Пакет исходного кода: numpy (1:1.26.4+ds-11)
Ссылки для numpy
Ресурсы Debian:
- Сообщения об ошибках
- Developer Information
- Debian журнал изменений
- Файл авторских прав
- Репозиторий исходного кода Debian (Git)
- Отслеживание заплат Debian
Сопровождающие:
Внешние ресурсы:
- Сайт [www.numpy.org]
Из этого пакета исходного кода собираются следующие двоичные пакеты:
- python-numpy-doc
- Fast array facility to the Python language (Documentation)
- python3-numpy
- Fast array facility to the Python language (Python 3)
Другие пакеты, относящиеся к numpy
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- adep: cython3
- C-Extensions for Python 3
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- adep: debhelper-compat (= 13)
- Пакет недоступен
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- adep: dh-python
- Debian helper tools for packaging Python libraries and applications
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- adep: dh-sequence-python3
- виртуальный пакет, предоставляемый dh-python
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- adep: gfortran [amd64 arm64 ppc64el]
- GNU Fortran 95 compiler
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- adep: libblas-dev [не arm m68k]
- Basic Linear Algebra Subroutines 3, static library
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- adep: liblapack-dev [не arm m68k]
- Library of linear algebra routines 3 - static version
-
- adep: libpython3-all-dev
- package depending on all supported Python 3 development packages
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- adep: mypy
- optional static typing for Python
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- adep: ninja-build
- маленькая система сборки в духе Make
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- adep: pybuild-plugin-pyproject
- Debian helper tools for packaging Python libraries using PEP517
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- adep: python3-all-dev
- package depending on all supported Python 3 development packages
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- adep: python3-charset-normalizer
- charset, encoding and language detection (Python 3)
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- adep: python3-hypothesis
- advanced Quickcheck style testing library for Python 3
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- adep: python3-mesonpy
- Meson PEP 517 Python build backend
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- adep: python3-pyproject-metadata
- Dataclass for PEP 621 metadata with support for [core metadata] generation
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- adep: python3-pytest
- Simple, powerful testing in Python3
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- adep: python3-pytest-xdist
- xdist plugin for py.test (Python 3)
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- adep: python3-scipy
- scientific tools for Python 3
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- adep: python3-setuptools
- Python3 Distutils Enhancements
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- adep: python3-typing-extensions (>= 4.2.0)
- Backported and Experimental Type Hints for Python
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- adep: python3-tz
- Python3 version of the Olson timezone database
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- adep: tzdata-legacy
- time zone data for TAI minus ten seconds
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- idep: dh-sequence-sphinxdoc
- виртуальный пакет, предоставляемый sphinx-common
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- idep: doxygen
- Generate documentation from source code
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- idep: python-imageio-doc
- documentation for imageio
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- idep: python-pandas-doc
- data structures for "relational" or "labeled" data - documentation
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- idep: python-pytest-doc
- Simple, powerful testing in Python - Documentation
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- idep: python-scipy-doc
- scientific library for Python - documentation
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- idep: python-skimage-doc
- Documentation and examples for scikit-image
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- idep: python3-breathe
- Sphinx autodox support for languages with doxygen support (Python 3)
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- idep: python3-doc
- documentation for the high-level object-oriented language Python 3
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- idep: python3-ipython
- Enhanced interactive Python shell (Python 3 version)
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- idep: python3-matplotlib
- Python based plotting system in a style similar to Matlab
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- idep: python3-numpydoc
- Sphinx extension to support docstrings in Numpy format -- Python3
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- idep: python3-pickleshare
- File system based database that uses Python pickles for Python 3
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- idep: python3-pydata-sphinx-theme
- bootstrap-based Sphinx theme from the PyData community
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- idep: python3-sphinx
- documentation generator for Python projects
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- idep: python3-sphinx-design
- A sphinx extension for designing beautiful, view size responsive web components.
Download numpy
Файл | Размер (в Кб) | Контрольная сумма MD5 |
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numpy_1.26.4+ds-11.dsc | 3,5 Кб | 052c500b6e6cb8085e47f3494a95efa8 |
numpy_1.26.4+ds.orig.tar.xz | 11 005,4 Кб | 9fc752fe1de9869a6bbd93234dd9a093 |
numpy_1.26.4+ds-11.debian.tar.xz | 152,5 Кб | e7e530e12616cf4cf955a9dc4f288271 |
- Репозиторий пакетов исходного кода Debian (VCS: Git)
- https://salsa.debian.org/python-team/packages/numpy.git
- Репозиторий пакетов исходного кода Debian (доступен просмотр)
- https://salsa.debian.org/python-team/packages/numpy