Tutorial on python packaging at SciPy 2018
https://python-packaging-tutorial.readthedocs.io
- Install Miniconda3: https://conda.io/docs/user-guide/install/windows.html
- Install conda-build using conda: https://conda.io/docs/user-guide/tasks/build-packages/install-conda-build.html
- install Visual Studio 2017: https://www.visualstudio.com/thank-you-downloading-visual-studio/?sku=Community&rel=15&utm_source=vscom&utm_medium=clickbutton&utm_campaign=tailored_featurepgcppsp&rid=34346
- Install Docker for Windows: https://www.docker.com/docker-windows
- create a conda environment for playing with scikit-build:
conda create -n skbuild -c conda-forge cmake scikit-build cython
- Install Miniconda3: https://conda.io/docs/user-guide/install/macos.html
- Install conda-build using conda: https://conda.io/docs/user-guide/tasks/build-packages/install-conda-build.html
- Install Xcode: https://itunes.apple.com/us/app/xcode/id497799835?mt=12 .
- Follow instructions in the conda-build documentation to install an older MacOS SDK: https://conda.io/docs/user-guide/tasks/build-packages/compiler-tools.html#macos-sdk
- Install Docker for Mac: https://www.docker.com/docker-mac
- create a conda environment for playing with scikit-build:
conda create -n skbuild -c conda-forge cmake scikit-build cython
- Install Miniconda3: https://conda.io/docs/user-guide/install/linux.html
- Install conda-build using conda: https://conda.io/docs/user-guide/tasks/build-packages/install-conda-build.html
- Install Docker client for your OS:
- create a conda environment for playing with scikit-build:
conda create -n skbuild -c conda-forge cmake scikit-build cython
- run
docker pull dockcross/manylinux-x64
- Clone this repository
- cd into the
test_recipesfolder - run
conda build bitarray. Success is indicated by output like:
===== bitarray-0.8.1-py36h1de35cc_1 OK ===== import: 'bitarray' Resource usage statistics from testing bitarray: Process count: 1 CPU time: Sys=0:00:00.0, User=0:00:00.0 Memory: 1.1M Disk usage: 16B Time elapsed: 0:00:02.0 TEST END: /Users/msarahan/miniconda3/conda-bld/osx-64/bitarray-0.8.1-py36h1de35cc_1.tar.bz2 Renaming work directory, /Users/msarahan/miniconda3/conda-bld/bitarray_1529267981928/work to /Users/msarahan/miniconda3/conda-bld/bitarray_1529267981928/work_moved_bitarray-0.8.1-py36h1de35cc_1_osx-64_main_build_loop # Automatic uploading is disabled # If you want to upload package(s) to anaconda.org later, type: anaconda upload /Users/msarahan/miniconda3/conda-bld/osx-64/bitarray-0.8.1-py36h1de35cc_1.tar.bz2 # To have conda build upload to anaconda.org automatically, use # $ conda config --set anaconda_upload yes anaconda_upload is not set. Not uploading wheels: [] #################################################################################### Resource usage summary: Total time: 0:00:36.9 CPU usage: sys=0:00:00.2, user=0:00:00.2 Maximum memory usage observed: 50.6M Total disk usage observed (not including envs): 1016B #################################################################################### - cd into the
test_recipes/hello-cythonfolder - activate the
skbuildenvironment:conda activate skbuild. For older conda (<4.4) installations, follow legacy instructions at https://conda.io/docs/user-guide/tasks/manage-environments.html#activating-an-environment - run
python setup.py install. Success is indicated by output ending in lines like:
creating 'dist/hello_cython-1.2.3-py3.5-macosx-10.9-x86_64.egg' and adding '_skbuild/setuptools/bdist.macosx-10.9-x86_64/egg' to it removing '_skbuild/setuptools/bdist.macosx-10.9-x86_64/egg' (and everything under it) Processing hello_cython-1.2.3-py3.5-macosx-10.9-x86_64.egg Copying hello_cython-1.2.3-py3.5-macosx-10.9-x86_64.egg to /Users/msarahan/miniconda3/envs/skbuild/lib/python3.5/site-packages Adding hello-cython 1.2.3 to easy-install.pth file Installed /Users/msarahan/miniconda3/envs/skbuild/lib/python3.5/site-packages/hello_cython-1.2.3-py3.5-macosx-10.9-x86_64.egg Processing dependencies for hello-cython==1.2.3 Finished processing dependencies for hello-cython==1.2.3 - You're all set!
- Please file issues on this github issue tracker: https://github.com/python-packaging-tutorial/python-packaging-tutorial/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc
Pprior to attending the tutorial, participants should set up an account on
- PyPI (https://pypi.org/account/register/) and TestPyPI (https://test.pypi.org/account/register/)
- anaconda.org (https://anaconda.org/)