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
You can use pip to install joblib:
pip install joblib
from any directory or:
python setup.py install
from the source directory.
- Joblib has no mandatory dependencies besides Python (supported versions are 2.7+ and 3.4+).
- 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:
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:
The html docs are located in the
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 upload_docs --upload-dir doc/_build/html twine upload dist/*
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
joblib is BSD-licenced (3 clause):
This software is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.
Copyright (c) 2009-2011, joblib developpers All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- Neither the name of Gael Varoquaux. nor the names of other joblib contributors may be used to endorse or promote products derived from this software without specific prior written permission.
This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.