Zdrojový balík: numpydoc (1.8.0-2) [universe]
Odkazy pre numpydoc
Zdroje Ubuntu:
Správca:
Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.
Original Maintainers (usually from Debian):
- Debian Python Team
- Denis Laxalde
- Chiara Marmo
It should generally not be necessary for users to contact the original maintainer.
Externé zdroje:
- Domovská stránka [github.com]
Nasledovné binárne balíky sú zostavované z tohto zdrojového balíka:
- python3-numpydoc
- Sphinx extension to support docstrings in Numpy format -- Python3
Ostatné balíky súvisiace s balíkom numpydoc
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- adep: debhelper-compat (= 13)
- Balík nie je dostupný
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- adep: dh-sequence-python3
- virtuálny balík poskytovaný balíkom dh-python
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- adep: pybuild-plugin-pyproject
- Debian helper tools for packaging Python libraries using PEP517
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- adep: python3-all
- package depending on all supported Python 3 runtime versions
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- adep: python3-jinja2
- small but fast and easy to use stand-alone template engine
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- adep: python3-matplotlib
- Python based plotting system in a style similar to Matlab
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- adep: python3-pytest
- Simple, powerful testing in Python3
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- adep: python3-pytest-cov
- py.test plugin to produce coverage reports for Python3
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- adep: python3-setuptools
- Python3 Distutils Enhancements
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- adep: python3-sphinx
- documentation generator for Python projects
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- adep: python3-doc
- documentation for the high-level object-oriented language Python 3
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- adep: python3-tabulate
- pretty-print tabular data in Python3
Download numpydoc
| Súbor | Veľkosť (v kB) | kontrolný súčet MD5 |
|---|---|---|
| numpydoc_1.8.0-2.dsc | 2.3 kB | 78289871c8e27d7b2787caa47d3aed34 |
| numpydoc_1.8.0.orig.tar.gz | 88.3 kB | f1dcf7f9e10d72680a6ff71607cce99b |
| numpydoc_1.8.0-2.debian.tar.xz | 5.3 kB | 4071d4d4aca348c66362c39e11ebf543 |
- Úložisko zdrojových balíkov Debianu (VCS: Git)
- https://salsa.debian.org/python-team/packages/numpydoc.git
- Úložisko zdrojových balíkov Debianu (možno prezerať)
- https://salsa.debian.org/python-team/packages/numpydoc