> ## Documentation Index
> Fetch the complete documentation index at: https://anaconda.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Anaconda Distribution 1.x release notes
Fixes:
* updated to openssl 1.0.1g on Unix to fix the “Heartbleed bug” of the
TLS Heartbeat Extension problem (reported in the news)
* fixed /D option in silent mode for Windows installer
Updates:
* openssl from 1.0.1c to 1.0.1g
* conda from 3.0.6 to 3.4.1
* conda-build from 1.2.0 to 1.3.1
Included in installer
| \* apptools 4.2.1 \* argcomplete 0.6.7 \* astropy 0.3.0 \* atom 0.3.7 \* beautiful-soup 4.3.1 \* binstar 0.4.4 \* biopython 1.63 \* bitarray 0.8.1 \* blaze 0.4.2 \* blz 0.6.1 \* bokeh 0.4.1 \* boto 2.25.0 \* cairo 1.12.2 *L* \* casuarius 1.1 \* cdecimal 2.3 \* chaco 4.4.1 \* colorama 0.2.7 \* conda 3.4.1 \* conda-build 1.3.1 \* configobj 4.7.2 \* cubes 0.10.2 \* curl 7.30.0 *LM* \* cython 0.20.1 \* datashape 0.1.1 \* dateutil 2.1 \* disco 0.4.4 *L* \* docutils 0.11 \* dynd-python 0.6.1 \* enable 4.3.0 \* enaml 0.9.1 \* envisage 4.4.0 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 |
\* future 0.11.2 \* gevent 1.0 \* gevent-websocket 0.9.2 \* gevent\_zeromq 0.2.5 \* greenlet 0.4.2 \* grin 1.2.1 \* h5py 2.2.1 \* hdf5 1.8.9 \* ipython 1.1.0 \* itsdangerous 0.23 \* jinja2 2.7.2 \* keyring 3.3 \* kiwisolver 0.1.2 \* launcher 0.1.2 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libsodium 0.4.5 *L* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmpy 0.12.3 \* lxml 3.3.1 \* markupsafe 0.18 \* matplotlib 1.3.1 \* mayavi 4.3.1 \* mdp 3.3 \* menuinst 1.0.3 *W* \* mingw 4.7 *W* \* mock 1.0.1 \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.8 *LM* \* networkx 1.8.1 |
\* nltk 2.0.4 \* nose 1.3.0 \* numba 0.12.1 \* numexpr 2.3.1 \* numpy 1.8.0 \* opencv 2.4.6 *L* \* openpyxl 1.8.2 \* openssl 1.0.1g *LM* \* pandas 0.13.1 \* patsy 0.2.1 \* pep8 1.4.6 \* pil 1.1.7 \* pip 1.5.2 \* ply 3.4 \* psutil 1.2.1 \* py 1.4.20 \* py2cairo 1.10.0 *L* \* pyaudio 0.2.7 *M* \* pycosat 0.6.0 \* pycparser 2.10 \* pycrypto 2.6.1 \* pycurl 7.19.0 *LM* \* pyface 4.4.0 \* pyflakes 0.7.3 \* pygments 1.6 \* pykit 0.2.0 \* pyparsing 2.0.1 \* pyreadline 2.0 *W* \* pysal 1.6.0 \* pysam 0.6 *LM* \* pyside 1.2.1 \* pytables 3.1.0 \* pytest 2.5.2 \* python 2.7.6 |
\* pytz 2013b \* pywin32 218.4 *W* \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* qt 4.8.5 \* redis 2.6.9 *LM* \* redis-py 2.9.1 *LM* \* requests 2.2.1 \* rope 0.9.4 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.3 \* setuptools 2.2 \* six 1.5.2 \* sphinx 1.2.1 \* spyder 2.2.5 \* sqlalchemy 0.9.2 \* ssl\_match\_hostname 3.4.0.2 \* statsmodels 0.5.0 \* sympy 0.7.4.1 \* theano 0.6.0 *L* \* tk 8.5.13 *LM* \* tornado 3.2.0 \* traits 4.4.0 \* traitsui 4.4.0 \* ujson 1.33 \* vtk 5.10.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlsxwriter 0.5.2 \* xlwt 0.7.5 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Available through conda
| \* argcomplete 0.6.7 \* astropy 0.3.0 \* beautiful-soup 4.3.1 \* bitarray 0.8.1 \* blaze 0.4.2 \* blz 0.6.1 \* bokeh 0.4.1 \* cdecimal 2.3 \* colorama 0.2.7 \* curl 7.30.0 *LM* \* cython 0.20.1 \* datashape 0.1.1 \* dateutil 2.1 \* docutils 0.11 \* dynd-python 0.6.1 \* flask 0.10.1 \* freetype 2.4.10 \* future 0.11.2 \* greenlet 0.4.2 \* h5py 2.2.1 \* hdf5 1.8.9 \* ipython 1.1.0 \* itsdangerous 0.23 |
\* jinja2 2.7.2 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libsodium 0.4.5 *L* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmpy 0.12.3 \* lxml 3.3.1 \* markupsafe 0.18 \* matplotlib 1.3.1 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mock 1.0.1 \* netcdf4 1.0.8 *LM* \* networkx 1.8.1 \* nose 1.3.0 \* numba 0.12.1 \* numexpr 2.3.1 \* numpy 1.8.0 \* openpyxl 1.8.2 \* openssl 1.0.1g *LM* |
\* pandas 0.13.1 \* patsy 0.2.1 \* pillow 2.1.0 \* pip 1.5.2 \* ply 3.4 \* psutil 1.2.1 \* py 1.4.20 \* pycosat 0.6.0 \* pycparser 2.10 \* pycrypto 2.6.1 \* pyflakes 0.7.3 \* pygments 1.6 \* pykit 0.2.0 \* pyparsing 2.0.1 \* pyreadline 2.0 *W* \* pyside 1.2.1 *W* \* pytables 3.1.0 \* pytest 2.5.2 \* python 3.3.4 \* pytz 2013b \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* redis 2.6.9 *LM* |
\* redis-py 2.9.1 *LM* \* requests 2.2.1 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.3 \* setuptools 2.2 \* six 1.5.2 \* sphinx 1.2.1 \* sqlalchemy 0.9.2 \* ssl\_match\_hostname 3.4.0.2 \* statsmodels 0.5.0 \* sympy 0.7.4.1 \* tk 8.5.13 *LM* \* tornado 3.2.0 \* ujson 1.33 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlsxwriter 0.5.2 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Available through conda
| \* argcomplete 0.6.7 \* argparse 1.2.1 \* astropy 0.3.0 \* atom 0.3.7 \* beautiful-soup 4.3.1 \* biopython 1.63 \* bitarray 0.8.1 \* blaze 0.4.2 *LM* \* blz 0.6.1 \* boto 2.25.0 \* cairo 1.12.2 *L* \* casuarius 1.1 \* cdecimal 2.3 \* colorama 0.2.7 \* configobj 4.7.2 \* curl 7.30.0 *LM* \* cython 0.20.1 \* datashape 0.1.1 \* dateutil 2.1 \* disco 0.4.4 *L* \* docutils 0.11 \* dynd-python 0.6.1 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 \* future 0.11.2 \* gevent 1.0 \* gevent-websocket 0.9.2 \* gevent\_zeromq 0.2.5 |
\* greenlet 0.4.2 \* grin 1.2.1 \* h5py 2.2.1 \* hdf5 1.8.9 \* ipython 1.1.0 \* itsdangerous 0.23 \* jinja2 2.7.2 \* kiwisolver 0.1.2 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libsodium 0.4.5 *L* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmpy 0.12.3 \* lxml 3.3.1 \* markupsafe 0.18 \* matplotlib 1.3.1 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mock 1.0.1 \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.8 *LM* \* networkx 1.8.1 \* nltk 2.0.4 \* nose 1.3.0 \* numba 0.12.1 |
\* numexpr 2.3.1 \* numpy 1.8.0 \* opencv 2.4.6 *L* \* openssl 1.0.1g *LM* \* ordereddict 1.1 \* pandas 0.13.1 \* patsy 0.2.1 \* pep8 1.4.6 \* pil 1.1.7 \* pip 1.5.2 \* ply 3.4 \* psutil 1.2.1 \* py 1.4.20 \* py2cairo 1.10.0 *L* \* pycosat 0.6.0 \* pycparser 2.10 \* pycrypto 2.6.1 \* pycurl 7.19.0 *LM* \* pyflakes 0.7.3 \* pygments 1.6 \* pykit 0.2.0 \* pyparsing 2.0.1 \* pyreadline 2.0 *W* \* pysam 0.6 *LM* \* pytables 3.1.0 *LM* \* pytest 2.5.2 \* python 2.6.9 \* pytz 2013b \* pyyaml 3.10 |
\* pyzmq 2.2.0.1 \* redis 2.6.9 *LM* \* redis-py 2.9.1 *LM* \* requests 2.2.1 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.3 \* setuptools 2.2 \* six 1.5.2 \* sphinx 1.2.1 \* sqlalchemy 0.9.2 \* ssl\_match\_hostname 3.4.0.2 \* statsmodels 0.5.0 \* sympy 0.7.4.1 \* theano 0.6.0 *L* \* tk 8.5.13 *LM* \* tornado 3.2.0 \* traits 4.4.0 \* ujson 1.33 \* unittest2 0.5.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlsxwriter 0.5.2 \* xlwt 0.7.5 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Fixes:
* openpyxl to depend on up-to-date version of lxml
* added missing MSVCP (both for 2008 and 2010) DLLs to Windows installers
which fixes issues with the user install mode on some systems
Updates:
* conda from 3.0.3 to 3.0.6
* conda-build from 1.1.0 to 1.2.0
* numba from 0.12.0 to 0.12.1
* pandas from 0.13.0 to 0.13.1
* python from 3.3.3 to 3.3.4
Added:
* added Py3k support for h5py
* netcdf4 on 32-bit Windows
* xlsxwriter 0.5.2
Included in installer
| \* apptools 4.2.1 \* argcomplete 0.6.7 \* astropy 0.3.0 \* atom 0.3.7 \* beautiful-soup 4.3.1 \* binstar 0.4.4 \* biopython 1.63 \* bitarray 0.8.1 \* blaze 0.4.2 \* blz 0.6.1 \* bokeh 0.4.1 \* boto 2.25.0 \* cairo 1.12.2 *L* \* casuarius 1.1 \* cdecimal 2.3 \* chaco 4.4.1 \* colorama 0.2.7 \* conda 3.0.6 \* conda-build 1.2.0 \* configobj 4.7.2 \* cubes 0.10.2 \* curl 7.30.0 *LM* \* cython 0.20.1 \* datashape 0.1.1 \* dateutil 2.1 \* disco 0.4.4 *L* \* docutils 0.11 \* dynd-python 0.6.1 \* enable 4.3.0 \* enaml 0.9.1 \* envisage 4.4.0 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 |
\* future 0.11.2 \* gevent 1.0 \* gevent-websocket 0.9.2 \* gevent\_zeromq 0.2.5 \* greenlet 0.4.2 \* grin 1.2.1 \* h5py 2.2.1 \* hdf5 1.8.9 \* ipython 1.1.0 \* itsdangerous 0.23 \* jinja2 2.7.2 \* keyring 3.3 \* kiwisolver 0.1.2 \* launcher 0.1.2 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libsodium 0.4.5 *L* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmpy 0.12.3 \* lxml 3.3.1 \* markupsafe 0.18 \* matplotlib 1.3.1 \* mayavi 4.3.1 \* mdp 3.3 \* menuinst 1.0.3 *W* \* mingw 4.7 *W* \* mock 1.0.1 \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.8 *LM* \* networkx 1.8.1 |
\* nltk 2.0.4 \* nose 1.3.0 \* numba 0.12.1 \* numexpr 2.3.1 \* numpy 1.8.0 \* opencv 2.4.6 *L* \* openpyxl 1.8.2 \* openssl 1.0.1c *LM* \* pandas 0.13.1 \* patsy 0.2.1 \* pep8 1.4.6 \* pil 1.1.7 \* pip 1.5.2 \* ply 3.4 \* psutil 1.2.1 \* py 1.4.20 \* py2cairo 1.10.0 *L* \* pyaudio 0.2.7 *M* \* pycosat 0.6.0 \* pycparser 2.10 \* pycrypto 2.6.1 \* pycurl 7.19.0 *LM* \* pyface 4.4.0 \* pyflakes 0.7.3 \* pygments 1.6 \* pykit 0.2.0 \* pyparsing 2.0.1 \* pyreadline 2.0 *W* \* pysal 1.6.0 \* pysam 0.6 *LM* \* pyside 1.2.1 \* pytables 3.1.0 \* pytest 2.5.2 \* python 2.7.6 |
\* pytz 2013b \* pywin32 218.4 *W* \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* qt 4.8.5 \* redis 2.6.9 *LM* \* redis-py 2.9.1 *LM* \* requests 2.2.1 \* rope 0.9.4 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.3 \* setuptools 2.2 \* six 1.5.2 \* sphinx 1.2.1 \* spyder 2.2.5 \* sqlalchemy 0.9.2 \* ssl\_match\_hostname 3.4.0.2 \* statsmodels 0.5.0 \* sympy 0.7.4.1 \* theano 0.6.0 *L* \* tk 8.5.13 *LM* \* tornado 3.2.0 \* traits 4.4.0 \* traitsui 4.4.0 \* ujson 1.33 \* vtk 5.10.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlsxwriter 0.5.2 \* xlwt 0.7.5 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Available through conda
| \* argcomplete 0.6.7 \* astropy 0.3.0 \* beautiful-soup 4.3.1 \* bitarray 0.8.1 \* blaze 0.4.2 \* blz 0.6.1 \* bokeh 0.4.1 \* cdecimal 2.3 \* colorama 0.2.7 \* curl 7.30.0 *LM* \* cython 0.20.1 \* datashape 0.1.1 \* dateutil 2.1 \* docutils 0.11 \* dynd-python 0.6.1 \* flask 0.10.1 \* freetype 2.4.10 \* future 0.11.2 \* greenlet 0.4.2 \* h5py 2.2.1 \* hdf5 1.8.9 \* ipython 1.1.0 \* itsdangerous 0.23 |
\* jinja2 2.7.2 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libsodium 0.4.5 *L* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmpy 0.12.3 \* lxml 3.3.1 \* markupsafe 0.18 \* matplotlib 1.3.1 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mock 1.0.1 \* netcdf4 1.0.8 *LM* \* networkx 1.8.1 \* nose 1.3.0 \* numba 0.12.1 \* numexpr 2.3.1 \* numpy 1.8.0 \* openpyxl 1.8.2 \* openssl 1.0.1c *LM* |
\* pandas 0.13.1 \* patsy 0.2.1 \* pillow 2.1.0 \* pip 1.5.2 \* ply 3.4 \* psutil 1.2.1 \* py 1.4.20 \* pycosat 0.6.0 \* pycparser 2.10 \* pycrypto 2.6.1 \* pyflakes 0.7.3 \* pygments 1.6 \* pykit 0.2.0 \* pyparsing 2.0.1 \* pyreadline 2.0 *W* \* pyside 1.2.1 *W* \* pytables 3.1.0 \* pytest 2.5.2 \* python 3.3.4 \* pytz 2013b \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* redis 2.6.9 *LM* |
\* redis-py 2.9.1 *LM* \* requests 2.2.1 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.3 \* setuptools 2.2 \* six 1.5.2 \* sphinx 1.2.1 \* sqlalchemy 0.9.2 \* ssl\_match\_hostname 3.4.0.2 \* statsmodels 0.5.0 \* sympy 0.7.4.1 \* tk 8.5.13 *LM* \* tornado 3.2.0 \* ujson 1.33 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlsxwriter 0.5.2 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Available through conda
| \* argcomplete 0.6.7 \* argparse 1.2.1 \* astropy 0.3.0 \* atom 0.3.7 \* beautiful-soup 4.3.1 \* biopython 1.63 \* bitarray 0.8.1 \* blaze 0.4.2 *LM* \* blz 0.6.1 \* boto 2.25.0 \* cairo 1.12.2 *L* \* casuarius 1.1 \* cdecimal 2.3 \* colorama 0.2.7 \* configobj 4.7.2 \* curl 7.30.0 *LM* \* cython 0.20.1 \* datashape 0.1.1 \* dateutil 2.1 \* disco 0.4.4 *L* \* docutils 0.11 \* dynd-python 0.6.1 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 \* future 0.11.2 \* gevent 1.0 \* gevent-websocket 0.9.2 \* gevent\_zeromq 0.2.5 |
\* greenlet 0.4.2 \* grin 1.2.1 \* h5py 2.2.1 \* hdf5 1.8.9 \* ipython 1.1.0 \* itsdangerous 0.23 \* jinja2 2.7.2 \* kiwisolver 0.1.2 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libsodium 0.4.5 *L* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmpy 0.12.3 \* lxml 3.3.1 \* markupsafe 0.18 \* matplotlib 1.3.1 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mock 1.0.1 \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.8 *LM* \* networkx 1.8.1 \* nltk 2.0.4 \* nose 1.3.0 \* numba 0.12.1 |
\* numexpr 2.3.1 \* numpy 1.8.0 \* opencv 2.4.6 *L* \* openssl 1.0.1c *LM* \* ordereddict 1.1 \* pandas 0.13.1 \* patsy 0.2.1 \* pep8 1.4.6 \* pil 1.1.7 \* pip 1.5.2 \* ply 3.4 \* psutil 1.2.1 \* py 1.4.20 \* py2cairo 1.10.0 *L* \* pycosat 0.6.0 \* pycparser 2.10 \* pycrypto 2.6.1 \* pycurl 7.19.0 *LM* \* pyflakes 0.7.3 \* pygments 1.6 \* pykit 0.2.0 \* pyparsing 2.0.1 \* pyreadline 2.0 *W* \* pysam 0.6 *LM* \* pytables 3.1.0 *LM* \* pytest 2.5.2 \* python 2.6.9 \* pytz 2013b \* pyyaml 3.10 |
\* pyzmq 2.2.0.1 \* redis 2.6.9 *LM* \* redis-py 2.9.1 *LM* \* requests 2.2.1 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.3 \* setuptools 2.2 \* six 1.5.2 \* sphinx 1.2.1 \* sqlalchemy 0.9.2 \* ssl\_match\_hostname 3.4.0.2 \* statsmodels 0.5.0 \* sympy 0.7.4.1 \* theano 0.6.0 *L* \* tk 8.5.13 *LM* \* tornado 3.2.0 \* traits 4.4.0 \* ujson 1.33 \* unittest2 0.5.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlsxwriter 0.5.2 \* xlwt 0.7.5 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Highlights:
* NumPy updated to version 1.8
* updates to about 35 packages, including Bokeh and Blaze
* added 10 new packages
Enhancements:
* use MSVC 2010 to compile Python 3 and C extensions on Windows
* remove distribute in favor of setuptools
* enable threadsafe when building HDF5 on Linux
* renamed the Python Imaging Library (PIL) from imaging to pil
* updated EULA
Fixes:
* ssl bindings in Python standard library on macOS
* Windows installers not working properly when PYTHONHOME is set
Updated:
* conda from 2.0.4 to 3.0.3
* numba from 0.11.0 to 0.12.0
* numpy from 1.7.1 to 1.8.0
* pandas from 0.12.0 to 0.13.0
* python from 2.7.5 to 2.7.6
* requests 1.2.3 to 2.2.1
* scipy from 0.13.0 to 0.13.2
* sympy from 0.7.3 to 0.7.4.1
Added:
* argcomplete 0.6.7
* blz 0.6.1
* cdecimal 2.3
* conda-build 1.1.0
* datashape 0.1.0
* future 0.11.2
* kiwisolver 0.1.2
* mock 1.0.1
* setuptools 2.1
* ssl\_match\_hostname 3.4.0.2
* ujson 1.33
* scikit-learn and redis-py support for Python 3
* added traits and unittest2 support for Python 2.6
Removed:
* distribute
* llvmmath
* meta
Included in installer
| \* apptools 4.2.1 \* argcomplete 0.6.7 \* astropy 0.3.0 \* atom 0.3.6 \* beautiful-soup 4.3.1 \* binstar 0.4.4 \* biopython 1.63 \* bitarray 0.8.1 \* blaze 0.4.1 \* blz 0.6.1 \* bokeh 0.4 \* boto 2.24.0 \* cairo 1.12.2 *L* \* casuarius 1.1 \* cdecimal 2.3 \* chaco 4.4.1 \* colorama 0.2.7 \* conda 3.0.3 \* conda-build 1.1.0 \* configobj 4.7.2 \* cubes 0.10.2 \* curl 7.30.0 *LM* \* cython 0.20 \* datashape 0.1.0 \* dateutil 2.1 \* disco 0.4.4 *L* \* docutils 0.11 \* dynd-python 0.6.0 \* enable 4.3.0 \* enaml 0.9.0 \* envisage 4.4.0 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 |
\* future 0.11.2 \* gevent 1.0 \* gevent-websocket 0.9.2 \* gevent\_zeromq 0.2.5 \* greenlet 0.4.2 \* grin 1.2.1 \* h5py 2.2.1 \* hdf5 1.8.9 \* ipython 1.1.0 \* itsdangerous 0.23 \* jinja2 2.7.2 \* keyring 3.3 \* kiwisolver 0.1.2 \* launcher 0.1.2 \* libdynd 0.6.0 *LM* \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libsodium 0.4.5 *L* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmpy 0.12.2 \* lxml 3.2.3 \* markupsafe 0.18 \* matplotlib 1.3.1 \* mayavi 4.3.1 \* mdp 3.3 \* menuinst 1.0.3 *W* \* mingw 4.7 *W* \* mock 1.0.1 \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.7 *LM* |
\* networkx 1.8.1 \* nltk 2.0.4 \* nose 1.3.0 \* numba 0.12.0 \* numexpr 2.3.0 \* numpy 1.8.0 \* opencv 2.4.6 *L* \* openpyxl 1.8.2 \* openssl 1.0.1c *LM* \* pandas 0.13.0 \* patsy 0.2.1 \* pep8 1.4.6 \* pil 1.1.7 \* pip 1.5.2 \* ply 3.4 \* psutil 1.2.1 \* py 1.4.20 \* py2cairo 1.10.0 *L* \* pyaudio 0.2.7 *M* \* pycosat 0.6.0 \* pycparser 2.10 \* pycrypto 2.6.1 \* pycurl 7.19.0 *LM* \* pyface 4.4.0 \* pyflakes 0.7.3 \* pygments 1.6 \* pykit 0.1.0 \* pyparsing 2.0.1 \* pyreadline 2.0 *W* \* pysal 1.6.0 \* pysam 0.6 *LM* \* pyside 1.2.1 \* pytables 3.1.0 \* pytest 2.5.2 |
\* python 2.7.6 \* pytz 2013b \* pywin32 218.4 *W* \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* qt 4.8.5 \* redis 2.6.9 *LM* \* redis-py 2.9.1 *LM* \* requests 2.2.1 \* rope 0.9.4 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.3 \* setuptools 2.1 \* six 1.5.2 \* sphinx 1.2.1 \* spyder 2.2.5 \* sqlalchemy 0.9.2 \* ssl\_match\_hostname 3.4.0.2 \* statsmodels 0.5.0 \* sympy 0.7.4.1 \* theano 0.6.0 *L* \* tk 8.5.13 *LM* \* tornado 3.2.0 \* traits 4.4.0 \* traitsui 4.4.0 \* ujson 1.33 \* vtk 5.10.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlwt 0.7.5 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Available through conda
| \* argcomplete 0.6.7 \* astropy 0.3.0 \* beautiful-soup 4.3.1 \* bitarray 0.8.1 \* blaze 0.4.1 \* blz 0.6.1 \* bokeh 0.4 \* cdecimal 2.3 \* colorama 0.2.7 \* curl 7.30.0 *LM* \* cython 0.20 \* datashape 0.1.0 \* dateutil 2.1 \* docutils 0.11 \* dynd-python 0.6.0 \* flask 0.10.1 \* freetype 2.4.10 \* future 0.11.2 \* greenlet 0.4.2 \* hdf5 1.8.9 \* ipython 1.1.0 \* itsdangerous 0.23 |
\* jinja2 2.7.2 \* libdynd 0.6.0 *LM* \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libsodium 0.4.5 *L* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmpy 0.12.2 \* lxml 3.2.3 \* markupsafe 0.18 \* matplotlib 1.3.1 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mock 1.0.1 \* netcdf4 1.0.7 *LM* \* networkx 1.8.1 \* nose 1.3.0 \* numba 0.12.0 \* numexpr 2.3.0 \* numpy 1.8.0 |
\* openpyxl 1.8.2 \* pandas 0.13.0 \* patsy 0.2.1 \* pillow 2.1.0 \* pip 1.5.2 \* ply 3.4 \* psutil 1.2.1 \* py 1.4.20 \* pycosat 0.6.0 \* pycparser 2.10 \* pycrypto 2.6.1 \* pyflakes 0.7.3 \* pygments 1.6 \* pykit 0.1.0 \* pyparsing 2.0.1 \* pyreadline 2.0 *W* \* pyside 1.1.2 *W* \* pytables 3.1.0 \* pytest 2.5.2 \* python 3.3.3 \* pytz 2013b \* pyyaml 3.10 |
\* pyzmq 2.2.0.1 \* redis 2.6.9 *LM* \* redis-py 2.9.1 *LM* \* requests 2.2.1 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.3 \* setuptools 2.1 \* six 1.5.2 \* sphinx 1.2.1 \* sqlalchemy 0.9.2 \* ssl\_match\_hostname 3.4.0.2 \* statsmodels 0.5.0 \* sympy 0.7.4.1 \* tornado 3.2.0 \* ujson 1.33 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Available through conda
| \* argcomplete 0.6.7 \* argparse 1.2.1 \* astropy 0.3.0 \* atom 0.3.6 \* beautiful-soup 4.3.1 \* biopython 1.63 \* bitarray 0.8.1 \* blaze 0.4.1 \* blz 0.6.1 \* boto 2.24.0 \* cairo 1.12.2 *L* \* casuarius 1.1 \* cdecimal 2.3 \* colorama 0.2.7 \* configobj 4.7.2 \* curl 7.30.0 *LM* \* cython 0.20 \* datashape 0.1.0 \* dateutil 2.1 \* disco 0.4.4 *L* \* docutils 0.11 \* dynd-python 0.6.0 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 \* future 0.11.2 \* gevent 1.0 \* gevent-websocket 0.9.2 |
\* gevent\_zeromq 0.2.5 \* greenlet 0.4.2 \* grin 1.2.1 \* h5py 2.2.1 \* hdf5 1.8.9 \* ipython 1.1.0 \* itsdangerous 0.23 \* jinja2 2.7.2 \* kiwisolver 0.1.2 \* libdynd 0.6.0 *LM* \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libsodium 0.4.5 *L* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmpy 0.12.2 \* lxml 3.2.3 \* markupsafe 0.18 \* matplotlib 1.3.1 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mock 1.0.1 \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.7 *LM* \* networkx 1.8.1 |
\* nltk 2.0.4 \* nose 1.3.0 \* numba 0.12.0 \* numexpr 2.3.0 \* numpy 1.8.0 \* opencv 2.4.6 *L* \* ordereddict 1.1 \* pandas 0.13.0 \* patsy 0.2.1 \* pep8 1.4.6 \* pil 1.1.7 \* pip 1.5.2 \* ply 3.4 \* psutil 1.2.1 \* py 1.4.20 \* py2cairo 1.10.0 *L* \* pycosat 0.6.0 \* pycparser 2.10 \* pycrypto 2.6.1 \* pycurl 7.19.0 *LM* \* pyflakes 0.7.3 \* pygments 1.6 \* pykit 0.1.0 \* pyparsing 2.0.1 \* pyreadline 2.0 *W* \* pysam 0.6 *LM* \* pytables 3.1.0 *LM* \* pytest 2.5.2 |
\* python 2.6.9 \* pytz 2013b \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* redis 2.6.9 *LM* \* redis-py 2.9.1 *LM* \* requests 2.2.1 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.3 \* setuptools 2.1 \* six 1.5.2 \* sphinx 1.2.1 \* sqlalchemy 0.9.2 \* ssl\_match\_hostname 3.4.0.2 \* statsmodels 0.5.0 \* sympy 0.7.4.1 \* theano 0.6.0 *L* \* tornado 3.2.0 \* traits 4.4.0 \* ujson 1.33 \* unittest2 0.5.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlwt 0.7.5 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Enhancements:
* on Windows the installer now allows installing in user mode without
having system administrator privileges
* use RPATH (instead of RUNPATH) on Linux, which fixes link problems when
LD\_LIBRARY\_PATH is set
* added ipython-notebook meta package for all supported Python versions
* removed curl binary on macOS, to avoid superseding system curl
Fixes:
* wrong location of VTK libraries in VTKTargets-debug.cmake on Linux
* fix python.app problem related to adding the symlink to lib, which also
appears to create problems with %%cython magic in ipython
* apply patch to Mayavi, which foxes running mlab scripts
Updated:
* conda from 1.9.1 to 2.0.4
* ipython 1.0.0 to 1.1.0
* matplotlib from 1.3.0 to 1.3.1
* numba from 0.10.2 to 0.11.0
* scikit-image from 0.8.2 to 0.9.3
* scipy from 0.12.0 to 0.13.0
* sypder from 2.2.4 to 2.2.5
Added:
* blaze 0.3
* pykit 0.1
* beautiful-soup 4.3.1
* openpyxl 1.6.2
Included in installer
| \* apptools 4.2.0 \* astropy 0.2.5 \* atom 0.3.4 \* beautiful-soup 4.3.1 \* binstar 0.3.1 \* biopython 1.62 \* bitarray 0.8.1 \* blaze 0.3 \* bokeh 0.2 \* boto 2.15.0 \* cairo 1.12.2 *L* \* casuarius 1.1 \* chaco 4.3.0 \* colorama 0.2.7 \* configobj 4.7.2 \* cubes 0.10.2 \* curl 7.30.0 *LM* \* cython 0.19.2 \* dateutil 2.1 \* disco 0.4.4 *L* \* distribute 0.6.45 \* docutils 0.11 \* dynd-python 0.5.0 \* enable 4.3.0 \* enaml 0.8.3 \* envisage 4.3.0 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 \* gevent 0.13.8 \* gevent-websocket 0.3.6 |
\* gevent\_zeromq 0.2.5 \* greenlet 0.4.1 \* grin 1.2.1 \* h5py 2.2.0 \* hdf5 1.8.9 \* imaging 1.1.7 \* ipython 1.1.0 \* itsdangerous 0.23 \* jinja2 2.7.1 \* keyring 3.2 \* launcher 0.1.2 \* libevent 2.0.20 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmmath 0.1.1 \* llvmpy 0.12.0 \* lxml 3.2.3 \* markupsafe 0.18 \* matplotlib 1.3.1 \* mayavi 4.3.0 \* mdp 3.3 \* menuinst 1.0.3 *W* \* meta 0.4.2.dev \* mingw 4.7 *W* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.6 *LM* |
\* networkx 1.8.1 \* nltk 2.0.4 \* nose 1.3.0 \* numba 0.11.0 \* numexpr 2.2.2 \* numpy 1.7.1 \* opencv 2.4.6 *L* \* openpyxl 1.6.2 \* pandas 0.12.0 \* patsy 0.2.1 \* pep8 1.4.6 \* pip 1.4.1 \* ply 3.4 \* psutil 1.1.2 \* py 1.4.17 \* py2cairo 1.10.0 *L* \* pyaudio 0.2.7 *M* \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6.1 \* pycurl 7.19.0 *LM* \* pyface 4.3.0 \* pyflakes 0.7.3 \* pygments 1.6 \* pykit 0.1.0 \* pyparsing 1.5.6 \* pyreadline 2.0.dev *W* \* pysal 1.6.0 \* pysam 0.6 *LM* \* pyside 1.2.1 \* pytables 3.0.0 |
\* pytest 2.4.2 \* python 2.7.5 \* pytz 2013b \* pywin32 218.4 *W* \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* qt 4.8.5 \* redis 2.6.9 *LM* \* redis-py 2.7.2 *LM* \* requests 1.2.3 \* rope 0.9.4 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.0 \* six 1.4.1 \* sphinx 1.1.3 \* spyder 2.2.5 \* sqlalchemy 0.8.3 \* statsmodels 0.5.0 \* sympy 0.7.3 \* theano 0.5.0 *L* \* tornado 3.1.1 \* traits 4.3.0 \* traitsui 4.3.0 \* vtk 5.10.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlwt 0.7.5 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Available through conda
| \* astropy 0.2.5 \* beautiful-soup 4.3.1 \* bitarray 0.8.1 \* colorama 0.2.7 \* curl 7.30.0 *LM* \* cython 0.19.2 \* dateutil 2.1 \* distribute 0.6.45 \* docutils 0.11 \* dynd-python 0.5.0 \* flask 0.10.1 \* freetype 2.4.10 \* greenlet 0.4.1 \* hdf5 1.8.9 \* ipython 1.1.0 \* itsdangerous 0.23 \* jinja2 2.7.1 \* libnetcdf 4.2.1.1 *LM* |
\* libpng 1.5.13 *LM* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmmath 0.1.1 \* llvmpy 0.12.0 \* lxml 3.2.3 \* markupsafe 0.18 \* matplotlib 1.3.1 \* mdp 3.3 \* mingw 4.7 *W* \* netcdf4 1.0.6 *LM* \* networkx 1.8.1 \* nose 1.3.0 \* numba 0.11.0 \* numexpr 2.2.2 \* numpy 1.7.1 |
\* openpyxl 1.6.2 \* pandas 0.12.0 \* patsy 0.2.1 \* pillow 2.1.0 \* pip 1.4.1 \* ply 3.4 \* psutil 1.1.2 \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6.1 \* pyflakes 0.7.3 \* pygments 1.6 \* pyparsing 1.5.6 \* pyreadline 2.0.dev *W* \* pyside 1.2.1 *W* \* pytables 3.0.0 \* python 3.3.2 \* pytz 2013b |
\* pyyaml 3.10 \* pyzmq 2.2.0.1 \* requests 1.2.3 \* scikit-image 0.9.3 \* scipy 0.13.0 \* six 1.4.1 \* sphinx 1.1.3 \* sqlalchemy 0.8.3 \* statsmodels 0.5.0 \* sympy 0.7.3 \* tornado 3.1.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Available through conda
| \* argparse 1.2.1 \* astropy 0.2.5 \* atom 0.3.4 \* beautiful-soup 4.3.1 \* biopython 1.62 \* bitarray 0.8.1 \* boto 2.15.0 \* cairo 1.12.2 *L* \* casuarius 1.1 \* colorama 0.2.7 \* configobj 4.7.2 \* curl 7.30.0 *LM* \* cython 0.19.2 \* dateutil 2.1 \* disco 0.4.4 *L* \* distribute 0.6.45 \* docutils 0.11 \* dynd-python 0.5.0 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 \* gevent 0.13.8 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 \* greenlet 0.4.1 |
\* grin 1.2.1 \* h5py 2.2.0 \* hdf5 1.8.9 \* imaging 1.1.7 \* ipython 1.1.0 \* itsdangerous 0.23 \* jinja2 2.7.1 \* libevent 2.0.20 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmmath 0.1.1 \* llvmpy 0.12.0 \* lxml 3.2.3 \* markupsafe 0.18 \* matplotlib 1.3.1 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.6 *LM* \* networkx 1.8.1 |
\* nltk 2.0.4 \* nose 1.3.0 \* numba 0.11.0 \* numexpr 2.2.2 \* numpy 1.7.1 \* opencv 2.4.6 *L* \* ordereddict 1.1 \* pandas 0.12.0 \* patsy 0.2.1 \* pep8 1.4.6 \* pip 1.4.1 \* ply 3.4 \* psutil 1.1.2 \* py 1.4.17 \* py2cairo 1.10.0 *L* \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6.1 \* pycurl 7.19.0 *LM* \* pyflakes 0.7.3 \* pygments 1.6 \* pyparsing 1.5.6 \* pyreadline 2.0.dev *W* \* pysam 0.6 *LM* \* pytables 3.0.0 *LM* |
\* pytest 2.4.2 \* python 2.6.9 \* pytz 2013b \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* redis 2.6.9 *LM* \* redis-py 2.7.2 *LM* \* requests 1.2.3 \* scikit-image 0.9.3 \* scikit-learn 0.14.1 \* scipy 0.13.0 \* six 1.4.1 \* sphinx 1.1.3 \* sqlalchemy 0.8.3 \* statsmodels 0.5.0 \* sympy 0.7.3 *LM* \* theano 0.5.0 *L* \* tornado 3.1.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlwt 0.7.5 \* yaml 0.1.4 *LM* \* zeromq 2.2.0 *LM* \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Highlights:
* added VTK, Mayavi, and Bokeh
* updated to new ipython 1.0 and matplotlib 1.3, and llvm 3.3
* many improvements and bug fixes to conda
Enhancements:
* removed conda as a direct anaconda dependency
* add MinGW runtime DLLs to Scripts directory on Windows
* fixed python-dateutil for Python 2
Updated:
* conda from 1.7.2 to 1.9.1
* ipython from 0.13.2 to 1.0.0
* matplotlib from 1.2.1 to 1.3.0
* numba from 0.9.0 to 0.10.2
* pandas from 0.11.0 to 0.12.0
* scikit-learn from 0.13.1 to 0.14.1
* spyder from 2.2.0 to 2.2.4
* sympy from 0.7.2 to 0.7.3
Added:
* bokeh 0.1.1
* chaco 4.3.0
* configobj 4.7.2
* markupsafe 0.18
* mayavi 4.3.0
* patsy 0.2.1
* traits 4.3.0
* vtk 5.10.1
Available in the installer
| \* apptools 4.2.0 \* astropy 0.2.4 \* atom 0.3.2 \* binstar 0.3.1 \* biopython 1.61 \* bitarray 0.8.1 \* bokeh 0.1.1 \* boto 2.12.0 \* cairo 1.12.2 *L* \* casuarius 1.1 \* chaco 4.3.0 \* configobj 4.7.2 \* cubes 0.10.2 \* curl 7.30.0 *LM* \* cython 0.19.1 \* dateutil 2.1 \* disco 0.4.4 *L* \* distribute 0.6.45 \* docutils 0.11 \* dynd-python 0.4.2 \* enable 4.3.0 \* enaml 0.7.19 \* envisage 4.3.0 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 \* gevent 0.13.8 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 |
\* greenlet 0.4.1 \* grin 1.2.1 \* h5py 2.2.0 \* hdf5 1.8.9 \* imaging 1.1.7 \* ipython 1.0.0 \* itsdangerous 0.23 \* jinja2 2.7.1 \* keyring 3.0.1 \* launcher 0.1.2 \* libevent 2.0.20 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmmath 0.1.1 \* llvmpy 0.12.0 \* lxml 3.2.3 \* markupsafe 0.18 \* matplotlib 1.3.0 \* mayavi 4.3.0 \* mdp 3.3 \* menuinst 1.0.1 *W* \* meta 0.4.2.dev \* mingw 4.7 *W* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* |
\* netcdf4 1.0.5 *LM* \* networkx 1.8.1 \* nltk 2.0.4 \* nose 1.3.0 \* numba 0.10.2 \* numexpr 2.0.1 \* numpy 1.7.1 \* opencv 2.4.6 *L* \* pandas 0.12.0 \* patsy 0.2.1 \* pep8 1.4.6 \* pip 1.4.1 \* ply 3.4 \* psutil 1.0.1 \* py 1.4.14 \* py2cairo 1.10.0 *L* \* pyaudio 0.2.7 *M* \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6 \* pycurl 7.19.0 *LM* \* pyface 4.3.0 \* pyflakes 0.7.3 \* pygments 1.6 \* pyparsing 1.5.6 \* pyreadline 2.0.dev *W* \* pysal 1.6.0 \* pysam 0.6 *LM* \* pyside 1.1.2 |
\* pytables 2.4.0 \* pytest 2.3.5 \* python 2.7.5 \* pytz 2013b \* pywin32 218.4 *W* \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* qt 4.7.4 \* redis-py 2.7.2 *LM* \* requests 1.2.3 \* rope 0.9.4 \* scikit-image 0.8.2 \* scikit-learn 0.14.1 \* scipy 0.12.0 \* six 1.4.1 \* sphinx 1.1.3 \* spyder 2.2.4 \* sqlalchemy 0.8.2 \* statsmodels 0.5.0 \* sympy 0.7.3 \* theano 0.5.0 *L* \* tornado 3.1.1 \* traits 4.3.0 \* traitsui 4.3.0 \* vtk 5.10.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlwt 0.7.5 \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Available through conda
| \* astropy 0.2.4 \* bitarray 0.8.1 \* curl 7.30.0 *LM* \* cython 0.19.1 \* dateutil 2.1 \* distribute 0.6.45 \* docutils 0.11 \* dynd-python 0.4.2 \* flask 0.10.1 \* freetype 2.4.10 \* greenlet 0.4.1 \* hdf5 1.8.9 \* ipython 1.0.0 \* itsdangerous 0.23 \* jinja2 2.7.1 \* libnetcdf 4.2.1.1 *LM* |
\* libpng 1.5.13 *LM* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmmath 0.1.1 \* llvmpy 0.12.0 \* lxml 3.2.3 \* markupsafe 0.18 \* matplotlib 1.3.0 \* mdp 3.3 \* mingw 4.7 *W* \* netcdf4 1.0.5 *LM* \* networkx 1.8.1 \* nose 1.3.0 \* numba 0.10.2 |
\* numpy 1.7.1 \* pandas 0.12.0 \* patsy 0.2.1 \* pillow 2.1.0 \* pip 1.4.1 \* ply 3.4 \* psutil 1.0.1 \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6 \* pyflakes 0.7.3 \* pygments 1.6 \* pyparsing 1.5.6 \* pyreadline 2.0.dev *W* \* pyside 1.1.2 *W* \* python 3.3.2 |
\* pytz 2013b \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* requests 1.2.3 \* scikit-image 0.8.2 \* scipy 0.12.0 \* six 1.4.1 \* sphinx 1.1.3 \* sqlalchemy 0.8.2 \* statsmodels 0.5.0 \* sympy 0.7.3 \* tornado 3.1.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* zlib 1.2.7 |
Available through conda
| \* argparse 1.2.1 \* astropy 0.2.4 \* atom 0.3.2 \* biopython 1.61 \* bitarray 0.8.1 \* boto 2.12.0 \* cairo 1.12.2 *L* \* casuarius 1.1 \* configobj 4.7.2 \* curl 7.30.0 *LM* \* cython 0.19.1 \* dateutil 2.1 \* disco 0.4.4 *L* \* distribute 0.6.45 \* docutils 0.11 \* dynd-python 0.4.2 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 \* gevent 0.13.8 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 \* greenlet 0.4.1 \* grin 1.2.1 |
\* h5py 2.2.0 \* hdf5 1.8.9 \* imaging 1.1.7 \* ipython 1.0.0 \* itsdangerous 0.23 \* jinja2 2.7.1 \* libevent 2.0.20 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 *LM* \* libtiff 4.0.2 *LM* \* libxml2 2.9.0 *LM* \* libxslt 1.1.28 *LM* \* llvm 3.3 \* llvmmath 0.1.1 \* llvmpy 0.12.0 \* lxml 3.2.3 \* markupsafe 0.18 \* matplotlib 1.3.0 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.5 *LM* \* networkx 1.8.1 |
\* nltk 2.0.4 \* nose 1.3.0 \* numba 0.10.2 \* numexpr 2.0.1 \* numpy 1.7.1 \* opencv 2.4.6 *L* \* ordereddict 1.1 \* pandas 0.12.0 \* patsy 0.2.1 \* pep8 1.4.6 \* pip 1.4.1 \* ply 3.4 \* psutil 1.0.1 \* py 1.4.14 \* py2cairo 1.10.0 *L* \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6 \* pycurl 7.19.0 *LM* \* pyflakes 0.7.3 \* pygments 1.6 \* pyparsing 1.5.6 \* pyreadline 2.0.dev *W* \* pysam 0.6 *LM* |
\* pytables 2.4.0 *LM* \* pytest 2.3.5 \* python 2.6.8 \* pytz 2013b \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* redis-py 2.7.2 *LM* \* requests 1.2.3 \* scikit-image 0.8.2 \* scikit-learn 0.14.1 \* scipy 0.12.0 \* six 1.4.1 \* sphinx 1.1.3 \* sqlalchemy 0.8.2 \* statsmodels 0.5.0 \* sympy 0.7.3 *LM* \* theano 0.5.0 *L* \* tornado 3.1.1 \* werkzeug 0.9.4 \* xlrd 0.9.2 \* xlwt 0.7.5 \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
* Fixed path being incorrectly appended on Windows during install
* fixed .pkg installer
* updated binstar from 0.1.1 to 0.1.2 (fixes upload on Windows)
* updated conda from 1.7.1 to 1.7.2 (fixes updating python.app on macOS)
* updated dynd from 0.3.0 to 0.4.0
* updated launcher from 0.1.1 to 0.1.2
* added missing pydoc command on Unix
* macOS: fix hard coded build prefix in .dylib files for may other libraries
* Windows: append instead of prepend path on Windows
Included in installer
| \* astropy 0.2.3 \* atom 0.2.3 \* binstar 0.1.2 \* biopython 1.61 \* bitarray 0.8.1 \* boto 2.9.6 \* cairo 1.12.2 *L* \* casuarius 1.1 \* conda 1.7.2 \* cubes 0.10.2 \* curl 7.30.0 *LM* \* cython 0.19.1 \* dateutil 2.1 \* disco 0.4.4 *L* \* distribute 0.6.45 \* docutils 0.10 \* dynd-python 0.4.0 \* enaml 0.7.6 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 \* gevent 0.13.8 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 \* greenlet 0.4.1 |
\* grin 1.2.1 \* h5py 2.1.1 \* hdf5 1.8.9 \* imaging 1.1.7 \* ipython 0.13.2 \* itsdangerous 0.21 \* jinja2 2.6 \* keyring 1.4 \* launcher 0.1.2 \* libevent 2.0.20 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 \* llvm 3.2 \* llvmmath 0.1.0 \* llvmpy 0.11.3 \* lxml 3.2.1 \* matplotlib 1.2.1 \* mdp 3.3 \* menuinst 1.0.1 *W* \* meta 0.4.2.dev \* mingw 4.7 *W* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.4 *LM* \* networkx 1.7 |
\* nltk 2.0.4 \* nose 1.3.0 \* numba 0.9.0 \* numexpr 2.0.1 \* numpy 1.7.1 \* opencv 2.4.2 *L* \* pandas 0.11.0 \* pep8 1.4.5 \* pip 1.3.1 \* ply 3.4 \* psutil 0.7.1 \* py 1.4.14 \* py2cairo 1.10.0 *L* \* pyaudio 0.2.7 *M* \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6 \* pycurl 7.19.0 *LM* \* pyflakes 0.7.2 \* pygments 1.6 \* pyparsing 1.5.6 \* pysal 1.5.0 \* pysam 0.6 *LM* \* pyside 1.1.2 \* pytables 2.4.0 |
\* pytest 2.3.5 \* python 2.7.5 \* pytz 2013b \* pywin32 218.4 *W* \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* qt 4.7.4 \* redis-py 2.7.2 *LM* \* requests 1.2.3 \* rope 0.9.4 \* scikit-image 0.8.2 \* scikit-learn 0.13.1 \* scipy 0.12.0 \* six 1.3.0 \* sphinx 1.1.3 \* spyder 2.2.0 \* sqlalchemy 0.8.1 \* statsmodels 0.4.3 \* sympy 0.7.2 \* theano 0.5.0 *L* \* tornado 3.1 \* werkzeug 0.9.1 \* xlrd 0.9.2 \* xlwt 0.7.5 \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Available through conda
| \* astropy 0.2.3 \* bitarray 0.8.1 \* curl 7.30.0 *LM* \* cython 0.19.1 \* dateutil 2.1 \* distribute 0.6.45 \* docutils 0.10 \* dynd-python 0.4.0 \* freetype 2.4.10 \* greenlet 0.4.1 \* hdf5 1.8.9 \* ipython 0.13.2 \* jinja2 2.6 |
\* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 \* llvm 3.2 \* llvmmath 0.1.0 \* llvmpy 0.11.3 \* lxml 3.2.1 \* matplotlib 1.2.1 \* mdp 3.3 \* mingw 4.7 *W* \* netcdf4 1.0.4 *LM* \* networkx 1.7 \* nose 1.3.0 \* numba 0.9.0 |
\* numpy 1.7.1 \* pandas 0.11.0 \* pip 1.3.1 \* ply 3.4 \* psutil 0.7.1 \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6 \* pyflakes 0.7.2 \* pygments 1.6 \* pyside 1.1.2 *W* \* python 3.3.2 \* pytz 2013b |
\* pyyaml 3.10 \* pyzmq 2.2.0.1 \* requests 1.2.3 \* scikit-image 0.8.2 \* scipy 0.12.0 \* six 1.3.0 \* sphinx 1.1.3 \* sqlalchemy 0.8.1 \* sympy 0.7.2 \* tornado 3.1 \* xlrd 0.9.2 \* zlib 1.2.7 |
Available through conda
| \* argparse 1.2.1 \* astropy 0.2.3 \* atom 0.2.3 \* biopython 1.61 \* bitarray 0.8.1 \* boto 2.9.6 \* cairo 1.12.2 *L* \* casuarius 1.1 \* curl 7.30.0 *LM* \* cython 0.19.1 \* dateutil 2.1 \* disco 0.4.4 *L* \* distribute 0.6.45 \* docutils 0.10 \* dynd-python 0.4.0 \* erlang R15B01 *L* \* flask 0.10.1 \* freetype 2.4.10 \* gevent 0.13.8 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 \* greenlet 0.4.1 |
\* grin 1.2.1 \* h5py 2.1.1 \* hdf5 1.8.9 \* imaging 1.1.7 \* ipython 0.13.2 \* itsdangerous 0.21 \* jinja2 2.6 \* libevent 2.0.20 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 \* llvm 3.2 \* llvmmath 0.1.0 \* llvmpy 0.11.3 \* lxml 3.2.1 \* matplotlib 1.2.1 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.4 *LM* \* networkx 1.7 \* nltk 2.0.4 |
\* nose 1.3.0 \* numba 0.9.0 \* numexpr 2.0.1 \* numpy 1.7.1 \* opencv 2.4.2 *L* \* ordereddict 1.1 \* pandas 0.11.0 \* pep8 1.4.5 \* pip 1.3.1 \* ply 3.4 \* psutil 0.7.1 \* py 1.4.14 \* py2cairo 1.10.0 *L* \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6 \* pycurl 7.19.0 *LM* \* pyflakes 0.7.2 \* pygments 1.6 \* pyparsing 1.5.6 \* pysam 0.6 *LM* \* pytables 2.4.0 *LM* |
\* pytest 2.3.5 \* python 2.6.8 \* pytz 2013b \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* redis-py 2.7.2 *LM* \* requests 1.2.3 \* scikit-image 0.8.2 \* scikit-learn 0.13.1 \* scipy 0.12.0 \* six 1.3.0 \* sphinx 1.1.3 \* sqlalchemy 0.8.1 \* statsmodels 0.4.3 \* sympy 0.7.2 *LM* \* theano 0.5.0 *L* \* tornado 3.1 \* werkzeug 0.9.1 \* xlrd 0.9.2 \* xlwt 0.7.5 \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Highlights:
* the “Launcher”, which allows users to start up applications
* conda has now the ability to build conda packages, which can be
uploaded to binstar.org
* conda now uses a SAT solver to solve the install dependency problem
Enhancements:
* added a .pkg installer for macOS, such that installing Anaconda does
not require command line access
* create copy of .bashrc (.bash\_profile on macOS) before appending the PATH
setting upon install
* Windows Menu items should are now installed system wide
Fixes:
* removed Lib/test/testbz2\_bigmem.bz2 from Windows, this (harmless) file
was triggering Trojan-ArcBomb.BZip.Agent warning, see:
``
* json.decoder in Python 2.7 standard library not using .decode(‘hex’),
this was (mysteriously) causing install problems on macOS
* fixed PIL.\_imagetk on Linux
Updated:
* python from 2.7.4 to 2.7.5, and 3.3.1 to 3.3.2
* conda from 1.5.2 to 1.7.1
* numba from 0.8.1 to 0.9.0
* requests from 1.2.0 to 1.2.3
Added:
* launcher 0.1.1
* binstar 0.1.1
* itsdangerous 0.21
* keyring 1.4
* llvmmath 0.1.0
* pep8 1.4.5
* pywin32 218.4 on Windows
* fixed pip command
* replace spaces by underscore in user install location
* shared libraries now link to /usr/lib/libgcc\_s.1.dylib
(instead of /usr/local/lib/libgcc\_s.1.dylib)
Highlights:
* updates to all important packages: python, numpy, scipy, ipython,
matplotlib, pandas, cython
* added netCDF4 (with OpenDAP support) on Linux and macOS
Fixed:
* Cython on macOS on Python 2.6, due to a problem with Pyhton’s
config/Makefile
* py.test command (all platforms)
* python-config command not using correct interpreter on macOS
* added missing MSVC 2008 and 2010 runtime to Windows installers
* removed hard-coded build location from identification name of dynamic
shared libraries on macOS, to allow easier building against libraries
in Anaconda
Enhancements:
* The Windows installers has a new dialog with the following options:
* “Add Anaconda to the System Path”
* “Register Anaconda as default Python version of the system”
* The Unix installers have an option to add Anaconda to the path in the
\~/.bashrc (on Linux) or \~/.bash\_profile (on macOS). On macOS the
default is ‘yes’, on Linux the default is ‘no’.
* added armv6l supports (only Python 2.7 and selected packages)
* link pycurl and libnetcdf dynamically against curl library on Unix
* add configure option –with-pgm for zeromq on Unix
Updates:
* python from 2.7.3 to 2.7.4, and 3.3.0 to 3.3.1
* numpy from 1.7.0 to 1.7.1
* scipy from 0.11.0 to 0.12.0
* ipython from 0.13.1 to 0.13.2
* matplotlib from 1.2.0 to 1.2.1
* conda from 1.4.4 to 1.5.2
* numba from 0.7.0 to 0.8.1
* pandas from 0.10.1 to 0.11.0
* requests from 0.13.9 to 1.2.0
* scikit-learn from 0.13 to 0.13.1
* spyder from 2.1.13 to 2.2.0
* sympy from 0.7.1 to 0.7.2
Removed (from installer only, still available with conda):
* bitey
* gdata (conflicts with atom (which is required by enaml))
* googlecl (requires gdata)
Included in installer
| \* astropy 0.2.1 \* atom 0.2.3 \* biopython 1.61 \* bitarray 0.8.1 \* boto 2.9.2 \* cairo 1.12.2 *L* \* casuarius 1.1 \* conda 1.5.2 \* cubes 0.10.2 \* curl 7.30.0 *LM* \* cython 0.19 \* dateutil 2.1 \* disco 0.4.4 *L* \* distribute 0.6.36 \* docutils 0.10 \* dynd-python 0.3.0 \* enaml 0.7.6 \* erlang R15B01 *L* \* flask 0.9 \* freetype 2.4.10 \* gevent 0.13.8 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 |
\* greenlet 0.4.0 \* grin 1.2.1 \* h5py 2.1.1 \* hdf5 1.8.9 \* imaging 1.1.7 \* ipython 0.13.2 \* jinja2 2.6 \* libevent 2.0.20 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 \* llvm 3.2 \* llvmpy 0.11.2 \* lxml 3.2.0 \* matplotlib 1.2.1 \* mdp 3.3 \* menuinst 1.0.0 *W* \* meta 0.4.2.dev \* mingw 4.7 *W* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.4 *LM* \* networkx 1.7 \* nltk 2.0.4 |
\* nose 1.3.0 \* numba 0.8.1 \* numexpr 2.0.1 \* numpy 1.7.1 \* opencv 2.4.2 *L* \* pandas 0.11.0 \* pip 1.3.1 \* ply 3.4 \* psutil 0.7.1 \* py 1.4.12 \* py2cairo 1.10.0 *L* \* pyaudio 0.2.7 *M* \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6 \* pycurl 7.19.0 *LM* \* pyflakes 0.7.2 \* pygments 1.6 \* pyparsing 1.5.6 \* pysal 1.5.0 \* pysam 0.6 *LM* \* pyside 1.1.2 \* pytables 2.4.0 |
\* pytest 2.3.4 \* python 2.7.4 \* pytz 2013b \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* qt 4.7.4 \* redis-py 2.7.2 *LM* \* requests 1.2.0 \* scikit-image 0.8.2 \* scikit-learn 0.13.1 \* scipy 0.12.0 \* six 1.3.0 \* sphinx 1.1.3 \* spyder 2.2.0 \* sqlalchemy 0.8.1 \* statsmodels 0.4.3 \* sympy 0.7.2 \* theano 0.5.0 *L* \* tornado 3.0.1 \* werkzeug 0.8.3 \* xlrd 0.9.2 \* xlwt 0.7.5 \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Available through conda
| \* astropy 0.2.1 \* bitarray 0.8.1 \* curl 7.30.0 *LM* \* cython 0.19 \* dateutil 2.1 \* distribute 0.6.36 \* docutils 0.10 \* dynd-python 0.3.0 \* freetype 2.4.10 \* greenlet 0.4.0 \* hdf5 1.8.9 \* ipython 0.13.2 \* jinja2 2.6 |
\* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 \* llvm 3.2 \* llvmpy 0.11.2 \* lxml 3.2.0 \* matplotlib 1.2.1 \* mdp 3.3 \* mingw 4.7 *W* \* netcdf4 1.0.4 *LM* \* networkx 1.7 \* nose 1.3.0 \* numba 0.8.1 \* numpy 1.7.1 |
\* pandas 0.11.0 \* pip 1.3.1 \* ply 3.4 \* psutil 0.7.1 \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6 \* pyflakes 0.7.2 \* pygments 1.6 \* pyside 1.1.2 *W* \* python 3.3.1 \* pytz 2013b \* pyyaml 3.10 |
\* pyzmq 2.2.0.1 \* requests 1.2.0 \* scikit-image 0.8.2 \* scipy 0.12.0 \* six 1.3.0 \* sphinx 1.1.3 \* sqlalchemy 0.8.1 \* sympy 0.7.2 \* tornado 3.0.1 \* xlrd 0.9.2 \* zlib 1.2.7 |
Available through conda
| \* argparse 1.2.1 \* astropy 0.2.1 \* atom 0.2.3 \* biopython 1.61 \* bitarray 0.8.1 \* boto 2.9.2 \* cairo 1.12.2 *L* \* casuarius 1.1 \* curl 7.30.0 *LM* \* cython 0.19 \* dateutil 2.1 \* disco 0.4.4 *L* \* distribute 0.6.36 \* docutils 0.10 \* dynd-python 0.3.0 \* erlang R15B01 *L* \* flask 0.9 \* freetype 2.4.10 \* gevent 0.13.8 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 |
\* greenlet 0.4.0 \* grin 1.2.1 \* h5py 2.1.1 \* hdf5 1.8.9 \* imaging 1.1.7 \* ipython 0.13.2 \* jinja2 2.6 \* libevent 2.0.20 \* libnetcdf 4.2.1.1 *LM* \* libpng 1.5.13 \* llvm 3.2 \* llvmpy 0.11.2 \* lxml 3.2.0 \* matplotlib 1.2.1 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* netcdf4 1.0.4 *LM* \* networkx 1.7 \* nltk 2.0.4 |
\* nose 1.3.0 \* numba 0.8.1 \* numexpr 2.0.1 \* numpy 1.7.1 \* opencv 2.4.2 *L* \* ordereddict 1.1 \* pandas 0.11.0 \* pip 1.3.1 \* ply 3.4 \* psutil 0.7.1 \* py 1.4.12 \* py2cairo 1.10.0 *L* \* pycosat 0.6.0 \* pycparser 2.9.1 \* pycrypto 2.6 \* pycurl 7.19.0 *LM* \* pyflakes 0.7.2 \* pygments 1.6 \* pyparsing 1.5.6 \* pysam 0.6 *LM* \* pytables 2.4.0 *LM* |
\* pytest 2.3.4 \* python 2.6.8 \* pytz 2013b \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* redis-py 2.7.2 *LM* \* requests 1.2.0 \* scikit-image 0.8.2 \* scikit-learn 0.13.1 \* scipy 0.12.0 \* six 1.3.0 \* sphinx 1.1.3 \* sqlalchemy 0.8.1 \* statsmodels 0.4.3 \* sympy 0.7.2 *LM* \* theano 0.5.0 *L* \* tornado 3.0.1 \* werkzeug 0.8.3 \* xlrd 0.9.2 \* xlwt 0.7.5 \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Many more packages are now supported on Python 3.3. In addition, we
have added Python 3 support on Windows, such that now Python 2.6, 2.7
and 3.3 is supported across all platforms.
In addition, we have redesigned the Windows installer, which was suffering
from a number of problems, in particular the lack of uninstall functionality
and the GUI not working on some systems.
updated:
* conda from 1.3.5 to 1.4.2
* numba from 0.6.0 to 0.7.0
* numpy from 1.7rc1 to 1.7.0
* scikit-image from 0.7.1 to 0.8.2
fixed:
* pytables on Windows
other notes:
* Linux: a ATLAS package is now available (conda install atlas).
In addition the site.cfg in the numpy.distutils has been updated,
such that other packages (for example, scipy) which use the atlas build
configuration can be build against the (non-MKL linked) numpy in
Anaconda.
Included in installer
| \* astropy 0.2 \* biopython 1.60 \* bitarray 0.8.0 \* bitey 0.0 \* boto 2.8.0 \* cairo 1.12.2 *L* \* conda 1.4.4 \* cubes 0.10.2 \* cython 0.18 \* dateutil 2.1 \* disco 0.4.4 *L* \* distribute 0.6.34 \* docutils 0.10 \* erlang R15B01 *L* \* flask 0.9 \* freetype 2.4.10 \* gdata 2.0.17 \* gevent 0.13.8 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 \* googlecl 0.9.12 \* greenlet 0.4.0 |
\* grin 1.2.1 \* h5py 2.1.1 \* hdf5 1.8.9 \* imaging 1.1.7 \* ipython 0.13.1 \* jinja2 2.6 \* libevent 2.0.20 \* libpng 1.5.13 \* llvm 3.2 \* llvmpy 0.11.1 \* lxml 3.0.2 \* matplotlib 1.2.0 \* mdp 3.3 \* menuinst 1.0.0 *W* \* meta 0.4.2.dev \* mingw 4.7 *W* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* networkx 1.7 \* nltk 2.0.4 \* nose 1.2.1 \* numba 0.7.0 |
\* numexpr 2.0.1 \* numpy 1.7.0 \* opencv 2.4.2 *L* \* pandas 0.10.1 \* pip 1.2.1 \* ply 3.4 \* psutil 0.6.1 \* py 1.4.12 \* py2cairo 1.10.0 *L* \* pyaudio 0.2.7 *M* \* pycparser 2.9.1 \* pycrypto 2.6 \* pycurl 7.19.0 *LM* \* pyflakes 0.6.1 \* pygments 1.6 \* pyparsing 1.5.6 \* pysal 1.5.0 \* pysam 0.6 *LM* \* pyside 1.1.2 \* pytables 2.4.0 \* pytest 2.3.4 \* python 2.7.3 |
\* pytz 2012j \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* qt 4.7.4 \* redis 2.6.9 *LM* \* redis-py 2.7.2 *LM* \* requests 0.13.9 \* scikit-image 0.8.2 \* scikit-learn 0.13 \* scipy 0.11.0 \* six 1.2.0 \* sphinx 1.1.3 \* spyder 2.1.13 \* sqlalchemy 0.7.8 \* statsmodels 0.4.3 \* sympy 0.7.1 \* theano 0.5.0 *L* \* tornado 2.4.1 \* werkzeug 0.8.3 \* xlrd 0.9.0 \* xlwt 0.7.4 \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
Available through conda
| \* astropy 0.2 \* bitarray 0.8.0 \* cython 0.18 \* dateutil 2.1 \* distribute 0.6.34 \* docutils 0.10 \* freetype 2.4.10 \* greenlet 0.4.0 \* ipython 0.13.1 \* jinja2 2.6 \* libpng 1.5.13 |
\* llvm 3.2 \* llvmpy 0.11.1 \* lxml 3.0.2 \* matplotlib 1.2.0 \* mdp 3.3 \* mingw 4.7 *W* \* networkx 1.7 \* nose 1.2.1 \* numpy 1.7.0 \* pandas 0.10.1 *LM* \* pip 1.2.1 |
\* ply 3.4 \* psutil 0.6.1 \* pycparser 2.9.1 \* pycrypto 2.6 \* pyflakes 0.6.1 \* pygments 1.6 \* python 3.3.0 \* pytz 2012j \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* requests 0.13.9 |
\* scikit-image 0.8.2 *LM* \* scipy 0.11.0 *LM* \* six 1.2.0 \* sphinx 1.1.3 \* sqlalchemy 0.7.8 \* tornado 2.4.1 \* xlrd 0.9.0 \* zlib 1.2.7 |
Available through conda
| \* argparse 1.2.1 \* astropy 0.2 \* biopython 1.60 \* bitarray 0.8.0 \* boto 2.8.0 \* cairo 1.12.2 *L* \* cython 0.18 \* dateutil 2.1 \* disco 0.4.4 *L* \* distribute 0.6.34 \* docutils 0.10 \* erlang R15B01 *L* \* flask 0.9 \* freetype 2.4.10 \* gdata 2.0.17 \* gevent 0.13.8 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 \* googlecl 0.9.12 \* greenlet 0.4.0 |
\* grin 1.2.1 \* h5py 2.1.1 \* hdf5 1.8.9 \* imaging 1.1.7 \* ipython 0.13.1 \* jinja2 2.6 \* libevent 2.0.20 \* libpng 1.5.13 \* llvm 3.2 \* llvmpy 0.11.1 \* lxml 3.0.2 \* matplotlib 1.2.0 *LM* \* mdp 3.3 \* mingw 4.7 *W* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* networkx 1.7 \* nltk 2.0.4 \* nose 1.2.1 \* numba 0.7.0 |
\* numexpr 2.0.1 \* numpy 1.7.0 \* opencv 2.4.2 *L* \* pandas 0.10.1 \* pip 1.2.1 \* ply 3.4 \* psutil 0.6.1 \* py 1.4.12 \* py2cairo 1.10.0 *L* \* pycparser 2.9.1 \* pycrypto 2.6 \* pycurl 7.19.0 *LM* \* pyflakes 0.6.1 \* pygments 1.6 \* pyparsing 1.5.6 \* pysam 0.6 *LM* \* pytables 2.4.0 *LM* \* pytest 2.3.4 \* python 2.6.8 \* pytz 2012j |
\* pyyaml 3.10 \* pyzmq 2.2.0.1 \* redis 2.6.9 *LM* \* redis-py 2.7.2 *LM* \* requests 0.13.9 \* scikit-image 0.8.2 \* scikit-learn 0.13 \* scipy 0.11.0 \* six 1.2.0 \* sphinx 1.1.3 \* sqlalchemy 0.7.8 \* statsmodels 0.4.3 \* sympy 0.7.1 *LM* \* theano 0.5.0 *L* \* tornado 2.4.1 \* werkzeug 0.8.3 \* xlrd 0.9.0 \* xlwt 0.7.4 \* zlib 1.2.7 |
Only available on: *L* (Linux) - *M* (macOS) - *W* (Windows)
added:
* Python 2.6 support for iopro, numba and numbapro
* Python 2.6 support on Windows (Python 2.6 is now supported on all
platforms)
* added pythonw (the command to run Python GUI applications) on macOS
* added chaco on Windows
updates:
* conda from 1.3.2 to 1.3.5
* numba from 0.5.0 to 0.6.0
| \* biopython 1.60 \* bitarray 0.8.0 \* bitey 0.0 \* boto 2.7.0 \* cairo 1.12.2 *L* \* conda 1.3.5 \* cubes 0.10.1 \* cython 0.17.4 \* dateutil 1.5 \* disco 0.4.4 *L* \* distribute 0.6.34 \* docutils 0.10 \* erlang R15B01 *L* \* flask 0.9 \* freetype 2.4.10 \* gdata 2.0.17 \* gevent 0.13.8 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 \* googlecl 0.9.12 \* greenlet 0.4.0 \* grin 1.2.1 |
\* h5py 2.1.1 \* hdf5 1.8.9 \* imaging 1.1.7 \* iopro 1.3.2 *P* \* ipython 0.13.1 \* jinja2 2.6 \* libevent 2.0.20 \* libnvvm 1.0 *P* \* libpng 1.5.13 \* llvm 3.2 \* llvmpy 0.10.2 \* matplotlib 1.2.0 \* mdp 3.3 \* meta 0.4.2.dev \* mingw 4.7 *W* \* mkl 10.3 *LP* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* networkx 1.7 \* nltk 2.0.4 \* nose 1.2.1 \* numba 0.6.0 |
\* numbapro 0.8.1 *P* \* numexpr 2.0.1 \* numpy 1.6.2 *W* \* numpy 1.7.0rc1 *U* \* opencv 2.4.2 *L* \* pandas 0.10.1 \* pip 1.2.1 \* ply 3.4 \* psutil 0.6.1 \* py 1.4.12 \* py2cairo 1.10.0 *L* \* pyaudio 0.2.7 *M* \* pycrypto 2.6 \* pycurl 7.19.0 \* pyflakes 0.5.0 \* pygments 1.5 \* pyparsing 1.5.6 \* pysal 1.4.0 \* pysam 0.6 *U* \* pyside 1.1.2 \* pytables 2.4.0 \* pytest 2.3.4 |
\* python 2.7.3 \* pytz 2012d \* pyyaml 3.10 \* pyzmq 2.2.0.1 \* qt 4.7.4 \* redis 2.6.9 *U* \* redis-py 2.7.2 *U* \* requests 0.13.9 \* scikit-learn 0.13 \* scikits-image 0.7.1 \* scipy 0.11.0 \* sphinx 1.1.3 \* spyder 2.1.13 \* sqlalchemy 0.7.8 \* statsmodels 0.4.3 \* sympy 0.7.1 \* theano 0.5.0 *L* \* tornado 2.4.1 \* werkzeug 0.8.3 \* wiserf 1.1 *UP* \* zeromq 2.2.0 \* zlib 1.2.7 |
*U*: Unix - *L*: Linux - *M*: macOS - *W*: Windows - *P*: not in CE
fixes:
* fixed missing Grammar.txt in Sphinx
* recompiled llvm and llvmpy using gcc 4.4.6 on Linux, this fixes a
problem with the mandel.py example in numba
* made Windows installer dialog resizeable
* fixed problem that importing numbapro or iopro removed sys from
the namespace
updates:
* numba from 0.3.2 to 0.5.0
* conda from 1.2.1 to 1.3.0
* pandas from 0.9.0 to 0.10.1
* spyder form 2.1.11 to 2.1.13
* numpy from 1.7.0b2 to 1.7.0rc1
* scikit-learn from 0.11 to 0.12.1
* scikits-image from 0.6.1 to 0.7.1
* pytest from 2.3.3 to 2.3.4
* pucurl on macOS
* anaconda-launcher envs by updating to conda 1.2.1
* add missing pyodbc numpy\_tests in iopro/tests/pyodbc
* updated wiseRF to version 1.1
* add creation of .continuum directory (if not created yet) on Windows
* minor fixes in numba, numbapro, and iopro
* fixed version of “py” package
* add missing Windows manifest to Windows executable installer
* fixed Windows Menu install and making Anaconda the default Python
* on 2012-12-06 we released a 32-bit Linux version
| \* bitarray 0.8.0 \* bitey 0.0 \* boto 2.6.0 \* cairo 1.12.2 *L* \* chaco 4.2.1.dev *M* \* conda 1.2.1 \* cython 0.17.1 \* dateutil 1.5 \* disco 0.4.2 *L* \* distribute 0.6.30 \* docutils 0.9.1 \* erlang R15B01 *L* \* flask 0.9 \* freetype 2.4.10 \* gevent 0.13.7 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 \* greenlet 0.4.0 \* grin 1.2.1 \* h5py 2.1.0 \* hdf5 1.8.9 |
\* imaging 1.1.7 \* iopro 1.2.2 *P* \* ipython 0.13.1 \* jinja2 2.6 \* jpeg 8d \* libevent 2.0.20 \* libpng 1.5.13 \* llvm 3.1 \* llvmpy 0.9 \* matplotlib 1.2.0 \* mdp 3.3 \* meta 0.4.2.dev \* mingw 4.7 *W* \* mkl 10.3 *LP* \* mpi4py 1.3 *L* \* mpich2 1.4.1p1 *L* \* networkx 1.7 \* nltk 2.0.3 \* nose 1.1.2 \* numba 0.3.2 \* numbapro 0.7.3 *P* |
\* numexpr 2.0.1 \* numpy 1.6.2 *W* \* numpy 1.7.0b2 *U* \* opencv 2.4.2 *L* \* pandas 0.9.0 \* pip 1.2.1 \* psutil 0.6.1 \* py 1.4.12 \* py2cairo 1.10.0 *L* \* pyaudio 0.2.6 *M* \* pycurl 7.19.0 \* pyflakes 0.5.0 \* pygments 1.5 \* pyreadline 1.7.1 *W* \* pysal 1.4.0 \* pysam 0.6 *U* \* pyside 1.1.2 \* pytables 2.4.0 \* pytest 2.3.3 \* python 2.7.3 \* pytz 2012d |
\* pyyaml 3.10 \* pyzmq 2.2.0.1 \* qt 4.7.4 \* redis 2.4.15 *L* \* redis-py 2.4.13 *L* \* requests 0.13.9 \* scikit-learn 0.11 \* scikits-image 0.6.1 \* scipy 0.11.0 \* sphinx 1.1.3 \* spyder 2.1.11 \* sqlalchemy 0.7.8 \* statsmodels 0.4.3 \* sympy 0.7.1 \* theano 0.5.0 *L* \* tornado 2.3 \* werkzeug 0.8.3 \* wiserf 1.1 *UP* \* yaml 0.1.4 \* zeromq 2.2.0 \* zlib 1.2.7 |
*U*: Unix - *L*: Linux - *M*: macOS - *W*: Windows - *P*: not in CE
* performance and feature enhancements to Numba Pro
* performance and feature enhancements to IOPro
* improved conda command (package management)
* added Qt to the Linux Version (Qt is now on all platforms)
* added MDP, NLTK and py, pytest
* update matplotlib from 1.1.1 to 1.2.0
* update h5py from 2.0.1 to 2.1.0
* update IOPro to 1.2.1
* update libpng to 1.5.13
* add GUI to Windows installer
* IDE Spyder (Qt) for Mac Version
* add conda 1.0
* update llvmpy to 0.8.3
* add MinGW on Windows
| \* anaconda launcher \* bitarray 0.8.0 \* bitey \* cython 0.16 \* dateutil 1.5 \* disco 0.4.2 (Linux only) \* erlang (Linux only) \* flask 0.9 \* gevent 0.13.7 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 \* greenlet0.4.0 \* h5py 2.0.1 \* hdf5 1.8.9 \* PIL 1.1.7 |
\* iopro 1.0 \* \* ipython 0.13 \* jinja2 2.6 \* llvm 3.1 \* llvmpy 0.8.2.dev \* matplotlib 1.1.1 \* mpi4py 1.3 \* mpich2 1.4.1p1 \* networkx 1.7 \* nose 1.1.2 \* numba 0.1.dev \* numbapro 1.0 \* \* numexpr 2.0.1 \* numpy 1.7.dev \* opencv 2.4.2 |
\* openssl 1.0.1c \* pandas 0.8.1 \* pip 1.1 \* pixman 0.26.2 \* py2cairo 1.10.0 \* pycurl 7.19.0 \* pygments 1.5 \* pysal 1.4.0 \* pysam 0.6 \* pytables 2.4.0 \* python 2.7.3 \* pytz 2012c \* pyyaml 3.10 \* pyzmq 2.2.0 \* redis 2.4.15 (Linux only) |
\* redis py-2.4.13 \* requests 0.13.5 \* scikit-learn 0.11 \* scikits-image 0.6.1 \* scipy 0.11.0rc2 \* spyder \* sqlalchemy 0.7.8 \* sqlite 3.7.13 \* statsmodels 0.4.3 \* sympy 0.7.1 \* theano 0.5.0 \* tornado 2.3 \* werkzeug 0.8.3 \* wiseRF \* |
**\* Included in Anaconda Pro Only**
Packages may vary on different platforms.
* add Windows support
* installer can now install into different locations
* enable building free and permium version
* enable termcap in erlang
* add MKL support to permium version
* add networkx, pysal, pycurl, gevent\_zeromq, requests, pip, distribute
* add iopro to permium version
* update scipy from 0.11.0b1 to 0.11.0rc2
* update scikits-image form 0.6 to 0.6.1
* update pytables from 2.4.0b1 to 2.4.0
* update pandas from 0.8.0 to 0.8.1
* add patch to disco to always use the anaconda erl
* remove useless files (Python) from being installed
| \* anaconda launcher \* bitarray 0.8.0 \* bitey \* cython 0.16 \* dateutil 1.5 \* disco 0.4.2 (Linux only) \* erlang (Linux only) \* flask 0.9 \* gevent 0.13.7 \* gevent-websocket 0.3.6 \* gevent\_zeromq 0.2.5 \* greenlet0.4.0 \* h5py 2.0.1 \* hdf5 1.8.9 \* PIL 1.1.7 |
\* iopro 1.0 \* \* ipython 0.13 \* jinja2 2.6 \* llvm 3.1 \* llvmpy 0.8.2.dev \* matplotlib 1.1.1 \* mpi4py 1.3 \* mpich2 1.4.1p1 \* networkx 1.7 \* nose 1.1.2 \* numba 0.1.dev \* numbapro 1.0 \* \* numexpr 2.0.1 \* numpy 1.7.dev \* opencv 2.4.2 |
\* openssl 1.0.1c \* pandas 0.8.1 \* pip 1.1 \* pixman 0.26.2 \* py2cairo 1.10.0 \* pycurl 7.19.0 \* pygments 1.5 \* pysal 1.4.0 \* pysam 0.6 \* pytables 2.4.0 \* python 2.7.3 \* pytz 2012c \* pyyaml 3.10 \* pyzmq 2.2.0 |
\* redis 2.4.15 (Linux only) \* redis py-2.4.13 \* requests 0.13.5 \* scikit-learn 0.11 \* scikits-image 0.6.1 \* scipy 0.11.0rc2 \* sqlalchemy 0.7.8 \* sqlite 3.7.13 \* statsmodels 0.4.3 \* sympy 0.7.1 \* theano 0.5.0 \* tornado 2.3 \* werkzeug 0.8.3 \* wiseRF \* |
**\* Included in Anaconda Pro Only**