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#
Byte-compiled / optimized / DLL files
.DS_Store
__pycache__
/
*
.py
[
cod
]
*
$py.class
#
Certificates for development
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#
Environment files
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.env.development
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C extensions
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Distribution / packaging
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build
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develop-eggs
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dist
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downloads
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eggs
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lib
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lib64
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parts
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sdist
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var
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wheels
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share
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python-wheels
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*
.egg-info
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.installed.cfg
*
.egg
MANIFEST
#
PyInstaller
#
Usually these files are written by a python script from a template
#
before PyInstaller builds the exe, so as to inject date/other infos into it.
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#
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cover
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#
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local_settings.py
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docs
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.pybuilder
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target
/
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Jupyter Notebook
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profile_default
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ipython_config.py
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pyenv
#
For a library or package, you might want to ignore these files since the code is
#
intended to run in multiple environments; otherwise, check them in:
#
.python-version
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pipenv
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According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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However, in case of collaboration, if having platform-specific dependencies or dependencies
#
having no cross-platform support, pipenv may install dependencies that don't work, or not
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install all needed dependencies.
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Pipfile.lock
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poetry
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Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
#
This is especially recommended for binary packages to ensure reproducibility, and is more
#
commonly ignored for libraries.
#
https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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poetry.lock
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pdm
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Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#
pdm.lock
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pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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#
https://pdm.fming.dev/#use-with-ide
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PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__
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Environments
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venv
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site
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mypy
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dmypy.json
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pytype static type analyzer
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