.- fdint‑2.0.2‑cp27‑cp27m‑win32.whl
- fdint‑2.0.2‑cp27‑cp27m‑win_amd64.whl
- fdint‑2.0.2‑cp34‑cp34m‑win32.whl
- fdint‑2.0.2‑cp34‑cp34m‑win_amd64.whl
- fdint‑2.0.2‑cp35‑cp35m‑win32.whl
- fdint‑2.0.2‑cp35‑cp35m‑win_amd64.whl
- fdint‑2.0.2‑cp36‑cp36m‑win32.whl
- fdint‑2.0.2‑cp36‑cp36m‑win_amd64.whl
- Ffnet, a feed-forward neural network.
- ffnet‑0.8.3‑cp27‑cp27m‑win32.whl
- ffnet‑0.8.3‑cp27‑cp27m‑win_amd64.whl
- ffnet‑0.8.3‑cp34‑cp34m‑win32.whl
- ffnet‑0.8.3‑cp34‑cp34m‑win_amd64.whl
- ffnet‑0.8.3‑cp35‑cp35m‑win32.whl
- ffnet‑0.8.3‑cp35‑cp35m‑win_amd64.whl
- ffnet‑0.8.3‑cp36‑cp36m‑win32.whl
- ffnet‑0.8.3‑cp36‑cp36m‑win_amd64.whl
- Fiona, OGR’s neater API.
Requires gdal.- Fiona‑1.7.9‑cp27‑cp27m‑win32.whl
- Fiona‑1.7.9‑cp27‑cp27m‑win_amd64.whl
- Fiona‑1.7.9‑cp34‑cp34m‑win32.whl
- Fiona‑1.7.9‑cp34‑cp34m‑win_amd64.whl
- Fiona‑1.7.9‑cp35‑cp35m‑win32.whl
- Fiona‑1.7.9‑cp35‑cp35m‑win_amd64.whl
- Fiona‑1.7.9‑cp36‑cp36m‑win32.whl
- Fiona‑1.7.9‑cp36‑cp36m‑win_amd64.whl
- Fisher, implementsFisher’s
exact test.- fisher‑0.1.5‑cp27‑cp27m‑win32.whl
- fisher‑0.1.5‑cp27‑cp27m‑win_amd64.whl
- fisher‑0.1.5‑cp34‑cp34m‑win32.whl
- fisher‑0.1.5‑cp34‑cp34m‑win_amd64.whl
- fisher‑0.1.5‑cp35‑cp35m‑win32.whl
- fisher‑0.1.5‑cp35‑cp35m‑win_amd64.whl
- fisher‑0.1.5‑cp36‑cp36m‑win32.whl
- fisher‑0.1.5‑cp36‑cp36m‑win_amd64.whl
- Fisx, an enhanced C++ port of the Physics routines
used byPyMca.- fisx‑1.1.4‑cp27‑cp27m‑win32.whl
- fisx‑1.1.4‑cp27‑cp27m‑win_amd64.whl
- fisx‑1.1.4‑cp34‑cp34m‑win32.whl
- fisx‑1.1.4‑cp34‑cp34m‑win_amd64.whl
- fisx‑1.1.4‑cp35‑cp35m‑win32.whl
- fisx‑1.1.4‑cp35‑cp35m‑win_amd64.whl
- fisx‑1.1.4‑cp36‑cp36m‑win32.whl
- fisx‑1.1.4‑cp36‑cp36m‑win_amd64.whl
- FLANN, a library for performing fast approximate
nearest neighbor searches in high dimensional spaces.- flann‑1.9.1‑cp27‑cp27m‑win32.whl
- flann‑1.9.1‑cp27‑cp27m‑win_amd64.whl
- flann‑1.9.1‑cp34‑cp34m‑win32.whl
- flann‑1.9.1‑cp34‑cp34m‑win_amd64.whl
- flann‑1.9.1‑cp35‑cp35m‑win32.whl
- flann‑1.9.1‑cp35‑cp35m‑win_amd64.whl
- flann‑1.9.1‑cp36‑cp36m‑win32.whl
- flann‑1.9.1‑cp36‑cp36m‑win_amd64.whl
- FreeImageDLL, installs theFreeImage DLL
to sys.prefix.- freeimagedll‑3.17.0‑cp27‑cp27m‑win32.whl
- freeimagedll‑3.17.0‑cp27‑cp27m‑win_amd64.whl
- freeimagedll‑3.17.0‑cp34‑cp34m‑win32.whl
- freeimagedll‑3.17.0‑cp34‑cp34m‑win_amd64.whl
- freeimagedll‑3.17.0‑cp35‑cp35m‑win32.whl
- freeimagedll‑3.17.0‑cp35‑cp35m‑win_amd64.whl
- freeimagedll‑3.17.0‑cp36‑cp36m‑win32.whl
- freeimagedll‑3.17.0‑cp36‑cp36m‑win_amd64.whl
- Friture, a program designed to analyze audio input in real-time.
Requires numpy, pyaudio, pyqt4, pyqwt,
and pyopengl.- friture‑0.14‑cp27‑none‑win32.whl
- friture‑0.14‑cp27‑none‑win_amd64.whl
- friture‑0.19‑cp27‑cp27m‑win32.whl
- friture‑0.19‑cp27‑cp27m‑win_amd64.whl
- GDAL (Geospatial Data Abstraction Library), a translator
library for raster geospatial data formats.
This distribution includes a complete GDAL installation. Do not use together with OSGeo4W or gdalwin32.
Built with KML, HDF5, NetCDF, SpatiaLite, PostGIS, GEOS, PROJ.4 etc.
The FileGDB plugin requires Esri’s FileGDB API 1.3 or FileGDB
1.5 VS2015 or VS2010.
Requires VCredist SP1 on Python 2.7.- GDAL‑1.11.4‑cp27‑none‑win_amd64.whl
- GDAL‑2.2.2‑cp27‑cp27m‑win32.whl
- GDAL‑2.2.2‑cp27‑cp27m‑win_amd64.whl
- GDAL‑2.2.2‑cp34‑cp34m‑win32.whl
- GDAL‑2.2.2‑cp34‑cp34m‑win_amd64.whl
- GDAL‑2.2.2‑cp35‑cp35m‑win32.whl
- GDAL‑2.2.2‑cp35‑cp35m‑win_amd64.whl
- GDAL‑2.2.2‑cp36‑cp36m‑win32.whl
- GDAL‑2.2.2‑cp36‑cp36m‑win_amd64.whl
- Genshi, a toolkit for generation of output for
the web.- Genshi‑0.7‑cp27‑none‑win32.whl
- Genshi‑0.7‑cp27‑none‑win_amd64.whl
- Genshi‑0.8.dev0‑cp27‑none‑win32.whl
- Genshi‑0.8.dev0‑cp27‑none‑win_amd64.whl
- Genshi‑0.8.dev0‑py3‑none‑any.whl
- Gensim, a framework for fast Vector
Space Modelling.- gensim‑3.0.0‑cp27‑cp27m‑win32.whl
- gensim‑3.0.0‑cp27‑cp27m‑win_amd64.whl
- gensim‑3.0.0‑cp34‑cp34m‑win32.whl
- gensim‑3.0.0‑cp34‑cp34m‑win_amd64.whl
- gensim‑3.0.0‑cp35‑cp35m‑win32.whl
- gensim‑3.0.0‑cp35‑cp35m‑win_amd64.whl
- gensim‑3.0.0‑cp36‑cp36m‑win32.whl
- gensim‑3.0.0‑cp36‑cp36m‑win_amd64.whl
- gensim‑3.0.1‑cp27‑cp27m‑win32.whl
- gensim‑3.0.1‑cp27‑cp27m‑win_amd64.whl
- gensim‑3.0.1‑cp34‑cp34m‑win32.whl
- gensim‑3.0.1‑cp34‑cp34m‑win_amd64.whl
- gensim‑3.0.1‑cp35‑cp35m‑win32.whl
- gensim‑3.0.1‑cp35‑cp35m‑win_amd64.whl
- gensim‑3.0.1‑cp36‑cp36m‑win32.whl
- gensim‑3.0.1‑cp36‑cp36m‑win_amd64.whl
- Gevent, a coroutine-based networking library based
on greenlet and libev.
Requires greenlet.- gevent‑1.2.2‑cp27‑cp27m‑win32.whl
- gevent‑1.2.2‑cp27‑cp27m‑win_amd64.whl
- gevent‑1.2.2‑cp34‑cp34m‑win32.whl
- gevent‑1.2.2‑cp34‑cp34m‑win_amd64.whl
- gevent‑1.2.2‑cp35‑cp35m‑win32.whl
- gevent‑1.2.2‑cp35‑cp35m‑win_amd64.whl
- gevent‑1.2.2‑cp36‑cp36m‑win32.whl
- gevent‑1.2.2‑cp36‑cp36m‑win_amd64.whl
- Glumpy, a natural interface between numpy and
modern OpenGL.
Requires numpy, triangle and pyopengl. - GMPY supports fast multiple-precision arithmetic.
Wraps the MPIR,MPFR, andMPC libraries.- gmpy‑1.17‑cp27‑none‑win32.whl
- gmpy‑1.17‑cp27‑none‑win_amd64.whl
- gmpy‑1.17‑cp34‑none‑win32.whl
- gmpy‑1.17‑cp34‑none‑win_amd64.whl
- gmpy2‑2.0.8‑cp27‑cp27m‑win32.whl
- gmpy2‑2.0.8‑cp27‑cp27m‑win_amd64.whl
- gmpy2‑2.0.8‑cp34‑cp34m‑win32.whl
- gmpy2‑2.0.8‑cp34‑cp34m‑win_amd64.whl
- gmpy2‑2.0.8‑cp35‑cp35m‑win32.whl
- gmpy2‑2.0.8‑cp35‑cp35m‑win_amd64.whl
- gmpy2‑2.0.8‑cp36‑cp36m‑win32.whl
- gmpy2‑2.0.8‑cp36‑cp36m‑win_amd64.whl
- GPy, a Gaussian processes framework.
- GPy‑1.8.4‑cp27‑cp27m‑win32.whl
- GPy‑1.8.4‑cp27‑cp27m‑win_amd64.whl
- GPy‑1.8.4‑cp34‑cp34m‑win32.whl
- GPy‑1.8.4‑cp34‑cp34m‑win_amd64.whl
- GPy‑1.8.4‑cp35‑cp35m‑win32.whl
- GPy‑1.8.4‑cp35‑cp35m‑win_amd64.whl
- GPy‑1.8.4‑cp36‑cp36m‑win32.whl
- GPy‑1.8.4‑cp36‑cp36m‑win_amd64.whl
- GR, a universal framework for cross-platform visualization
applications.- gr‑0.26.0‑cp27‑cp27m‑win32.whl
- gr‑0.26.0‑cp27‑cp27m‑win_amd64.whl
- gr‑0.26.0‑cp34‑cp34m‑win32.whl
- gr‑0.26.0‑cp34‑cp34m‑win_amd64.whl
- gr‑0.26.0‑cp35‑cp35m‑win32.whl
- gr‑0.26.0‑cp35‑cp35m‑win_amd64.whl
- gr‑0.26.0‑cp36‑cp36m‑win32.whl
- gr‑0.26.0‑cp36‑cp36m‑win_amd64.whl
- Grako, a generator of PEG/Packrat parsers from
EBNF grammars.
Superseded by TatSu.- grako‑3.99.9‑cp27‑cp27m‑win32.whl
- grako‑3.99.9‑cp27‑cp27m‑win_amd64.whl
- grako‑3.99.9‑cp34‑cp34m‑win32.whl
- grako‑3.99.9‑cp34‑cp34m‑win_amd64.whl
- grako‑3.99.9‑cp35‑cp35m‑win32.whl
- grako‑3.99.9‑cp35‑cp35m‑win_amd64.whl
- grako‑3.99.9‑cp36‑cp36m‑win32.whl
- grako‑3.99.9‑cp36‑cp36m‑win_amd64.whl
- Greenlet allows lightweight in-process
concurrent programming.- greenlet‑0.4.12‑cp27‑cp27m‑win32.whl
- greenlet‑0.4.12‑cp27‑cp27m‑win_amd64.whl
- greenlet‑0.4.12‑cp34‑cp34m‑win32.whl
- greenlet‑0.4.12‑cp34‑cp34m‑win_amd64.whl
- greenlet‑0.4.12‑cp35‑cp35m‑win32.whl
- greenlet‑0.4.12‑cp35‑cp35m‑win_amd64.whl
- greenlet‑0.4.12‑cp36‑cp36m‑win32.whl
- greenlet‑0.4.12‑cp36‑cp36m‑win_amd64.whl
- GuiQwt, an efficient 2D plotting library.
GuiQwt 2.x requires pyqwt and guidata 1.6.
GuiQwt 3.x requires pythonqwt and guidata 1.7.- guidata‑1.6.2‑py2.py3‑none‑any.whl
- guidata‑1.7.6‑py2.py3‑none‑any.whl
- guiqwt‑2.3.2‑cp27‑cp27m‑win32.whl
- guiqwt‑2.3.2‑cp27‑cp27m‑win_amd64.whl
- guiqwt‑2.3.2‑cp34‑cp34m‑win32.whl
- guiqwt‑2.3.2‑cp34‑cp34m‑win_amd64.whl
- guiqwt‑2.3.2‑cp35‑cp35m‑win32.whl
- guiqwt‑2.3.2‑cp35‑cp35m‑win_amd64.whl
- guiqwt‑2.3.2‑cp36‑cp36m‑win32.whl
- guiqwt‑2.3.2‑cp36‑cp36m‑win_amd64.whl
- guiqwt‑3.0.3‑cp27‑cp27m‑win32.whl
- guiqwt‑3.0.3‑cp27‑cp27m‑win_amd64.whl
- guiqwt‑3.0.3‑cp34‑cp34m‑win32.whl
- guiqwt‑3.0.3‑cp34‑cp34m‑win_amd64.whl
- guiqwt‑3.0.3‑cp35‑cp35m‑win32.whl
- guiqwt‑3.0.3‑cp35‑cp35m‑win_amd64.whl
- guiqwt‑3.0.3‑cp36‑cp36m‑win32.whl
- guiqwt‑3.0.3‑cp36‑cp36m‑win_amd64.whl
- Gvar, utilities for manipulating correlated Gaussian
random variables.- gvar‑8.3.3‑cp27‑cp27m‑win32.whl
- gvar‑8.3.3‑cp27‑cp27m‑win_amd64.whl
- gvar‑8.3.3‑cp34‑cp34m‑win32.whl
- gvar‑8.3.3‑cp34‑cp34m‑win_amd64.whl
- gvar‑8.3.3‑cp35‑cp35m‑win32.whl
- gvar‑8.3.3‑cp35‑cp35m‑win_amd64.whl
- gvar‑8.3.3‑cp36‑cp36m‑win32.whl
- gvar‑8.3.3‑cp36‑cp36m‑win_amd64.whl
- H5py, a general-purpose interface to theHDF5 library.
- h5py‑2.7.1‑cp27‑cp27m‑win32.whl
- h5py‑2.7.1‑cp27‑cp27m‑win_amd64.whl
- h5py‑2.7.1‑cp34‑cp34m‑win32.whl
- h5py‑2.7.1‑cp34‑cp34m‑win_amd64.whl
- h5py‑2.7.1‑cp35‑cp35m‑win32.whl
- h5py‑2.7.1‑cp35‑cp35m‑win_amd64.whl
- h5py‑2.7.1‑cp36‑cp36m‑win32.whl
- h5py‑2.7.1‑cp36‑cp36m‑win_amd64.whl
- HDDM implements Hierarchical Bayesian estimation
of Drift Diffusion Models.- HDDM‑0.6.1‑cp27‑cp27m‑win32.whl
- HDDM‑0.6.1‑cp27‑cp27m‑win_amd64.whl
- HDDM‑0.6.1‑cp34‑cp34m‑win32.whl
- HDDM‑0.6.1‑cp34‑cp34m‑win_amd64.whl
- HDDM‑0.6.1‑cp35‑cp35m‑win32.whl
- HDDM‑0.6.1‑cp35‑cp35m‑win_amd64.whl
- HDDM‑0.6.1‑cp36‑cp36m‑win32.whl
- HDDM‑0.6.1‑cp36‑cp36m‑win_amd64.whl
- Heatmap, create heatmaps.
- heatmap‑2.2.1‑cp27‑cp27m‑win32.whl
- heatmap‑2.2.1‑cp27‑cp27m‑win_amd64.whl
- heatmap‑2.2.1‑cp34‑cp34m‑win32.whl
- heatmap‑2.2.1‑cp34‑cp34m‑win_amd64.whl
- heatmap‑2.2.1‑cp35‑cp35m‑win32.whl
- heatmap‑2.2.1‑cp35‑cp35m‑win_amd64.whl
- heatmap‑2.2.1‑cp36‑cp36m‑win32.whl
- heatmap‑2.2.1‑cp36‑cp36m‑win_amd64.whl
- Hmmlearn, aglorithms and models to learn
HMMs (hidden markov models).- hmmlearn‑0.2.1‑cp27‑cp27m‑win32.whl
- hmmlearn‑0.2.1‑cp27‑cp27m‑win_amd64.whl
- hmmlearn‑0.2.1‑cp34‑cp34m‑win32.whl
- hmmlearn‑0.2.1‑cp34‑cp34m‑win_amd64.whl
- hmmlearn‑0.2.1‑cp35‑cp35m‑win32.whl
- hmmlearn‑0.2.1‑cp35‑cp35m‑win_amd64.whl
- hmmlearn‑0.2.1‑cp36‑cp36m‑win32.whl
- hmmlearn‑0.2.1‑cp36‑cp36m‑win_amd64.whl
- HoloPy, a tool for working with digital
holograms and light scattering.- HoloPy‑2.0.0‑cp27‑none‑win32.whl
- HoloPy‑2.0.0‑cp27‑none‑win_amd64.whl
- HoloPy‑2.0.0‑cp34‑cp34m‑win32.whl
- HoloPy‑2.0.0‑cp34‑cp34m‑win_amd64.whl
- HoloPy‑2.0.0‑cp35‑cp35m‑win32.whl
- HoloPy‑2.0.0‑cp35‑cp35m‑win_amd64.whl
- HoloPy‑2.0.0‑cp36‑cp36m‑win32.whl
- HoloPy‑2.0.0‑cp36‑cp36m‑win_amd64.whl
- HTSeq provides infrastructure to process
data from high-throughput sequencing assays. - HyperSpy, multidimensional data analysis.
- hyperspy‑0.8.3‑py2‑none‑any.whl
- hyperspy‑1.3‑cp34‑cp34m‑win32.whl
- hyperspy‑1.3‑cp34‑cp34m‑win_amd64.whl
- hyperspy‑1.3‑cp35‑cp35m‑win32.whl
- hyperspy‑1.3‑cp35‑cp35m‑win_amd64.whl
- hyperspy‑1.3‑cp36‑cp36m‑win32.whl
- hyperspy‑1.3‑cp36‑cp36m‑win_amd64.whl
- Ilastik, an interactive learning and segmentation toolkit.
- ImageD11, a software package for the analysis
of 2D diffraction images.- ImageD11‑1.7.0‑cp27‑cp27m‑win32.whl
- ImageD11‑1.7.0‑cp27‑cp27m‑win_amd64.whl
- xfab‑0.0.2‑py2‑none‑any.whl
- Iminuit, an interactive mimizer based onMINUIT.
- iminuit‑1.2‑cp27‑cp27m‑win32.whl
- iminuit‑1.2‑cp27‑cp27m‑win_amd64.whl
- iminuit‑1.2‑cp34‑cp34m‑win32.whl
- iminuit‑1.2‑cp34‑cp34m‑win_amd64.whl
- iminuit‑1.2‑cp35‑cp35m‑win32.whl
- iminuit‑1.2‑cp35‑cp35m‑win_amd64.whl
- iminuit‑1.2‑cp36‑cp36m‑win32.whl
- iminuit‑1.2‑cp36‑cp36m‑win_amd64.whl
- Imread reads images into numpy arrays.
- imread‑0.6‑cp27‑cp27m‑win32.whl
- imread‑0.6‑cp27‑cp27m‑win_amd64.whl
- imread‑0.6‑cp34‑cp34m‑win32.whl
- imread‑0.6‑cp34‑cp34m‑win_amd64.whl
- imread‑0.6‑cp35‑cp35m‑win32.whl
- imread‑0.6‑cp35‑cp35m‑win_amd64.whl
- imread‑0.6‑cp36‑cp36m‑win32.whl
- imread‑0.6‑cp36‑cp36m‑win_amd64.whl
- Indexed_gzip, fast random access
of gzip files.- indexed_gzip‑0.6.1‑cp27‑cp27m‑win32.whl
- indexed_gzip‑0.6.1‑cp27‑cp27m‑win_amd64.whl
- indexed_gzip‑0.6.1‑cp34‑cp34m‑win32.whl
- indexed_gzip‑0.6.1‑cp34‑cp34m‑win_amd64.whl
- indexed_gzip‑0.6.1‑cp35‑cp35m‑win32.whl
- indexed_gzip‑0.6.1‑cp35‑cp35m‑win_amd64.whl
- indexed_gzip‑0.6.1‑cp36‑cp36m‑win32.whl
- indexed_gzip‑0.6.1‑cp36‑cp36m‑win_amd64.whl
- Intbitset provides an intbitset
data object.- intbitset‑2.3.0‑cp27‑cp27m‑win32.whl
- intbitset‑2.3.0‑cp27‑cp27m‑win_amd64.whl
- intbitset‑2.3.0‑cp34‑cp34m‑win32.whl
- intbitset‑2.3.0‑cp34‑cp34m‑win_amd64.whl
- intbitset‑2.3.0‑cp35‑cp35m‑win32.whl
- intbitset‑2.3.0‑cp35‑cp35m‑win_amd64.whl
- intbitset‑2.3.0‑cp36‑cp36m‑win32.whl
- intbitset‑2.3.0‑cp36‑cp36m‑win_amd64.whl
- IOCBio, open-source software from theLaboratory
of Systems Biology.
Requires numpy+mkl. - Iris, a library for analysing and visualising meteorological
and oceanographic data sets
Requires scipy, netcdf4-python, cartopy,shapely,udunits2 andother
dependencies.- cf_units‑1.1.3‑py2.py3‑none‑any.whl
- emcee‑2.2.1‑py2.py3‑none‑any.whl
- Iris‑1.13.0‑py2‑none‑any.whl
- Iris‑1.13.0‑py3‑none‑any.whl
- nc_time_axis‑1.0.1‑py2.py3‑none‑any.whl
- pyke‑1.1.1‑py2‑none‑any.whl
- pyke‑1.1.1‑py3‑none‑any.whl
- Javabridge, a wrapper for
the Java Native Interface.- javabridge‑1.0.15‑cp27‑cp27m‑win32.whl
- javabridge‑1.0.15‑cp27‑cp27m‑win_amd64.whl
- javabridge‑1.0.15‑cp34‑cp34m‑win32.whl
- javabridge‑1.0.15‑cp34‑cp34m‑win_amd64.whl
- javabridge‑1.0.15‑cp35‑cp35m‑win32.whl
- javabridge‑1.0.15‑cp35‑cp35m‑win_amd64.whl
- javabridge‑1.0.15‑cp36‑cp36m‑win32.whl
- javabridge‑1.0.15‑cp36‑cp36m‑win_amd64.whl
- JCC, a C++ code generator that produces a C++
object interface wrapping a Java library via Java’s Native Interface (JNI).
Users must adjust “jcc\config.py” for the target system.- JCC‑2.23‑cp27‑cp27m‑win32.whl
- JCC‑2.23‑cp27‑cp27m‑win_amd64.whl
- JCC‑3.0‑cp27‑cp27m‑win32.whl
- JCC‑3.0‑cp27‑cp27m‑win_amd64.whl
- JCC‑3.0‑cp34‑cp34m‑win32.whl
- JCC‑3.0‑cp34‑cp34m‑win_amd64.whl
- JCC‑3.0‑cp35‑cp35m‑win32.whl
- JCC‑3.0‑cp35‑cp35m‑win_amd64.whl
- JCC‑3.0‑cp36‑cp36m‑win32.whl
- JCC‑3.0‑cp36‑cp36m‑win_amd64.whl
- JPype allows full access to Java class libraries.
- JPype1‑0.6.2‑cp27‑cp27m‑win32.whl
- JPype1‑0.6.2‑cp27‑cp27m‑win_amd64.whl
- JPype1‑0.6.2‑cp34‑cp34m‑win32.whl
- JPype1‑0.6.2‑cp34‑cp34m‑win_amd64.whl
- JPype1‑0.6.2‑cp35‑cp35m‑win32.whl
- JPype1‑0.6.2‑cp35‑cp35m‑win_amd64.whl
- JPype1‑0.6.2‑cp36‑cp36m‑win32.whl
- JPype1‑0.6.2‑cp36‑cp36m‑win_amd64.whl
- Jsonlib, aJSON serializer/deserializer.
- jsonlib‑1.6.1‑cp27‑cp27m‑win32.whl
- jsonlib‑1.6.1‑cp27‑cp27m‑win_amd64.whl
- jsonlib_python3‑1.6.1‑cp34‑cp34m‑win32.whl
- jsonlib_python3‑1.6.1‑cp34‑cp34m‑win_amd64.whl
- jsonlib_python3‑1.6.1‑cp35‑cp35m‑win32.whl
- jsonlib_python3‑1.6.1‑cp35‑cp35m‑win_amd64.whl
- jsonlib_python3‑1.6.1‑cp36‑cp36m‑win32.whl
- jsonlib_python3‑1.6.1‑cp36‑cp36m‑win_amd64.whl
- Jupyter, an
interactive computing environment.
Some functions require setuptools,pyzmq,tornado,pygments, markupsafe,jinja2, mistune, rpy2, pycairo, matplotlib,pyqt4 orpyside,
pandoc, and whatnot.- ipykernel‑4.6.1‑py2.py3‑none‑any.whl
- ipyparallel‑6.0.2‑py2.py3‑none‑any.whl
- ipython‑5.4.1‑py2‑none‑any.whl
- ipython‑6.2.1‑py3‑none‑any.whl
- ipython_genutils‑0.2.0‑py2.py3‑none‑any.whl
- ipywidgets‑6.0.1‑py2.py3‑none‑any.whl
- ipywidgets‑7.0.1‑py2.py3‑none‑any.whl
- jupyter‑1.0.0‑py2.py3‑none‑any.whl
- jupyter_client‑5.1.0‑py2.py3‑none‑any.whl
- jupyter_console‑5.2.0‑py2.py3‑none‑any.whl
- jupyter_core‑4.3.0‑py2.py3‑none‑any.whl
- jupyterlab‑0.27.0‑py2.py3‑none‑any.whl
- jupyterlab‑0.28.2‑py2.py3‑none‑any.whl
- jupyterlab_launcher‑0.5.2‑py2.py3‑none‑any.whl
- jupyterlab_launcher‑0.5.3‑py2.py3‑none‑any.whl
- jupyterlab_launcher‑0.5.4‑py2.py3‑none‑any.whl
- nbconvert‑5.3.1‑py2.py3‑none‑any.whl
- nbformat‑4.4.0‑py2.py3‑none‑any.whl
- notebook‑5.2.0‑py2.py3‑none‑any.whl
- qtconsole‑4.3.1‑py2.py3‑none‑any.whl
- traitlets‑4.3.2‑py2.py3‑none‑any.whl
- widgetsnbextension‑2.0.1‑py2.py3‑none‑any.whl
- widgetsnbextension‑3.0.2‑py2.py3‑none‑any.whl
- widgetsnbextension‑3.0.3‑py2.py3‑none‑any.whl
- Kivy, a library for developing multi-touch applications.
- Kivy‑1.10.0‑cp27‑cp27m‑win32.whl
- Kivy‑1.10.0‑cp27‑cp27m‑win_amd64.whl
- Kivy‑1.10.0‑cp34‑cp34m‑win32.whl
- Kivy‑1.10.0‑cp34‑cp34m‑win_amd64.whl
- Kivy‑1.10.0‑cp35‑cp35m‑win32.whl
- Kivy‑1.10.0‑cp35‑cp35m‑win_amd64.whl
- Kivy‑1.10.0‑cp36‑cp36m‑win32.whl
- Kivy‑1.10.0‑cp36‑cp36m‑win_amd64.whl
- Kiwisolver, an efficient implementation of
theCassowary constraint solving algorithm.- kiwisolver‑1.0.0‑cp27‑cp27m‑win32.whl
- kiwisolver‑1.0.0‑cp27‑cp27m‑win_amd64.whl
- kiwisolver‑1.0.0‑cp34‑cp34m‑win32.whl
- kiwisolver‑1.0.0‑cp34‑cp34m‑win_amd64.whl
- kiwisolver‑1.0.0‑cp35‑cp35m‑win32.whl
- kiwisolver‑1.0.0‑cp35‑cp35m‑win_amd64.whl
- kiwisolver‑1.0.0‑cp36‑cp36m‑win32.whl
- kiwisolver‑1.0.0‑cp36‑cp36m‑win_amd64.whl
- Kwant, quantum transport simulations made easy.
Requires numpy+mkl and tinyarray.- kwant‑1.0.5‑cp27‑none‑win32.whl
- kwant‑1.0.5‑cp27‑none‑win_amd64.whl
- kwant‑1.1.3‑cp27‑cp27m‑win32.whl
- kwant‑1.1.3‑cp27‑cp27m‑win_amd64.whl
- kwant‑1.3.1‑cp34‑cp34m‑win32.whl
- kwant‑1.3.1‑cp34‑cp34m‑win_amd64.whl
- kwant‑1.3.1‑cp35‑cp35m‑win32.whl
- kwant‑1.3.1‑cp35‑cp35m‑win_amd64.whl
- kwant‑1.3.1‑cp36‑cp36m‑win32.whl
- kwant‑1.3.1‑cp36‑cp36m‑win_amd64.whl
- La aka larry, the labeled numpy array.
- la‑0.7.0.dev0‑cp27‑cp27m‑win32.whl
- la‑0.7.0.dev0‑cp27‑cp27m‑win_amd64.whl
- la‑0.7.0.dev0‑cp34‑cp34m‑win32.whl
- la‑0.7.0.dev0‑cp34‑cp34m‑win_amd64.whl
- la‑0.7.0.dev0‑cp35‑cp35m‑win32.whl
- la‑0.7.0.dev0‑cp35‑cp35m‑win_amd64.whl
- Lazy_object_proxy,
a fast and thorough lazy object proxy.- lazy_object_proxy‑1.3.1‑cp27‑cp27m‑win32.whl
- lazy_object_proxy‑1.3.1‑cp27‑cp27m‑win_amd64.whl
- lazy_object_proxy‑1.3.1‑cp34‑cp34m‑win32.whl
- lazy_object_proxy‑1.3.1‑cp34‑cp34m‑win_amd64.whl
- lazy_object_proxy‑1.3.1‑cp35‑cp35m‑win32.whl
- lazy_object_proxy‑1.3.1‑cp35‑cp35m‑win_amd64.whl
- lazy_object_proxy‑1.3.1‑cp36‑cp36m‑win32.whl
- lazy_object_proxy‑1.3.1‑cp36‑cp36m‑win_amd64.whl
- Lazyflow, graph based lazy numpy data flows.
- Lfdfiles, Rread Laboratory for Fluorescence
Dynamics (LFD) file formats.- lfdfiles‑2016.3.29‑cp27‑cp27m‑win32.whl
- lfdfiles‑2016.3.29‑cp27‑cp27m‑win_amd64.whl
- lfdfiles‑2016.3.29‑cp34‑cp34m‑win32.whl
- lfdfiles‑2016.3.29‑cp34‑cp34m‑win_amd64.whl
- lfdfiles‑2016.3.29‑cp35‑cp35m‑win32.whl
- lfdfiles‑2016.3.29‑cp35‑cp35m‑win_amd64.whl
- lfdfiles‑2016.3.29‑cp36‑cp36m‑win32.whl
- lfdfiles‑2016.3.29‑cp36‑cp36m‑win_amd64.whl
- LibLAS reads and writes the LiDAR (Light Detection
And Ranging) format.- libLAS‑1.8.1‑cp27‑cp27m‑win32.whl
- libLAS‑1.8.1‑cp27‑cp27m‑win_amd64.whl
- libLAS‑1.8.1‑cp34‑cp34m‑win32.whl
- libLAS‑1.8.1‑cp34‑cp34m‑win_amd64.whl
- libLAS‑1.8.1‑cp35‑cp35m‑win32.whl
- libLAS‑1.8.1‑cp35‑cp35m‑win_amd64.whl
- libLAS‑1.8.1‑cp36‑cp36m‑win32.whl
- libLAS‑1.8.1‑cp36‑cp36m‑win_amd64.whl
- LIBLINEAR, a library for large
linear classification.
Requires numpy+mkl.- liblinear‑2.11‑cp27‑cp27m‑win32.whl
- liblinear‑2.11‑cp27‑cp27m‑win_amd64.whl
- liblinear‑2.11‑cp34‑cp34m‑win32.whl
- liblinear‑2.11‑cp34‑cp34m‑win_amd64.whl
- liblinear‑2.11‑cp35‑cp35m‑win32.whl
- liblinear‑2.11‑cp35‑cp35m‑win_amd64.whl
- liblinear‑2.11‑cp36‑cp36m‑win32.whl
- liblinear‑2.11‑cp36‑cp36m‑win_amd64.whl
- Libpython installs the libpython??.a libraries to sys.prefix\libs.
For use with mingwpy.- libpython‑2.7.10‑cp27‑none‑win32.whl
- libpython‑2.7.10‑cp27‑none‑win_amd64.whl
- libpython‑3.4.3‑cp34‑none‑win32.whl
- libpython‑3.4.3‑cp34‑none‑win_amd64.whl
- libSBML reads, writes, manipulates, translates,
and validates SBML (Systems Biology Markup Language) files and data streams.- python_libsbml‑5.13.0‑cp27‑cp27m‑win32.whl
- python_libsbml‑5.13.0‑cp27‑cp27m‑win_amd64.whl
- python_libsbml‑5.13.0‑cp34‑cp34m‑win32.whl
- python_libsbml‑5.13.0‑cp34‑cp34m‑win_amd64.whl
- python_libsbml‑5.13.0‑cp35‑cp35m‑win32.whl
- python_libsbml‑5.13.0‑cp35‑cp35m‑win_amd64.whl
- python_libsbml‑5.13.0‑cp36‑cp36m‑win32.whl
- python_libsbml‑5.13.0‑cp36‑cp36m‑win_amd64.whl
- LIBSVM, a library for Support Vector
Machines.- libsvm‑3.22‑cp27‑cp27m‑win32.whl
- libsvm‑3.22‑cp27‑cp27m‑win_amd64.whl
- libsvm‑3.22‑cp34‑cp34m‑win32.whl
- libsvm‑3.22‑cp34‑cp34m‑win_amd64.whl
- libsvm‑3.22‑cp35‑cp35m‑win32.whl
- libsvm‑3.22‑cp35‑cp35m‑win_amd64.whl
- libsvm‑3.22‑cp36‑cp36m‑win32.whl
- libsvm‑3.22‑cp36‑cp36m‑win_amd64.whl
- Libtfr (experimental non-MKL icl build) calculates
multi-taper windowed and time-frequency reassignment spectrograms.
Requires numpy+mkl.- libtfr‑1.0.6‑cp27‑cp27m‑win32.whl
- libtfr‑1.0.6‑cp27‑cp27m‑win_amd64.whl
- libtfr‑2.0.1‑cp27‑cp27m‑win32.whl
- libtfr‑2.0.1‑cp27‑cp27m‑win_amd64.whl
- libtfr‑2.0.1‑cp34‑cp34m‑win32.whl
- libtfr‑2.0.1‑cp34‑cp34m‑win_amd64.whl
- Libxml-python are bindings for thelibxml2 and libxslt libraries.
- Lightning, large-scale linear
classification, regression and ranking.- sklearn_contrib_lightning‑0.4.0‑cp27‑cp27m‑win32.whl
- sklearn_contrib_lightning‑0.4.0‑cp27‑cp27m‑win_amd64.whl
- sklearn_contrib_lightning‑0.4.0‑cp34‑cp34m‑win32.whl
- sklearn_contrib_lightning‑0.4.0‑cp34‑cp34m‑win_amd64.whl
- sklearn_contrib_lightning‑0.4.0‑cp35‑cp35m‑win32.whl
- sklearn_contrib_lightning‑0.4.0‑cp35‑cp35m‑win_amd64.whl
- sklearn_contrib_lightning‑0.4.0‑cp36‑cp36m‑win32.whl
- sklearn_contrib_lightning‑0.4.0‑cp36‑cp36m‑win_amd64.whl
- Line_profiler, a line-by-line profiler.
- line_profiler‑2.0‑cp27‑cp27m‑win32.whl
- line_profiler‑2.0‑cp27‑cp27m‑win_amd64.whl
- line_profiler‑2.0‑cp34‑cp34m‑win32.whl
- line_profiler‑2.0‑cp34‑cp34m‑win_amd64.whl
- line_profiler‑2.0‑cp35‑cp35m‑win32.whl
- line_profiler‑2.0‑cp35‑cp35m‑win_amd64.whl
- line_profiler‑2.0‑cp36‑cp36m‑win32.whl
- line_profiler‑2.0‑cp36‑cp36m‑win_amd64.whl
- Llist provides linked list data structures.
- llist‑0.4‑cp27‑cp27m‑win32.whl
- llist‑0.4‑cp27‑cp27m‑win_amd64.whl
- llist‑0.4‑cp34‑cp34m‑win32.whl
- llist‑0.4‑cp34‑cp34m‑win_amd64.whl
- llist‑0.4‑cp35‑cp35m‑win32.whl
- llist‑0.4‑cp35‑cp35m‑win_amd64.whl
- llist‑0.4‑cp36‑cp36m‑win32.whl
- llist‑0.4‑cp36‑cp36m‑win_amd64.whl
- Llvmlite, a lightweightLLVM binding
for writing JIT compilers.
Requires the Visual C++ Redistributable Packages for Visual Studio 2015.- llvmlite‑0.20.0‑cp27‑cp27m‑win32.whl
- llvmlite‑0.20.0‑cp27‑cp27m‑win_amd64.whl
- llvmlite‑0.20.0‑cp34‑cp34m‑win32.whl
- llvmlite‑0.20.0‑cp34‑cp34m‑win_amd64.whl
- llvmlite‑0.20.0‑cp35‑cp35m‑win32.whl
- llvmlite‑0.20.0‑cp35‑cp35m‑win_amd64.whl
- llvmlite‑0.20.0‑cp36‑cp36m‑win32.whl
- llvmlite‑0.20.0‑cp36‑cp36m‑win_amd64.whl
- LLVMPy, a wrapper around theLLVM compiler
library.- llvmpy‑0.12.7‑cp27‑none‑win32.whl
- llvmpy‑0.12.7‑cp27‑none‑win_amd64.whl
- llvmpy‑0.12.7‑cp34‑none‑win32.whl
- llvmpy‑0.12.7‑cp34‑none‑win_amd64.whl
- Logbook, a logging replacement.
- Logbook‑1.1.0‑cp27‑cp27m‑win32.whl
- Logbook‑1.1.0‑cp27‑cp27m‑win_amd64.whl
- Logbook‑1.1.0‑cp34‑cp34m‑win32.whl
- Logbook‑1.1.0‑cp34‑cp34m‑win_amd64.whl
- Logbook‑1.1.0‑cp35‑cp35m‑win32.whl
- Logbook‑1.1.0‑cp35‑cp35m‑win_amd64.whl
- Logbook‑1.1.0‑cp36‑cp36m‑win32.whl
- Logbook‑1.1.0‑cp36‑cp36m‑win_amd64.whl
- lp_solve, a Mixed Integer Linear Programming
(MILP) solver.- lpsolve55‑5.5.2.5‑cp27‑cp27m‑win32.whl
- lpsolve55‑5.5.2.5‑cp27‑cp27m‑win_amd64.whl
- lpsolve55‑5.5.2.5‑cp34‑cp34m‑win32.whl
- lpsolve55‑5.5.2.5‑cp34‑cp34m‑win_amd64.whl
- lpsolve55‑5.5.2.5‑cp35‑cp35m‑win32.whl
- lpsolve55‑5.5.2.5‑cp35‑cp35m‑win_amd64.whl
- lpsolve55‑5.5.2.5‑cp36‑cp36m‑win32.whl
- lpsolve55‑5.5.2.5‑cp36‑cp36m‑win_amd64.whl
- Lru_dict, a fast and memory efficient LRU
cache.- lru_dict‑1.1.6‑cp27‑cp27m‑win32.whl
- lru_dict‑1.1.6‑cp27‑cp27m‑win_amd64.whl
- lru_dict‑1.1.6‑cp34‑cp34m‑win32.whl
- lru_dict‑1.1.6‑cp34‑cp34m‑win_amd64.whl
- lru_dict‑1.1.6‑cp35‑cp35m‑win32.whl
- lru_dict‑1.1.6‑cp35‑cp35m‑win_amd64.whl
- lru_dict‑1.1.6‑cp36‑cp36m‑win32.whl
- lru_dict‑1.1.6‑cp36‑cp36m‑win_amd64.whl
- Lsqfit, utilities for nonlinear least-squares
fits.
Requires gvar.- lsqfit‑9.1.3‑cp27‑cp27m‑win32.whl
- lsqfit‑9.1.3‑cp27‑cp27m‑win_amd64.whl
- lsqfit‑9.1.3‑cp34‑cp34m‑win32.whl
- lsqfit‑9.1.3‑cp34‑cp34m‑win_amd64.whl
- lsqfit‑9.1.3‑cp35‑cp35m‑win32.whl
- lsqfit‑9.1.3‑cp35‑cp35m‑win_amd64.whl
- lsqfit‑9.1.3‑cp36‑cp36m‑win32.whl
- lsqfit‑9.1.3‑cp36‑cp36m‑win_amd64.whl
- Lxml, a binding for thelibxml2 andlibxslt libraries.
- lxml‑4.1.0‑cp27‑cp27m‑win32.whl
- lxml‑4.1.0‑cp27‑cp27m‑win_amd64.whl
- lxml‑4.1.0‑cp34‑cp34m‑win32.whl
- lxml‑4.1.0‑cp34‑cp34m‑win_amd64.whl
- lxml‑4.1.0‑cp35‑cp35m‑win32.whl
- lxml‑4.1.0‑cp35‑cp35m‑win_amd64.whl
- lxml‑4.1.0‑cp36‑cp36m‑win32.whl
- lxml‑4.1.0‑cp36‑cp36m‑win_amd64.whl
- Mahotas, a set of functions for image processing.
- mahotas‑1.4.3‑cp27‑cp27m‑win32.whl
- mahotas‑1.4.3‑cp27‑cp27m‑win_amd64.whl
- mahotas‑1.4.3‑cp34‑cp34m‑win32.whl
- mahotas‑1.4.3‑cp34‑cp34m‑win_amd64.whl
- mahotas‑1.4.3‑cp35‑cp35m‑win32.whl
- mahotas‑1.4.3‑cp35‑cp35m‑win_amd64.whl
- mahotas‑1.4.3‑cp36‑cp36m‑win32.whl
- mahotas‑1.4.3‑cp36‑cp36m‑win_amd64.whl
- Marisa-trie provides static memory-efficient
Trie-like structures.- marisa_trie‑0.7.4‑cp27‑cp27m‑win32.whl
- marisa_trie‑0.7.4‑cp27‑cp27m‑win_amd64.whl
- marisa_trie‑0.7.4‑cp34‑cp34m‑win32.whl
- marisa_trie‑0.7.4‑cp34‑cp34m‑win_amd64.whl
- marisa_trie‑0.7.4‑cp35‑cp35m‑win32.whl
- marisa_trie‑0.7.4‑cp35‑cp35m‑win_amd64.whl
- marisa_trie‑0.7.4‑cp36‑cp36m‑win32.whl
- marisa_trie‑0.7.4‑cp36‑cp36m‑win_amd64.whl
- MarkupSafe implements a XML/HTML/XHTML
Markup safe string.- MarkupSafe‑1.0‑cp27‑cp27m‑win32.whl
- MarkupSafe‑1.0‑cp27‑cp27m‑win_amd64.whl
- MarkupSafe‑1.0‑cp34‑cp34m‑win32.whl
- MarkupSafe‑1.0‑cp34‑cp34m‑win_amd64.whl
- MarkupSafe‑1.0‑cp35‑cp35m‑win32.whl
- MarkupSafe‑1.0‑cp35‑cp35m‑win_amd64.whl
- MarkupSafe‑1.0‑cp36‑cp36m‑win32.whl
- MarkupSafe‑1.0‑cp36‑cp36m‑win_amd64.whl
- Mathutils provide access to
matrices, Eulers, quaternions and vectors.- mathutils‑2.78‑cp35‑cp35m‑win32.whl
- mathutils‑2.78‑cp35‑cp35m‑win_amd64.whl
- mathutils‑2.78‑cp36‑cp36m‑win32.whl
- mathutils‑2.78‑cp36‑cp36m‑win_amd64.whl
- Matplotlib, a 2D plotting library.
Requires numpy, dateutil, pytz, pyparsing, cycler, setuptools,
and optionally pillow,pycairo,tornado,wxpython, pyside, pyqt4,
ghostscript, miktex, ffmpeg, mencoder, avconv, or imagemagick.- matplotlib‑2.1.0‑cp27‑cp27m‑win32.whl
- matplotlib‑2.1.0‑cp27‑cp27m‑win_amd64.whl
- matplotlib‑2.1.0‑cp34‑cp34m‑win32.whl
- matplotlib‑2.1.0‑cp34‑cp34m‑win_amd64.whl
- matplotlib‑2.1.0‑cp35‑cp35m‑win32.whl
- matplotlib‑2.1.0‑cp35‑cp35m‑win_amd64.whl
- matplotlib‑2.1.0‑cp36‑cp36m‑win32.whl
- matplotlib‑2.1.0‑cp36‑cp36m‑win_amd64.whl
- matplotlib‑2.1.0.chm
- matplotlib‑2.x‑windows‑link‑libraries.zip
- matplotlib_tests‑2.1.0‑py2.py3‑none‑any.whl
- Mayavi, 3D visualization of scientific data.
Part of the Enthought Tool Suite.
Requires VTK.- mayavi‑4.3.1+vtk510‑cp27‑none‑win32.whl
- mayavi‑4.3.1+vtk510‑cp27‑none‑win_amd64.whl
- mayavi‑4.5.0+vtk71‑cp27‑cp27m‑win32.whl
- mayavi‑4.5.0+vtk71‑cp27‑cp27m‑win_amd64.whl
- mayavi‑4.5.0+vtk71‑cp34‑cp34m‑win32.whl
- mayavi‑4.5.0+vtk71‑cp34‑cp34m‑win_amd64.whl
- mayavi‑4.5.0+vtk71‑cp35‑cp35m‑win32.whl
- mayavi‑4.5.0+vtk71‑cp35‑cp35m‑win_amd64.whl
- mayavi‑4.5.0+vtk71‑cp36‑cp36m‑win32.whl
- mayavi‑4.5.0+vtk71‑cp36‑cp36m‑win_amd64.whl
- Menpo, a framework for manipulating annotated data.
- menpo‑0.8.1‑cp27‑cp27m‑win32.whl
- menpo‑0.8.1‑cp27‑cp27m‑win_amd64.whl
- menpo‑0.8.1‑cp34‑cp34m‑win32.whl
- menpo‑0.8.1‑cp34‑cp34m‑win_amd64.whl
- menpo‑0.8.1‑cp35‑cp35m‑win32.whl
- menpo‑0.8.1‑cp35‑cp35m‑win_amd64.whl
- menpo‑0.8.1‑cp36‑cp36m‑win32.whl
- menpo‑0.8.1‑cp36‑cp36m‑win_amd64.whl
- Mercurial, a fast scalable distributed SCM (revision
control, version control) system. - MeshPy offers quality triangular and tetrahedral
mesh generation.- MeshPy‑2016.1.2‑cp27‑cp27m‑win32.whl
- MeshPy‑2016.1.2‑cp27‑cp27m‑win_amd64.whl
- MeshPy‑2016.1.2‑cp34‑cp34m‑win32.whl
- MeshPy‑2016.1.2‑cp34‑cp34m‑win_amd64.whl
- MeshPy‑2016.1.2‑cp35‑cp35m‑win32.whl
- MeshPy‑2016.1.2‑cp35‑cp35m‑win_amd64.whl
- MeshPy‑2016.1.2‑cp36‑cp36m‑win32.whl
- MeshPy‑2016.1.2‑cp36‑cp36m‑win_amd64.whl
- Milk, a machine learning toolkit.
- milk‑0.6.1‑cp27‑cp27m‑win32.whl
- milk‑0.6.1‑cp27‑cp27m‑win_amd64.whl
- milk‑0.6.1‑cp34‑cp34m‑win32.whl
- milk‑0.6.1‑cp34‑cp34m‑win_amd64.whl
- milk‑0.6.1‑cp35‑cp35m‑win32.whl
- milk‑0.6.1‑cp35‑cp35m‑win_amd64.whl
- milk‑0.6.1‑cp36‑cp36m‑win32.whl
- milk‑0.6.1‑cp36‑cp36m‑win_amd64.whl
- milksets‑0.2‑py2.py3‑none‑any.whl
- Minepy, maximal information-based nonparametric
exploration.- minepy‑1.2.1‑cp27‑cp27m‑win32.whl
- minepy‑1.2.1‑cp27‑cp27m‑win_amd64.whl
- minepy‑1.2.1‑cp34‑cp34m‑win32.whl
- minepy‑1.2.1‑cp34‑cp34m‑win_amd64.whl
- minepy‑1.2.1‑cp35‑cp35m‑win32.whl
- minepy‑1.2.1‑cp35‑cp35m‑win_amd64.whl
- minepy‑1.2.1‑cp36‑cp36m‑win32.whl
- minepy‑1.2.1‑cp36‑cp36m‑win_amd64.whl
- Mistune, the fastest markdown parser in pure
Python.- mistune‑0.7.4‑cp27‑cp27m‑win32.whl
- mistune‑0.7.4‑cp27‑cp27m‑win_amd64.whl
- mistune‑0.7.4‑cp34‑cp34m‑win32.whl
- mistune‑0.7.4‑cp34‑cp34m‑win_amd64.whl
- mistune‑0.7.4‑cp35‑cp35m‑win32.whl
- mistune‑0.7.4‑cp35‑cp35m‑win_amd64.whl
- mistune‑0.7.4‑cp36‑cp36m‑win32.whl
- mistune‑0.7.4‑cp36‑cp36m‑win_amd64.whl
- MKL-service, bindings to some MKL
service functions.
Requires numpy+mkl.- mkl_service‑1.1.2‑cp34‑cp34m‑win32.whl
- mkl_service‑1.1.2‑cp34‑cp34m‑win_amd64.whl
- mkl_service‑1.1.2‑cp35‑cp35m‑win32.whl
- mkl_service‑1.1.2‑cp35‑cp35m‑win_amd64.whl
- mkl_service‑1.1.2‑cp36‑cp36m‑win32.whl
- mkl_service‑1.1.2‑cp36‑cp36m‑win_amd64.whl
- Mlpy, a module for machine learning.
- mlpy‑3.5.0‑cp27‑cp27m‑win32.whl
- mlpy‑3.5.0‑cp27‑cp27m‑win_amd64.whl
- mlpy‑3.5.0‑cp34‑cp34m‑win32.whl
- mlpy‑3.5.0‑cp34‑cp34m‑win_amd64.whl
- mlpy‑3.5.0‑cp35‑cp35m‑win32.whl
- mlpy‑3.5.0‑cp35‑cp35m‑win_amd64.whl
- mlpy‑3.5.0‑cp36‑cp36m‑win32.whl
- mlpy‑3.5.0‑cp36‑cp36m‑win_amd64.whl
- mmLib, the Python Macromolecular Library.
- MMTK (Molecular Modelling Toolkit), a library for
molecular simulation applications. - Mod_wsgi, aWSGI adapter
module for the Apache HTTP Server 2.x.
Linked against the VC10, and VC14 binaries from Apache Lounge and VC9 binaries from Apache
House.
See Running mod_wsgi on Windows for version (in)compatibilities.- mod_wsgi‑4.5.19+ap24vc10‑cp34‑cp34m‑win32.whl
- mod_wsgi‑4.5.19+ap24vc10‑cp34‑cp34m‑win_amd64.whl
- mod_wsgi‑4.5.19+ap24vc14‑cp35‑cp35m‑win32.whl
- mod_wsgi‑4.5.19+ap24vc14‑cp35‑cp35m‑win_amd64.whl
- mod_wsgi‑4.5.19+ap24vc14‑cp36‑cp36m‑win32.whl
- mod_wsgi‑4.5.19+ap24vc14‑cp36‑cp36m‑win_amd64.whl
- mod_wsgi‑4.5.19+ap24vc9‑cp27‑cp27m‑win32.whl
- mod_wsgi‑4.5.19+ap24vc9‑cp27‑cp27m‑win_amd64.whl
- ModernGL, modern OpenGL bindings.
- ModernGL‑4.2.0‑cp34‑cp34m‑win32.whl
- ModernGL‑4.2.0‑cp34‑cp34m‑win_amd64.whl
- ModernGL‑4.2.0‑cp35‑cp35m‑win32.whl
- ModernGL‑4.2.0‑cp35‑cp35m‑win_amd64.whl
- ModernGL‑4.2.0‑cp36‑cp36m‑win32.whl
- ModernGL‑4.2.0‑cp36‑cp36m‑win_amd64.whl
- Mpi4py provides bindings of the Message Passing
Interface (MPI) standard.
Requires Microsoft MPI v8.1.- mpi4py‑2.0.0‑cp27‑cp27m‑win32.whl
- mpi4py‑2.0.0‑cp27‑cp27m‑win_amd64.whl
- mpi4py‑2.0.0‑cp34‑cp34m‑win32.whl
- mpi4py‑2.0.0‑cp34‑cp34m‑win_amd64.whl
- mpi4py‑2.0.0‑cp35‑cp35m‑win32.whl
- mpi4py‑2.0.0‑cp35‑cp35m‑win_amd64.whl
- mpi4py‑2.0.0‑cp36‑cp36m‑win32.whl
- mpi4py‑2.0.0‑cp36‑cp36m‑win_amd64.whl
- Msgpack, MessagePack, an efficient binary serialization format.
- msgpack_python‑0.4.8‑cp27‑cp27m‑win32.whl
- msgpack_python‑0.4.8‑cp27‑cp27m‑win_amd64.whl
- msgpack_python‑0.4.8‑cp34‑cp34m‑win32.whl
- msgpack_python‑0.4.8‑cp34‑cp34m‑win_amd64.whl
- msgpack_python‑0.4.8‑cp35‑cp35m‑win32.whl
- msgpack_python‑0.4.8‑cp35‑cp35m‑win_amd64.whl
- msgpack_python‑0.4.8‑cp36‑cp36m‑win32.whl
- msgpack_python‑0.4.8‑cp36‑cp36m‑win_amd64.whl
- Multidict, a dict that may have several
values for the same key.- multidict‑3.3.0‑cp34‑cp34m‑win32.whl
- multidict‑3.3.0‑cp34‑cp34m‑win_amd64.whl
- multidict‑3.3.0‑cp35‑cp35m‑win32.whl
- multidict‑3.3.0‑cp35‑cp35m‑win_amd64.whl
- multidict‑3.3.0‑cp36‑cp36m‑win32.whl
- multidict‑3.3.0‑cp36‑cp36m‑win_amd64.whl
- MultiNEAT, a portable neuroevolution
library.- MultiNEAT‑0.3‑cp27‑cp27m‑win32.whl
- MultiNEAT‑0.3‑cp27‑cp27m‑win_amd64.whl
- MultiNEAT‑0.3‑cp34‑cp34m‑win32.whl
- MultiNEAT‑0.3‑cp34‑cp34m‑win_amd64.whl
- MultiNEAT‑0.3‑cp35‑cp35m‑win32.whl
- MultiNEAT‑0.3‑cp35‑cp35m‑win_amd64.whl
- MultiNEAT‑0.3‑cp36‑cp36m‑win32.whl
- MultiNEAT‑0.3‑cp36‑cp36m‑win_amd64.whl
- Multiprocess, better multiprocessing
and multithreading.- multiprocess‑0.70.5‑cp27‑cp27m‑win32.whl
- multiprocess‑0.70.5‑cp27‑cp27m‑win_amd64.whl
- multiprocess‑0.70.5‑cp34‑cp34m‑win32.whl
- multiprocess‑0.70.5‑cp34‑cp34m‑win_amd64.whl
- multiprocess‑0.70.5‑cp35‑cp35m‑win32.whl
- multiprocess‑0.70.5‑cp35‑cp35m‑win_amd64.whl
- multiprocess‑0.70.5‑cp36‑cp36m‑win32.whl
- multiprocess‑0.70.5‑cp36‑cp36m‑win_amd64.whl
- mxBase contains packages such as
mxDateTime, mxTextTools, mxTools, etc. - MySQL-python, a Python database
API 2.0 interface for theMySQL database
Consider mysqlclient, a Python 3 compatible fork of MySQL-python. - Mysqlclient, a fork of theMySQL-python interface
for the MySQL database.- mysqlclient‑1.3.12‑cp27‑cp27m‑win32.whl
- mysqlclient‑1.3.12‑cp27‑cp27m‑win_amd64.whl
- mysqlclient‑1.3.12‑cp34‑cp34m‑win32.whl
- mysqlclient‑1.3.12‑cp34‑cp34m‑win_amd64.whl
- mysqlclient‑1.3.12‑cp35‑cp35m‑win32.whl
- mysqlclient‑1.3.12‑cp35‑cp35m‑win_amd64.whl
- mysqlclient‑1.3.12‑cp36‑cp36m‑win32.whl
- mysqlclient‑1.3.12‑cp36‑cp36m‑win_amd64.whl
- Natgrid, an interface to the natgrid C library
for gridding irregularly spaced data.- natgrid‑0.2.1‑cp27‑cp27m‑win32.whl
- natgrid‑0.2.1‑cp27‑cp27m‑win_amd64.whl
- natgrid‑0.2.1‑cp34‑cp34m‑win32.whl
- natgrid‑0.2.1‑cp34‑cp34m‑win_amd64.whl
- natgrid‑0.2.1‑cp35‑cp35m‑win32.whl
- natgrid‑0.2.1‑cp35‑cp35m‑win_amd64.whl
- natgrid‑0.2.1‑cp36‑cp36m‑win32.whl
- natgrid‑0.2.1‑cp36‑cp36m‑win_amd64.whl
- NetCDF4 reads and writesNetCDF andHDF5 files.
- netCDF4‑1.1.7+numpy16‑cp27‑none‑win32.whl
- netCDF4‑1.1.7+numpy16‑cp27‑none‑win_amd64.whl
- netCDF4‑1.3.0‑cp27‑cp27m‑win32.whl
- netCDF4‑1.3.0‑cp27‑cp27m‑win_amd64.whl
- netCDF4‑1.3.0‑cp34‑cp34m‑win32.whl
- netCDF4‑1.3.0‑cp34‑cp34m‑win_amd64.whl
- netCDF4‑1.3.0‑cp35‑cp35m‑win32.whl
- netCDF4‑1.3.0‑cp35‑cp35m‑win_amd64.whl
- netCDF4‑1.3.0‑cp36‑cp36m‑win32.whl
- netCDF4‑1.3.0‑cp36‑cp36m‑win_amd64.whl
- Netifaces, portable network interface
information.- netifaces‑0.10.6‑cp27‑cp27m‑win32.whl
- netifaces‑0.10.6‑cp27‑cp27m‑win_amd64.whl
- netifaces‑0.10.6‑cp34‑cp34m‑win32.whl
- netifaces‑0.10.6‑cp34‑cp34m‑win_amd64.whl
- netifaces‑0.10.6‑cp35‑cp35m‑win32.whl
- netifaces‑0.10.6‑cp35‑cp35m‑win_amd64.whl
- netifaces‑0.10.6‑cp36‑cp36m‑win32.whl
- netifaces‑0.10.6‑cp36‑cp36m‑win_amd64.whl
- NIPY is for analysis of structural and functional neuroimaging data.
Requires numpy+mkl.- nipy‑0.4.1‑cp27‑cp27m‑win32.whl
- nipy‑0.4.1‑cp27‑cp27m‑win_amd64.whl
- nipy‑0.4.1‑cp34‑cp34m‑win32.whl
- nipy‑0.4.1‑cp34‑cp34m‑win_amd64.whl
- nipy‑0.4.1‑cp35‑cp35m‑win32.whl
- nipy‑0.4.1‑cp35‑cp35m‑win_amd64.whl
- nipy‑0.4.1‑cp36‑cp36m‑win32.whl
- nipy‑0.4.1‑cp36‑cp36m‑win_amd64.whl
- NiTime, a library for time-series analysis of data
from neuroscience experiments.- nitime‑0.7‑cp27‑cp27m‑win32.whl
- nitime‑0.7‑cp27‑cp27m‑win_amd64.whl
- nitime‑0.7‑cp34‑cp34m‑win32.whl
- nitime‑0.7‑cp34‑cp34m‑win_amd64.whl
- nitime‑0.7‑cp35‑cp35m‑win32.whl
- nitime‑0.7‑cp35‑cp35m‑win_amd64.whl
- nitime‑0.7‑cp36‑cp36m‑win32.whl
- nitime‑0.7‑cp36‑cp36m‑win_amd64.whl
- NLopt, a library for nonlinear optimization.
- NLopt‑2.4.2‑cp27‑cp27m‑win32.whl
- NLopt‑2.4.2‑cp27‑cp27m‑win_amd64.whl
- NLopt‑2.4.2‑cp34‑cp34m‑win32.whl
- NLopt‑2.4.2‑cp34‑cp34m‑win_amd64.whl
- NLopt‑2.4.2‑cp35‑cp35m‑win32.whl
- NLopt‑2.4.2‑cp35‑cp35m‑win_amd64.whl
- NLopt‑2.4.2‑cp36‑cp36m‑win32.whl
- NLopt‑2.4.2‑cp36‑cp36m‑win_amd64.whl
- nMOLDYN, an interactive analysis
program for Molecular Dynamics simulations. - Noise generates Perlin/simplex noise.
- noise‑1.2.2‑cp27‑none‑win32.whl
- noise‑1.2.2‑cp27‑none‑win_amd64.whl
- noise‑1.2.2‑cp34‑none‑win32.whl
- noise‑1.2.2‑cp34‑none‑win_amd64.whl
- noise‑1.2.2‑cp35‑none‑win32.whl
- noise‑1.2.2‑cp35‑none‑win_amd64.whl
- noise‑1.2.2‑cp36‑cp36m‑win32.whl
- noise‑1.2.2‑cp36‑cp36m‑win_amd64.whl
- Numba, a NumPy aware dynamic compiler.
Requires numpy+mkl and llvmlite.- numba‑0.35.0+tbb‑cp35‑cp35m‑win_amd64.whl
- numba‑0.35.0+tbb‑cp36‑cp36m‑win_amd64.whl
- numba‑0.35.0‑cp27‑cp27m‑win32.whl
- numba‑0.35.0‑cp27‑cp27m‑win_amd64.whl
- numba‑0.35.0‑cp34‑cp34m‑win32.whl
- numba‑0.35.0‑cp34‑cp34m‑win_amd64.whl
- numba‑0.35.0‑cp35‑cp35m‑win32.whl
- numba‑0.35.0‑cp35‑cp35m‑win_amd64.whl
- numba‑0.35.0‑cp36‑cp36m‑win32.whl
- numba‑0.35.0‑cp36‑cp36m‑win_amd64.whl
- Numexpr, a fast numerical array expression evaluator.
Requires numpy+mkl.- numexpr‑2.6.4‑cp27‑cp27m‑win32.whl
- numexpr‑2.6.4‑cp27‑cp27m‑win_amd64.whl
- numexpr‑2.6.4‑cp34‑cp34m‑win32.whl
- numexpr‑2.6.4‑cp34‑cp34m‑win_amd64.whl
- numexpr‑2.6.4‑cp35‑cp35m‑win32.whl
- numexpr‑2.6.4‑cp35‑cp35m‑win_amd64.whl
- numexpr‑2.6.4‑cp36‑cp36m‑win32.whl
- numexpr‑2.6.4‑cp36‑cp36m‑win_amd64.whl
- NumPy, a fundamental package needed for scientific
computing with Python.
Numpy+MKL is linked to the Intel® Math Kernel Library and includes required DLLs in the numpy.core directory.- numpy‑1.13.3+mkl‑cp27‑cp27m‑win32.whl
- numpy‑1.13.3+mkl‑cp27‑cp27m‑win_amd64.whl
- numpy‑1.13.3+mkl‑cp34‑cp34m‑win32.whl
- numpy‑1.13.3+mkl‑cp34‑cp34m‑win_amd64.whl
- numpy‑1.13.3+mkl‑cp35‑cp35m‑win32.whl
- numpy‑1.13.3+mkl‑cp35‑cp35m‑win_amd64.whl
- numpy‑1.13.3+mkl‑cp36‑cp36m‑win32.whl
- numpy‑1.13.3+mkl‑cp36‑cp36m‑win_amd64.whl
- ObsPy, a framework for processing seismological data.
- obspy‑1.0.3‑cp27‑cp27m‑win32.whl
- obspy‑1.0.3‑cp27‑cp27m‑win_amd64.whl
- obspy‑1.0.3‑cp34‑cp34m‑win32.whl
- obspy‑1.0.3‑cp34‑cp34m‑win_amd64.whl
- obspy‑1.0.3‑cp35‑cp35m‑win32.whl
- obspy‑1.0.3‑cp35‑cp35m‑win_amd64.whl
- obspy‑1.0.3‑cp36‑cp36m‑win32.whl
- obspy‑1.0.3‑cp36‑cp36m‑win_amd64.whl
- ODE, the Open Dynamics Engine, a high performance
library for simulating rigid body dynamics.- ode‑0.15.2‑cp27‑cp27m‑win32.whl
- ode‑0.15.2‑cp27‑cp27m‑win_amd64.whl
- ode‑0.15.2‑cp34‑cp34m‑win_amd64.whl
- ode‑0.15.2‑cp35‑cp35m‑win32.whl
- ode‑0.15.2‑cp35‑cp35m‑win_amd64.whl
- ode‑0.15.2‑cp36‑cp36m‑win32.whl
- ode‑0.15.2‑cp36‑cp36m‑win_amd64.whl
- OpenBabel, the open source chemistry toolbox.
- openbabel‑2.4.1‑cp27‑cp27m‑win32.whl
- openbabel‑2.4.1‑cp27‑cp27m‑win_amd64.whl
- openbabel‑2.4.1‑cp34‑cp34m‑win32.whl
- openbabel‑2.4.1‑cp34‑cp34m‑win_amd64.whl
- openbabel‑2.4.1‑cp35‑cp35m‑win32.whl
- openbabel‑2.4.1‑cp35‑cp35m‑win_amd64.whl
- openbabel‑2.4.1‑cp36‑cp36m‑win32.whl
- openbabel‑2.4.1‑cp36‑cp36m‑win_amd64.whl
- OpenCV, a real time computer vision library.
- opencv_python‑2.4.13.2‑cp27‑cp27m‑win32.whl
- opencv_python‑2.4.13.2‑cp27‑cp27m‑win_amd64.whl
- opencv_python‑3.1.0‑cp27‑cp27m‑win32.whl
- opencv_python‑3.1.0‑cp27‑cp27m‑win_amd64.whl
- opencv_python‑3.1.0‑cp34‑cp34m‑win32.whl
- opencv_python‑3.1.0‑cp34‑cp34m‑win_amd64.whl
- opencv_python‑3.3.0+contrib‑cp35‑cp35m‑win32.whl
- opencv_python‑3.3.0+contrib‑cp35‑cp35m‑win_amd64.whl
- opencv_python‑3.3.0+contrib‑cp36‑cp36m‑win32.whl
- opencv_python‑3.3.0+contrib‑cp36‑cp36m‑win_amd64.whl
- opencv_python‑3.3.0‑cp35‑cp35m‑win32.whl
- opencv_python‑3.3.0‑cp35‑cp35m‑win_amd64.whl
- opencv_python‑3.3.0‑cp36‑cp36m‑win32.whl
- opencv_python‑3.3.0‑cp36‑cp36m‑win_amd64.whl
- OpenEXR are bindings for
ILM’sOpenEXR image file format.- OpenEXR‑1.2.0‑cp27‑none‑win32.whl
- OpenEXR‑1.2.0‑cp27‑none‑win_amd64.whl
- OpenEXR‑1.3.0‑cp27‑cp27m‑win32.whl
- OpenEXR‑1.3.0‑cp27‑cp27m‑win_amd64.whl
- OpenEXR‑1.3.0‑cp34‑cp34m‑win32.whl
- OpenEXR‑1.3.0‑cp34‑cp34m‑win_amd64.whl
- OpenEXR‑1.3.0‑cp35‑cp35m‑win32.whl
- OpenEXR‑1.3.0‑cp35‑cp35m‑win_amd64.whl
- OpenEXR‑1.3.0‑cp36‑cp36m‑win32.whl
- OpenEXR‑1.3.0‑cp36‑cp36m‑win_amd64.whl
- OpenImageIO, a library for reading and
writing images with emphasis on animation and visual effects.
Includes OpenColorIO.- OpenImageIO‑1.5.22‑bin‑vc9‑x64.zip
- OpenImageIO‑1.5.22‑cp27‑none‑win32.whl
- OpenImageIO‑1.5.22‑cp27‑none‑win_amd64.whl
- OpenImageIO‑1.6.18‑bin‑vc9‑x64.zip
- OpenImageIO‑1.6.18‑cp27‑cp27m‑win32.whl
- OpenImageIO‑1.6.18‑cp27‑cp27m‑win_amd64.whl
- OpenPIV, a package for Particle Image
Velocimetry (PIV).- OpenPIV‑0.20.8‑cp27‑cp27m‑win32.whl
- OpenPIV‑0.20.8‑cp27‑cp27m‑win_amd64.whl
- OpenPIV‑0.20.8‑cp34‑cp34m‑win32.whl
- OpenPIV‑0.20.8‑cp34‑cp34m‑win_amd64.whl
- OpenPIV‑0.20.8‑cp35‑cp35m‑win32.whl
- OpenPIV‑0.20.8‑cp35‑cp35m‑win_amd64.whl
- OpenPIV‑0.20.8‑cp36‑cp36m‑win32.whl
- OpenPIV‑0.20.8‑cp36‑cp36m‑win_amd64.whl
- Orange, a machine learning and interactive data mining
toolbox.
Requires pyqt4, pyqwt,
and networkx.- Orange‑2.7.8‑cp27‑cp27m‑win32.whl
- Orange‑2.7.8‑cp27‑cp27m‑win_amd64.whl
- Orange3‑3.6.0‑cp34‑cp34m‑win32.whl
- Orange3‑3.6.0‑cp34‑cp34m‑win_amd64.whl
- Orange3‑3.6.0‑cp35‑cp35m‑win32.whl
- Orange3‑3.6.0‑cp35‑cp35m‑win_amd64.whl
- Orange3‑3.6.0‑cp36‑cp36m‑win32.whl
- Orange3‑3.6.0‑cp36‑cp36m‑win_amd64.whl
- Orange_Text‑1.2a1‑cp27‑none‑win32.whl
- Orange_Text‑1.2a1‑cp27‑none‑win_amd64.whl
- Oursql, a set of bindings for theMySQL database.
- oursql‑0.9.3.1‑cp27‑none‑win32.whl
- oursql‑0.9.3.1‑cp27‑none‑win_amd64.whl
- oursql‑0.9.4‑cp34‑none‑win32.whl
- oursql‑0.9.4‑cp34‑none‑win_amd64.whl
- Pandas, a cross-section and time series data
analysis toolkit.
Requires numpy, dateutil, pytz, setuptools,
and optionally numexpr, bottleneck,scipy,matplotlib,pytables,lxml,xarray, blosc, backports.lzma,statsmodels,sqlalchemy and
otherdependencies.- pandas‑0.20.3‑cp27‑cp27m‑win32.whl
- pandas‑0.20.3‑cp27‑cp27m‑win_amd64.whl
- pandas‑0.20.3‑cp34‑cp34m‑win32.whl
- pandas‑0.20.3‑cp34‑cp34m‑win_amd64.whl
- pandas‑0.20.3‑cp35‑cp35m‑win32.whl
- pandas‑0.20.3‑cp35‑cp35m‑win_amd64.whl
- pandas‑0.20.3‑cp36‑cp36m‑win32.whl
- pandas‑0.20.3‑cp36‑cp36m‑win_amd64.whl
- pandas‑0.21.0rc1‑cp27‑cp27m‑win32.whl
- pandas‑0.21.0rc1‑cp27‑cp27m‑win_amd64.whl
- pandas‑0.21.0rc1‑cp34‑cp34m‑win32.whl
- pandas‑0.21.0rc1‑cp34‑cp34m‑win_amd64.whl
- pandas‑0.21.0rc1‑cp35‑cp35m‑win32.whl
- pandas‑0.21.0rc1‑cp35‑cp35m‑win_amd64.whl
- pandas‑0.21.0rc1‑cp36‑cp36m‑win32.whl
- pandas‑0.21.0rc1‑cp36‑cp36m‑win_amd64.whl
- Param provides Parameters.
- param‑1.5.1‑cp27‑cp27m‑win32.whl
- param‑1.5.1‑cp27‑cp27m‑win_amd64.whl
- param‑1.5.1‑cp34‑cp34m‑win32.whl
- param‑1.5.1‑cp34‑cp34m‑win_amd64.whl
- param‑1.5.1‑cp35‑cp35m‑win32.whl
- param‑1.5.1‑cp35‑cp35m‑win_amd64.whl
- param‑1.5.1‑cp36‑cp36m‑win32.whl
- param‑1.5.1‑cp36‑cp36m‑win_amd64.whl
- Peewee, a small, expressive ORM.
- peewee‑2.10.2‑cp27‑cp27m‑win32.whl
- peewee‑2.10.2‑cp27‑cp27m‑win_amd64.whl
- peewee‑2.10.2‑cp34‑cp34m‑win32.whl
- peewee‑2.10.2‑cp34‑cp34m‑win_amd64.whl
- peewee‑2.10.2‑cp35‑cp35m‑win32.whl
- peewee‑2.10.2‑cp35‑cp35m‑win_amd64.whl
- peewee‑2.10.2‑cp36‑cp36m‑win32.whl
- peewee‑2.10.2‑cp36‑cp36m‑win_amd64.whl
- Persistent, translucent persistent
objects.- persistent‑4.2.4.1‑cp27‑cp27m‑win32.whl
- persistent‑4.2.4.1‑cp27‑cp27m‑win_amd64.whl
- persistent‑4.2.4.1‑cp34‑cp34m‑win32.whl
- persistent‑4.2.4.1‑cp34‑cp34m‑win_amd64.whl
- persistent‑4.2.4.1‑cp35‑cp35m‑win32.whl
- persistent‑4.2.4.1‑cp35‑cp35m‑win_amd64.whl
- persistent‑4.2.4.1‑cp36‑cp36m‑win32.whl
- persistent‑4.2.4.1‑cp36‑cp36m‑win_amd64.whl
- Pgmagick is yet another wrapper forGraphicsMagick.
- pgmagick‑0.6.5‑cp27‑cp27m‑win32.whl
- pgmagick‑0.6.5‑cp27‑cp27m‑win_amd64.whl
- pgmagick‑0.6.5‑cp34‑cp34m‑win32.whl
- pgmagick‑0.6.5‑cp34‑cp34m‑win_amd64.whl
- pgmagick‑0.6.5‑cp35‑cp35m‑win32.whl
- pgmagick‑0.6.5‑cp35‑cp35m‑win_amd64.whl
- pgmagick‑0.6.5‑cp36‑cp36m‑win32.whl
- pgmagick‑0.6.5‑cp36‑cp36m‑win_amd64.whl
- Pillow, a replacement forPIL,
the Python Image Library, which provides image processing functionality and supports many file formats.
Use `from PIL import Image` instead of `import Image`.- PIL‑2.0+dummy‑py2.py3‑none‑any.whl
- Pillow‑3.4.2‑cp36‑cp36m‑win32.whl
- Pillow‑3.4.2‑cp36‑cp36m‑win_amd64.whl
- Pillow‑4.3.0‑cp27‑cp27m‑win32.whl
- Pillow‑4.3.0‑cp27‑cp27m‑win_amd64.whl
- Pillow‑4.3.0‑cp34‑cp34m‑win32.whl
- Pillow‑4.3.0‑cp34‑cp34m‑win_amd64.whl
- Pillow‑4.3.0‑cp35‑cp35m‑win32.whl
- Pillow‑4.3.0‑cp35‑cp35m‑win_amd64.whl
- Pillow‑4.3.0‑cp36‑cp36m‑win32.whl
- Pillow‑4.3.0‑cp36‑cp36m‑win_amd64.whl
- Pillow‑4.3.0‑pp258‑pypy_41‑win32.whl
- Pillow-SIMD, a fork ofPillow with
SIMD optimizations.- Pillow_SIMD‑4.3.0.post0‑cp35‑cp35m‑win32.whl
- Pillow_SIMD‑4.3.0.post0‑cp35‑cp35m‑win_amd64.whl
- Pillow_SIMD‑4.3.0.post0‑cp36‑cp36m‑win32.whl
- Pillow_SIMD‑4.3.0.post0‑cp36‑cp36m‑win_amd64.whl
- Pip is the recommended tool for installing Python
packages.
Pip and setuptools are included with Python >=3.4 and >=2.7.9.
To bootstrap pip on installations without pip, use the get-pip.py script or run
python.exe pip-9.0.1-py2.py3-none-any.whl/pip install pip-9.0.1-py2.py3-none-any.whl. - Planar, a 2D planar geometry library.
- planar‑0.4‑cp27‑cp27m‑win32.whl
- planar‑0.4‑cp27‑cp27m‑win_amd64.whl
- planar‑0.4‑cp34‑cp34m‑win32.whl
- planar‑0.4‑cp34‑cp34m‑win_amd64.whl
- planar‑0.4‑cp35‑cp35m‑win32.whl
- planar‑0.4‑cp35‑cp35m‑win_amd64.whl
- planar‑0.4‑cp36‑cp36m‑win32.whl
- planar‑0.4‑cp36‑cp36m‑win_amd64.whl
- Pocketsphinx, an interface
to the CMU SphinxBase and PocketSphinx libraries.- pocketsphinx‑0.1.3‑cp27‑cp27m‑win32.whl
- pocketsphinx‑0.1.3‑cp27‑cp27m‑win_amd64.whl
- pocketsphinx‑0.1.3‑cp34‑cp34m‑win32.whl
- pocketsphinx‑0.1.3‑cp34‑cp34m‑win_amd64.whl
- pocketsphinx‑0.1.3‑cp35‑cp35m‑win32.whl
- pocketsphinx‑0.1.3‑cp35‑cp35m‑win_amd64.whl
- pocketsphinx‑0.1.3‑cp36‑cp36m‑win32.whl
- pocketsphinx‑0.1.3‑cp36‑cp36m‑win_amd64.whl
- Polygon handles polygonal shapes in 2D.
This library is free for non-commercial use only.- Polygon2‑2.0.8‑cp27‑cp27m‑win32.whl
- Polygon2‑2.0.8‑cp27‑cp27m‑win_amd64.whl
- Polygon3‑3.0.8‑cp34‑cp34m‑win32.whl
- Polygon3‑3.0.8‑cp34‑cp34m‑win_amd64.whl
- Polygon3‑3.0.8‑cp35‑cp35m‑win32.whl
- Polygon3‑3.0.8‑cp35‑cp35m‑win_amd64.whl
- Polygon3‑3.0.8‑cp36‑cp36m‑win32.whl
- Polygon3‑3.0.8‑cp36‑cp36m‑win_amd64.whl
- Polymode performs modal analysis of microstructured
optical fibers.
Requires numpy+mkl. - Psf, point spread function (PSF) calculations
for fluorescence microscopy.- psf‑2015.3.19‑cp27‑none‑win32.whl
- psf‑2015.3.19‑cp27‑none‑win_amd64.whl
- psf‑2015.3.19‑cp34‑none‑win32.whl
- psf‑2015.3.19‑cp34‑none‑win_amd64.whl
- psf‑2015.3.19‑cp35‑none‑win32.whl
- psf‑2015.3.19‑cp35‑none‑win_amd64.whl
- psf‑2015.3.19‑cp36‑cp36m‑win32.whl
- psf‑2015.3.19‑cp36‑cp36m‑win_amd64.whl
- Psutil provides information on running processes
and system utilization.- psutil‑5.4.0‑cp27‑cp27m‑win32.whl
- psutil‑5.4.0‑cp27‑cp27m‑win_amd64.whl
- psutil‑5.4.0‑cp34‑cp34m‑win32.whl
- psutil‑5.4.0‑cp34‑cp34m‑win_amd64.whl
- psutil‑5.4.0‑cp35‑cp35m‑win32.whl
- psutil‑5.4.0‑cp35‑cp35m‑win_amd64.whl
- psutil‑5.4.0‑cp36‑cp36m‑win32.whl
- psutil‑5.4.0‑cp36‑cp36m‑win_amd64.whl
- Psycopg, aPostgreSQL database
adapter.- psycopg2‑2.7.3‑cp27‑cp27m‑win32.whl
- psycopg2‑2.7.3‑cp27‑cp27m‑win_amd64.whl
- psycopg2‑2.7.3‑cp34‑cp34m‑win32.whl
- psycopg2‑2.7.3‑cp34‑cp34m‑win_amd64.whl
- psycopg2‑2.7.3‑cp35‑cp35m‑win32.whl
- psycopg2‑2.7.3‑cp35‑cp35m‑win_amd64.whl
- psycopg2‑2.7.3‑cp36‑cp36m‑win32.whl
- psycopg2‑2.7.3‑cp36‑cp36m‑win_amd64.whl
- PuLP, an LP modeler using theCoinMP library.
Requires pyparsing.- PuLP‑1.6.8‑cp27‑cp27m‑win32.whl
- PuLP‑1.6.8‑cp27‑cp27m‑win_amd64.whl
- PuLP‑1.6.8‑cp34‑cp34m‑win32.whl
- PuLP‑1.6.8‑cp34‑cp34m‑win_amd64.whl
- PuLP‑1.6.8‑cp35‑cp35m‑win32.whl
- PuLP‑1.6.8‑cp35‑cp35m‑win_amd64.whl
- PuLP‑1.6.8‑cp36‑cp36m‑win32.whl
- PuLP‑1.6.8‑cp36‑cp36m‑win_amd64.whl
- Py-earth, an implementation
of Jerome Friedman’s multivariate adaptive regression splines.- py_earth‑0.1.0‑cp27‑cp27m‑win32.whl
- py_earth‑0.1.0‑cp27‑cp27m‑win_amd64.whl
- py_earth‑0.1.0‑cp34‑cp34m‑win32.whl
- py_earth‑0.1.0‑cp34‑cp34m‑win_amd64.whl
- py_earth‑0.1.0‑cp35‑cp35m‑win32.whl
- py_earth‑0.1.0‑cp35‑cp35m‑win_amd64.whl
- py_earth‑0.1.0‑cp36‑cp36m‑win32.whl
- py_earth‑0.1.0‑cp36‑cp36m‑win_amd64.whl
- Py-fcm, a library for flow cytometry.
- Py-lmdb, binding for theLMDB Lightning
Database.- lmdb‑0.93‑cp27‑cp27m‑win32.whl
- lmdb‑0.93‑cp27‑cp27m‑win_amd64.whl
- lmdb‑0.93‑cp34‑cp34m‑win32.whl
- lmdb‑0.93‑cp34‑cp34m‑win_amd64.whl
- lmdb‑0.93‑cp35‑cp35m‑win32.whl
- lmdb‑0.93‑cp35‑cp35m‑win_amd64.whl
- lmdb‑0.93‑cp36‑cp36m‑win32.whl
- lmdb‑0.93‑cp36‑cp36m‑win_amd64.whl
- Py2exe converts Python scripts into executable Windows programs.
- py2exe‑0.6.10a1‑cp27‑none‑win32.whl
- py2exe‑0.6.10a1‑cp27‑none‑win_amd64.whl
- py2exe‑0.9.2.2‑cp34‑none‑win32.whl
- py2exe‑0.9.2.2‑cp34‑none‑win_amd64.whl
- Py_gd, a wrapper for thelibgd graphics
drawing library.- py_gd‑0.1.5‑cp27‑cp27m‑win32.whl
- py_gd‑0.1.5‑cp27‑cp27m‑win_amd64.whl
- py_gd‑0.1.7.1‑cp27‑cp27m‑win32.whl
- py_gd‑0.1.7.1‑cp27‑cp27m‑win_amd64.whl
- PyAlembic provides bindings for theAlembic computer
graphics interchange framework.
Includes OpenEXR PyIlmBase.- abcview‑1.0.8‑py2‑none‑any.whl
- PyAlembic‑1.5.7‑cp27‑none‑win32.whl
- PyAlembic‑1.5.7‑cp27‑none‑win_amd64.whl
- PyAMF provides Action Message Format (AMF) support.
- PyAMG, a library of Algebraic Multigrid (AMG) solvers.
- pyamg‑2.3.2‑cp27‑none‑win32.whl
- pyamg‑2.3.2‑cp27‑none‑win_amd64.whl
- pyamg‑3.3.0‑cp27‑cp27m‑win32.whl
- pyamg‑3.3.0‑cp27‑cp27m‑win_amd64.whl
- pyamg‑3.3.0‑cp34‑cp34m‑win32.whl
- pyamg‑3.3.0‑cp34‑cp34m‑win_amd64.whl
- pyamg‑3.3.0‑cp35‑cp35m‑win32.whl
- pyamg‑3.3.0‑cp35‑cp35m‑win_amd64.whl
- pyamg‑3.3.0‑cp36‑cp36m‑win32.whl
- pyamg‑3.3.0‑cp36‑cp36m‑win_amd64.whl
- PyArrow, a columnar in-memory analytics layer
designed to accelerate big data. - PyAudio provides bindings for thePortAudio library.
Includes ASIO, DS, WMME, WASAPI, WDMKS support.- PyAudio‑0.2.11‑cp27‑cp27m‑win32.whl
- PyAudio‑0.2.11‑cp27‑cp27m‑win_amd64.whl
- PyAudio‑0.2.11‑cp34‑cp34m‑win32.whl
- PyAudio‑0.2.11‑cp34‑cp34m‑win_amd64.whl
- PyAudio‑0.2.11‑cp35‑cp35m‑win32.whl
- PyAudio‑0.2.11‑cp35‑cp35m‑win_amd64.whl
- PyAudio‑0.2.11‑cp36‑cp36m‑win32.whl
- PyAudio‑0.2.11‑cp36‑cp36m‑win_amd64.whl
- PyBluez, a wrapper around system Bluetooth
resources.- PyBluez‑0.22‑cp27‑none‑win32.whl
- PyBluez‑0.22‑cp27‑none‑win_amd64.whl
- PyBluez‑0.22‑cp34‑none‑win32.whl
- PyBluez‑0.22‑cp34‑none‑win_amd64.whl
- PyBluez‑0.22‑cp35‑none‑win32.whl
- PyBluez‑0.22‑cp35‑none‑win_amd64.whl
- PyBox2D, a 2D physics library based onBox2D.
- Box2D‑2.3.2‑cp27‑cp27m‑win32.whl
- Box2D‑2.3.2‑cp27‑cp27m‑win_amd64.whl
- Box2D‑2.3.2‑cp34‑cp34m‑win32.whl
- Box2D‑2.3.2‑cp34‑cp34m‑win_amd64.whl
- Box2D‑2.3.2‑cp35‑cp35m‑win32.whl
- Box2D‑2.3.2‑cp35‑cp35m‑win_amd64.whl
- Box2D‑2.3.2‑cp36‑cp36m‑win32.whl
- Box2D‑2.3.2‑cp36‑cp36m‑win_amd64.whl
- Pycairo, a set of bindings for thecairo graphics
library.
These builds are not compatible with PyGTK andwxPython.- pycairo‑1.15.2‑cp27‑cp27m‑win32.whl
- pycairo‑1.15.2‑cp27‑cp27m‑win_amd64.whl
- pycairo‑1.15.2‑cp34‑cp34m‑win32.whl
- pycairo‑1.15.2‑cp34‑cp34m‑win_amd64.whl
- pycairo‑1.15.2‑cp35‑cp35m‑win32.whl
- pycairo‑1.15.2‑cp35‑cp35m‑win_amd64.whl
- pycairo‑1.15.2‑cp36‑cp36m‑win32.whl
- pycairo‑1.15.2‑cp36‑cp36m‑win_amd64.whl
- Pycares provides an interface to c-ares.
- pycares‑2.3.0‑cp27‑cp27m‑win32.whl
- pycares‑2.3.0‑cp27‑cp27m‑win_amd64.whl
- pycares‑2.3.0‑cp34‑cp34m‑win32.whl
- pycares‑2.3.0‑cp34‑cp34m‑win_amd64.whl
- pycares‑2.3.0‑cp35‑cp35m‑win32.whl
- pycares‑2.3.0‑cp35‑cp35m‑win_amd64.whl
- pycares‑2.3.0‑cp36‑cp36m‑win32.whl
- pycares‑2.3.0‑cp36‑cp36m‑win_amd64.whl
- PyCifRW provides support for reading
and writingCIF files.- PyCifRW‑3.6.2‑cp27‑none‑win32.whl
- PyCifRW‑3.6.2‑cp27‑none‑win_amd64.whl
- PyCifRW‑4.3‑cp27‑cp27m‑win32.whl
- PyCifRW‑4.3‑cp27‑cp27m‑win_amd64.whl
- PyCifRW‑4.3‑cp34‑cp34m‑win32.whl
- PyCifRW‑4.3‑cp34‑cp34m‑win_amd64.whl
- PyCifRW‑4.3‑cp35‑cp35m‑win32.whl
- PyCifRW‑4.3‑cp35‑cp35m‑win_amd64.whl
- PyCifRW‑4.3‑cp36‑cp36m‑win32.whl
- PyCifRW‑4.3‑cp36‑cp36m‑win_amd64.whl
- PyCLD2, bindings for theCompact
Language Detector 2.- pycld2‑0.31‑cp27‑cp27m‑win32.whl
- pycld2‑0.31‑cp27‑cp27m‑win_amd64.whl
- pycld2‑0.31‑cp34‑cp34m‑win32.whl
- pycld2‑0.31‑cp34‑cp34m‑win_amd64.whl
- pycld2‑0.31‑cp35‑cp35m‑win32.whl
- pycld2‑0.31‑cp35‑cp35m‑win_amd64.whl
- pycld2‑0.31‑cp36‑cp36m‑win32.whl
- pycld2‑0.31‑cp36‑cp36m‑win_amd64.whl
- PyCluster implements
clustering methods for gene expression data analysis.- Pycluster‑1.52‑cp27‑cp27m‑win32.whl
- Pycluster‑1.52‑cp27‑cp27m‑win_amd64.whl
- Pycluster‑1.52‑cp34‑cp34m‑win32.whl
- Pycluster‑1.52‑cp34‑cp34m‑win_amd64.whl
- Pycluster‑1.52‑cp35‑cp35m‑win32.whl
- Pycluster‑1.52‑cp35‑cp35m‑win_amd64.whl
- Pycluster‑1.52‑cp36‑cp36m‑win32.whl
- Pycluster‑1.52‑cp36‑cp36m‑win_amd64.whl
- PyCogent, a software library for genomic
biology. - PyCorrFit, a versatile tool for FCS
data analysis. - Pycosat, bindings to thePicoSAT SAT
solver.- pycosat‑0.6.1‑cp27‑cp27m‑win32.whl
- pycosat‑0.6.1‑cp27‑cp27m‑win_amd64.whl
- pycosat‑0.6.1‑cp34‑cp34m‑win32.whl
- pycosat‑0.6.1‑cp34‑cp34m‑win_amd64.whl
- pycosat‑0.6.1‑cp35‑cp35m‑win32.whl
- pycosat‑0.6.1‑cp35‑cp35m‑win_amd64.whl
- pycosat‑0.6.1‑cp36‑cp36m‑win32.whl
- pycosat‑0.6.1‑cp36‑cp36m‑win_amd64.whl
- PyCUDA gives access to Nvidia’s parallel
computing API.
Requires pytools, matchingCUDA
Toolkit, compatible Nvidia driver, and MSVC compiler.- pycuda‑2014.1+cuda6514‑cp27‑none‑win32.whl
- pycuda‑2014.1+cuda6514‑cp27‑none‑win_amd64.whl
- pycuda‑2014.1+cuda6514‑cp34‑none‑win32.whl
- pycuda‑2014.1+cuda6514‑cp34‑none‑win_amd64.whl
- pycuda‑2016.1.2+cuda7518‑cp27‑cp27m‑win32.whl
- pycuda‑2016.1.2+cuda7518‑cp27‑cp27m‑win_amd64.whl
- pycuda‑2016.1.2+cuda7518‑cp34‑cp34m‑win32.whl
- pycuda‑2016.1.2+cuda7518‑cp34‑cp34m‑win_amd64.whl
- pycuda‑2016.1.2+cuda7518‑cp35‑cp35m‑win32.whl
- pycuda‑2016.1.2+cuda7518‑cp35‑cp35m‑win_amd64.whl
- pycuda‑2017.1.1+cuda8061‑cp27‑cp27m‑win32.whl
- pycuda‑2017.1.1+cuda8061‑cp27‑cp27m‑win_amd64.whl
- pycuda‑2017.1.1+cuda8061‑cp34‑cp34m‑win32.whl
- pycuda‑2017.1.1+cuda8061‑cp34‑cp34m‑win_amd64.whl
- pycuda‑2017.1.1+cuda8061‑cp35‑cp35m‑win32.whl
- pycuda‑2017.1.1+cuda8061‑cp35‑cp35m‑win_amd64.whl
- pycuda‑2017.1.1+cuda8061‑cp36‑cp36m‑win32.whl
- pycuda‑2017.1.1+cuda8061‑cp36‑cp36m‑win_amd64.whl
- PycURL, a interface to thelibcurl library.
- pycurl‑7.43.0‑cp27‑cp27m‑win32.whl
- pycurl‑7.43.0‑cp27‑cp27m‑win_amd64.whl
- pycurl‑7.43.0‑cp34‑cp34m‑win32.whl
- pycurl‑7.43.0‑cp34‑cp34m‑win_amd64.whl
- pycurl‑7.43.0‑cp35‑cp35m‑win32.whl
- pycurl‑7.43.0‑cp35‑cp35m‑win_amd64.whl
- pycurl‑7.43.0‑cp36‑cp36m‑win32.whl
- pycurl‑7.43.0‑cp36‑cp36m‑win_amd64.whl
- PyDbg, a Win32 debugger interface.
Includes the pydasm disassembly library. - PyDDE, a numerical solver for systems of delay
differential equations (DDEs).- PyDDE‑0.2.2‑cp27‑cp27m‑win32.whl
- PyDDE‑0.2.2‑cp27‑cp27m‑win_amd64.whl
- PyDDE‑0.2.2‑cp34‑cp34m‑win32.whl
- PyDDE‑0.2.2‑cp34‑cp34m‑win_amd64.whl
- PyDDE‑0.2.2‑cp35‑cp35m‑win32.whl
- PyDDE‑0.2.2‑cp35‑cp35m‑win_amd64.whl
- PyDDE‑0.2.2‑cp36‑cp36m‑win32.whl
- PyDDE‑0.2.2‑cp36‑cp36m‑win_amd64.whl
- PyEDA, a library for electronic design automation.
- pyeda‑0.28.0‑cp35‑cp35m‑win32.whl
- pyeda‑0.28.0‑cp35‑cp35m‑win_amd64.whl
- pyeda‑0.28.0‑cp36‑cp36m‑win32.whl
- pyeda‑0.28.0‑cp36‑cp36m‑win_amd64.whl
- PyEMD implements the Earth Mover’s Distance.
- pyemd‑0.4.4‑cp27‑cp27m‑win32.whl
- pyemd‑0.4.4‑cp27‑cp27m‑win_amd64.whl
- pyemd‑0.4.4‑cp34‑cp34m‑win32.whl
- pyemd‑0.4.4‑cp34‑cp34m‑win_amd64.whl
- pyemd‑0.4.4‑cp35‑cp35m‑win32.whl
- pyemd‑0.4.4‑cp35‑cp35m‑win_amd64.whl
- pyemd‑0.4.4‑cp36‑cp36m‑win32.whl
- pyemd‑0.4.4‑cp36‑cp36m‑win_amd64.whl
- PyEphem provides scientific-grade astronomical
computations.- ephem‑3.7.6.0‑cp27‑cp27m‑win32.whl
- ephem‑3.7.6.0‑cp27‑cp27m‑win_amd64.whl
- ephem‑3.7.6.0‑cp34‑cp34m‑win32.whl
- ephem‑3.7.6.0‑cp34‑cp34m‑win_amd64.whl
- ephem‑3.7.6.0‑cp35‑cp35m‑win32.whl
- ephem‑3.7.6.0‑cp35‑cp35m‑win_amd64.whl
- ephem‑3.7.6.0‑cp36‑cp36m‑win32.whl
- ephem‑3.7.6.0‑cp36‑cp36m‑win_amd64.whl
- Pyexiv2 provides bindings to theexiv2 library
for image metadata. - PyFFTW, a wrapper around theFFTW C
library.- pyFFTW‑0.10.4‑cp27‑cp27m‑win32.whl
- pyFFTW‑0.10.4‑cp27‑cp27m‑win_amd64.whl
- pyFFTW‑0.10.4‑cp34‑cp34m‑win32.whl
- pyFFTW‑0.10.4‑cp34‑cp34m‑win_amd64.whl
- pyFFTW‑0.10.4‑cp35‑cp35m‑win32.whl
- pyFFTW‑0.10.4‑cp35‑cp35m‑win_amd64.whl
- pyFFTW‑0.10.4‑cp36‑cp36m‑win32.whl
- pyFFTW‑0.10.4‑cp36‑cp36m‑win_amd64.whl
- PyFITS provides an interface
toFITS formatted files.
This package is now part of astropy.- pyfits‑3.4‑cp27‑none‑win32.whl
- pyfits‑3.4‑cp27‑none‑win_amd64.whl
- pyfits‑3.4‑cp34‑cp34m‑win32.whl
- pyfits‑3.4‑cp34‑cp34m‑win_amd64.whl
- pyfits‑3.4‑cp35‑cp35m‑win32.whl
- pyfits‑3.4‑cp35‑cp35m‑win_amd64.whl
- pyfits‑3.4‑cp36‑cp36m‑win32.whl
- pyfits‑3.4‑cp36‑cp36m‑win_amd64.whl
- pyFLTK, a wrapper for theFast
Light Tool Kit cross-platform graphical user-interface library.- pyFltk‑1.3.3.1‑cp27‑cp27m‑win32.whl
- pyFltk‑1.3.3.1‑cp27‑cp27m‑win_amd64.whl
- pyFltk‑1.3.3.1‑cp34‑cp34m‑win32.whl
- pyFltk‑1.3.3.1‑cp34‑cp34m‑win_amd64.whl
- pyFltk‑1.3.3.1‑cp35‑cp35m‑win32.whl
- pyFltk‑1.3.3.1‑cp35‑cp35m‑win_amd64.whl
- pyFltk‑1.3.3.1‑cp36‑cp36m‑win32.whl
- pyFltk‑1.3.3.1‑cp36‑cp36m‑win_amd64.whl
- PyFlux, a time series library.
- pyflux‑0.4.15‑cp27‑cp27m‑win32.whl
- pyflux‑0.4.15‑cp27‑cp27m‑win_amd64.whl
- pyflux‑0.4.15‑cp34‑cp34m‑win32.whl
- pyflux‑0.4.15‑cp34‑cp34m‑win_amd64.whl
- pyflux‑0.4.15‑cp35‑cp35m‑win32.whl
- pyflux‑0.4.15‑cp35‑cp35m‑win_amd64.whl
- pyflux‑0.4.15‑cp36‑cp36m‑win32.whl
- pyflux‑0.4.15‑cp36‑cp36m‑win_amd64.whl
- PyFMI enables loading and interacting with Functional
Mock-Up Units (FMUs).
Requires numpy+mkl, assimulo, lxml and scipy.- PyFMI‑1.5‑cp27‑none‑win32.whl
- PyFMI‑1.5‑cp27‑none‑win_amd64.whl
- PyFMI‑2.4‑cp27‑cp27m‑win32.whl
- PyFMI‑2.4‑cp27‑cp27m‑win_amd64.whl
- PyFMI‑2.4‑cp34‑cp34m‑win32.whl
- PyFMI‑2.4‑cp34‑cp34m‑win_amd64.whl
- PyFMI‑2.4‑cp35‑cp35m‑win32.whl
- PyFMI‑2.4‑cp35‑cp35m‑win_amd64.whl
- PyFMI‑2.4‑cp36‑cp36m‑win32.whl
- PyFMI‑2.4‑cp36‑cp36m‑win_amd64.whl
- Pygame, a library for writing games based
on theSDL library.- pygame‑1.9.3‑cp27‑cp27m‑win32.whl
- pygame‑1.9.3‑cp27‑cp27m‑win_amd64.whl
- pygame‑1.9.3‑cp34‑cp34m‑win32.whl
- pygame‑1.9.3‑cp34‑cp34m‑win_amd64.whl
- pygame‑1.9.3‑cp35‑cp35m‑win32.whl
- pygame‑1.9.3‑cp35‑cp35m‑win_amd64.whl
- pygame‑1.9.3‑cp36‑cp36m‑win32.whl
- pygame‑1.9.3‑cp36‑cp36m‑win_amd64.whl
- Pygit2, a set of bindings to thelibgit2 shared
library.- pygit2‑0.26.0‑cp27‑cp27m‑win32.whl
- pygit2‑0.26.0‑cp27‑cp27m‑win_amd64.whl
- pygit2‑0.26.0‑cp34‑cp34m‑win32.whl
- pygit2‑0.26.0‑cp34‑cp34m‑win_amd64.whl
- pygit2‑0.26.0‑cp35‑cp35m‑win32.whl
- pygit2‑0.26.0‑cp35‑cp35m‑win_amd64.whl
- pygit2‑0.26.0‑cp36‑cp36m‑win32.whl
- pygit2‑0.26.0‑cp36‑cp36m‑win_amd64.whl
- Pyglet, a cross-platform windowing and multimedia
library usingAVbin. - PyGraphviz, an interface to theGraphviz graph
layout and visualization package.
Requires graphviz-2.38.msi.- pygraphviz‑1.3.1‑cp27‑none‑win32.whl
- pygraphviz‑1.3.1‑cp27‑none‑win_amd64.whl
- pygraphviz‑1.3.1‑cp34‑none‑win32.whl
- pygraphviz‑1.3.1‑cp34‑none‑win_amd64.whl
- PyGreSQL interfaces to aPostgreSQL database.
- PyGreSQL‑5.0.4‑cp27‑cp27m‑win32.whl
- PyGreSQL‑5.0.4‑cp27‑cp27m‑win_amd64.whl
- PyGreSQL‑5.0.4‑cp34‑cp34m‑win32.whl
- PyGreSQL‑5.0.4‑cp34‑cp34m‑win_amd64.whl
- PyGreSQL‑5.0.4‑cp35‑cp35m‑win32.whl
- PyGreSQL‑5.0.4‑cp35‑cp35m‑win_amd64.whl
- PyGreSQL‑5.0.4‑cp36‑cp36m‑win32.whl
- PyGreSQL‑5.0.4‑cp36‑cp36m‑win_amd64.whl
- PyGTK, a wrapper for theGTK+ library.
Requires the GTK+ 2.22 runtime.
The pycairo module was moved to gtk.cairo.- pycairo_gtk‑1.10.0‑cp27‑none‑win32.whl
- pycairo_gtk‑1.10.0‑cp27‑none‑win_amd64.whl
- pygobject‑2.28.6‑cp27‑none‑win32.whl
- pygobject‑2.28.6‑cp27‑none‑win_amd64.whl
- pygtk‑2.22.0‑cp27‑none‑win32.whl
- pygtk‑2.22.0‑cp27‑none‑win_amd64.whl
- PyHDF, an interface to the NCSAHDF4 library.
- python_hdf4‑0.9‑cp27‑cp27m‑win32.whl
- python_hdf4‑0.9‑cp27‑cp27m‑win_amd64.whl
- python_hdf4‑0.9‑cp34‑cp34m‑win32.whl
- python_hdf4‑0.9‑cp34‑cp34m‑win_amd64.whl
- python_hdf4‑0.9‑cp35‑cp35m‑win32.whl
- python_hdf4‑0.9‑cp35‑cp35m‑win_amd64.whl
- python_hdf4‑0.9‑cp36‑cp36m‑win32.whl
- python_hdf4‑0.9‑cp36‑cp36m‑win_amd64.whl
- PyHook, a wrapper for global input hooks
in Windows.- pyHook‑1.5.1‑cp27‑cp27m‑win32.whl
- pyHook‑1.5.1‑cp27‑cp27m‑win_amd64.whl
- pyHook‑1.5.1‑cp34‑cp34m‑win32.whl
- pyHook‑1.5.1‑cp34‑cp34m‑win_amd64.whl
- pyHook‑1.5.1‑cp35‑cp35m‑win32.whl
- pyHook‑1.5.1‑cp35‑cp35m‑win_amd64.whl
- pyHook‑1.5.1‑cp36‑cp36m‑win32.whl
- pyHook‑1.5.1‑cp36‑cp36m‑win_amd64.whl
- PyICU wraps theICU (International
Components for Unicode) library.- PyICU‑1.9.7‑cp27‑cp27m‑win32.whl
- PyICU‑1.9.7‑cp27‑cp27m‑win_amd64.whl
- PyICU‑1.9.7‑cp34‑cp34m‑win32.whl
- PyICU‑1.9.7‑cp34‑cp34m‑win_amd64.whl
- PyICU‑1.9.7‑cp35‑cp35m‑win32.whl
- PyICU‑1.9.7‑cp35‑cp35m‑win_amd64.whl
- PyICU‑1.9.7‑cp36‑cp36m‑win32.whl
- PyICU‑1.9.7‑cp36‑cp36m‑win_amd64.whl
- PyISAPIe, an ISAPI extension for IIS.
- PyJNIus, access Java classes as Python classes
using JNI.- pyjnius‑1.1.1‑cp27‑cp27m‑win32.whl
- pyjnius‑1.1.1‑cp27‑cp27m‑win_amd64.whl
- pyjnius‑1.1.1‑cp34‑cp34m‑win32.whl
- pyjnius‑1.1.1‑cp34‑cp34m‑win_amd64.whl
- pyjnius‑1.1.1‑cp35‑cp35m‑win32.whl
- pyjnius‑1.1.1‑cp35‑cp35m‑win_amd64.whl
- pyjnius‑1.1.1‑cp36‑cp36m‑win32.whl
- pyjnius‑1.1.1‑cp36‑cp36m‑win_amd64.whl
- PyKSVD, a highly optimized, parallel implementation
of the Batch-OMP version of the KSVD learning algorithm. - Pyldap a fork ofpython-ldap,
which provides an object-oriented API to access LDAP directory servers viaOpenLDAP.- pyldap‑2.4.37‑cp27‑cp27m‑win32.whl
- pyldap‑2.4.37‑cp27‑cp27m‑win_amd64.whl
- pyldap‑2.4.37‑cp34‑cp34m‑win32.whl
- pyldap‑2.4.37‑cp34‑cp34m‑win_amd64.whl
- pyldap‑2.4.37‑cp35‑cp35m‑win32.whl
- pyldap‑2.4.37‑cp35‑cp35m‑win_amd64.whl
- pyldap‑2.4.37‑cp36‑cp36m‑win32.whl
- pyldap‑2.4.37‑cp36‑cp36m‑win_amd64.whl
- PyLibDeconv, a wrapper for thedeconv library.
Requires numpy+mkl. - PyLibTiff, a package for reading and writing
TIFF and LSM files. - PyLZMA, bindings for theLZMA compression
library.- pylzma‑0.4.9‑cp27‑cp27m‑win32.whl
- pylzma‑0.4.9‑cp27‑cp27m‑win_amd64.whl
- pylzma‑0.4.9‑cp34‑cp34m‑win32.whl
- pylzma‑0.4.9‑cp34‑cp34m‑win_amd64.whl
- pylzma‑0.4.9‑cp35‑cp35m‑win32.whl
- pylzma‑0.4.9‑cp35‑cp35m‑win_amd64.whl
- pylzma‑0.4.9‑cp36‑cp36m‑win32.whl
- pylzma‑0.4.9‑cp36‑cp36m‑win_amd64.whl
- Pymatgen, a library for materials
analysis.- pymatgen‑2017.10.16‑cp27‑cp27m‑win32.whl
- pymatgen‑2017.10.16‑cp27‑cp27m‑win_amd64.whl
- pymatgen‑2017.10.16‑cp34‑cp34m‑win32.whl
- pymatgen‑2017.10.16‑cp34‑cp34m‑win_amd64.whl
- pymatgen‑2017.10.16‑cp35‑cp35m‑win32.whl
- pymatgen‑2017.10.16‑cp35‑cp35m‑win_amd64.whl
- pymatgen‑2017.10.16‑cp36‑cp36m‑win32.whl
- pymatgen‑2017.10.16‑cp36‑cp36m‑win_amd64.whl
- PyMC, a Markov chain Monte Carlo.
Requires numpy+mkl.- pymc‑2.3.6‑cp27‑cp27m‑win32.whl
- pymc‑2.3.6‑cp27‑cp27m‑win_amd64.whl
- pymc‑2.3.6‑cp34‑cp34m‑win32.whl
- pymc‑2.3.6‑cp34‑cp34m‑win_amd64.whl
- pymc‑2.3.6‑cp35‑cp35m‑win32.whl
- pymc‑2.3.6‑cp35‑cp35m‑win_amd64.whl
- pymc‑2.3.6‑cp36‑cp36m‑win32.whl
- pymc‑2.3.6‑cp36‑cp36m‑win_amd64.whl
- PyMca, a toolkit for X-ray fluorescence data analysis.
- PyMca‑4.7.4‑cp27‑none‑win32.whl
- PyMca‑4.7.4‑cp27‑none‑win_amd64.whl
- pymca‑5.1.2‑py2.py3‑none‑any.whl
- PyMca5‑5.1.2‑cp27‑cp27m‑win32.whl
- PyMca5‑5.1.2‑cp27‑cp27m‑win_amd64.whl
- PyMca5‑5.1.2‑cp35‑cp35m‑win32.whl
- PyMca5‑5.1.2‑cp35‑cp35m‑win_amd64.whl
- PyMca5‑5.1.2‑cp36‑cp36m‑win32.whl
- PyMca5‑5.1.2‑cp36‑cp36m‑win_amd64.whl
- PyMCMC, a Markov chain Monte
Carlo.
Requires numpy+mkl. - PyMCubes, is an implementation of the marching
cubes algorithm to extract isosurfaces from volumetric data.- PyMCubes‑0.0.6‑cp27‑cp27m‑win32.whl
- PyMCubes‑0.0.6‑cp27‑cp27m‑win_amd64.whl
- PyMCubes‑0.0.6‑cp34‑cp34m‑win32.whl
- PyMCubes‑0.0.6‑cp34‑cp34m‑win_amd64.whl
- PyMCubes‑0.0.6‑cp35‑cp35m‑win32.whl
- PyMCubes‑0.0.6‑cp35‑cp35m‑win_amd64.whl
- PyMCubes‑0.0.6‑cp36‑cp36m‑win32.whl
- PyMCubes‑0.0.6‑cp36‑cp36m‑win_amd64.whl
- PyMedia, a module for media files manipulations.
- PyMetis, a wrapper for theMETIS graph
partitioning software.- PyMetis‑2016.2‑cp27‑cp27m‑win32.whl
- PyMetis‑2016.2‑cp27‑cp27m‑win_amd64.whl
- PyMetis‑2016.2‑cp34‑cp34m‑win32.whl
- PyMetis‑2016.2‑cp34‑cp34m‑win_amd64.whl
- PyMetis‑2016.2‑cp35‑cp35m‑win32.whl
- PyMetis‑2016.2‑cp35‑cp35m‑win_amd64.whl
- PyMetis‑2016.2‑cp36‑cp36m‑win32.whl
- PyMetis‑2016.2‑cp36‑cp36m‑win_amd64.whl
- PyMinuit provides an interface to Minuit
for minimizing general N-dimensional functions.- pyMinuit‑1.2.1‑cp27‑cp27m‑win32.whl
- pyMinuit‑1.2.1‑cp27‑cp27m‑win_amd64.whl
- pyMinuit‑1.2.1‑cp34‑cp34m‑win32.whl
- pyMinuit‑1.2.1‑cp34‑cp34m‑win_amd64.whl
- pyMinuit‑1.2.1‑cp35‑cp35m‑win32.whl
- pyMinuit‑1.2.1‑cp35‑cp35m‑win_amd64.whl
- pyMinuit‑1.2.1‑cp36‑cp36m‑win32.whl
- pyMinuit‑1.2.1‑cp36‑cp36m‑win_amd64.whl
- PyMix implements algorithms and data structures
for data mining applications. - PyMOL, a molecular visualization product
for rendering and animating 3D molecular structures.
转载自:https://blog.csdn.net/a8039974/article/details/78482201