Lightweight pipelining with Python functions
Project description
The homepage of joblib with user documentation is located on:
Getting the latest code
To get the latest code using git, simply type:
git clone git://github.com/joblib/joblib.git
If you don’t have git installed, you can download a zip or tarball of the latest code: http://github.com/joblib/joblib/archives/master
Installing
You can use pip to install joblib:
pip install joblib
from any directory or:
python setup.py install
from the source directory.
Dependencies
Joblib has no mandatory dependencies besides Python (supported versions are 3.7+).
Joblib has an optional dependency on Numpy (at least version 1.6.1) for array manipulation.
Joblib includes its own vendored copy of loky for process management.
Joblib can efficiently dump and load numpy arrays but does not require numpy to be installed.
Joblib has an optional dependency on python-lz4 as a faster alternative to zlib and gzip for compressed serialization.
Joblib has an optional dependency on psutil to mitigate memory leaks in parallel worker processes.
Some examples require external dependencies such as pandas. See the instructions in the Building the docs section for details.
Workflow to contribute
To contribute to joblib, first create an account on github. Once this is done, fork the joblib repository to have your own repository, clone it using ‘git clone’ on the computers where you want to work. Make your changes in your clone, push them to your github account, test them on several computers, and when you are happy with them, send a pull request to the main repository.
Running the test suite
To run the test suite, you need the pytest (version >= 3) and coverage modules. Run the test suite using:
pytest joblib
from the root of the project.
Building the docs
To build the docs you need to have sphinx (>=1.4) and some dependencies installed:
pip install -U -r .readthedocs-requirements.txt
The docs can then be built with the following command:
make doc
The html docs are located in the doc/_build/html directory.
Making a source tarball
To create a source tarball, eg for packaging or distributing, run the following command:
python setup.py sdist
The tarball will be created in the dist directory. This command will compile the docs, and the resulting tarball can be installed with no extra dependencies than the Python standard library. You will need setuptool and sphinx.
Making a release and uploading it to PyPI
This command is only run by project manager, to make a release, and upload in to PyPI:
python setup.py sdist bdist_wheel twine upload dist/*
Note that the documentation should automatically get updated at each git push. If that is not the case, try building th doc locally and resolve any doc build error (in particular when running the examples).
Updating the changelog
Changes are listed in the CHANGES.rst file. They must be manually updated but, the following git command may be used to generate the lines:
git log --abbrev-commit --date=short --no-merges --sparse
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