packages原始碼套件： numpy (1:1.26.4+ds-11build1)
numpy 的相關超連結
Ubuntu 的資源：
維護者：
Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.
Original Maintainers (usually from Debian):
- Debian Python Team
- Christian Kastner
- Timo Röhling
It should generally not be necessary for users to contact the original maintainer.
外部的資源：
- 主頁 [www.numpy.org]
本原始碼套件構建了以下這些二進制套件：
- python-numpy-doc
- Fast array facility to the Python language (Documentation)
- python3-numpy
- Fast array facility to the Python language (Python 3)
其他與 numpy 有關的套件
|
|
-
- adep: cython3
- C-Extensions for Python 3
-
- adep: debhelper-compat (= 13)
- 套件暫時不可用
-
- adep: dh-python
- Debian helper tools for packaging Python libraries and applications
-
- adep: dh-sequence-python3
- 本虛擬套件由這些套件提供： dh-python
-
- adep: gfortran [amd64 arm64 ppc64el]
- GNU Fortran 95 compiler
-
- adep: libblas-dev [除 arm m68k]
- Basic Linear Algebra Subroutines 3, static library
-
- adep: liblapack-dev [除 arm m68k]
- Library of linear algebra routines 3 - static version
-
- adep: libpython3-all-dev
- package depending on all supported Python 3 development packages
-
- adep: mypy
- optional static typing for Python
-
- adep: ninja-build
- small build system closest in spirit to Make
-
- adep: pybuild-plugin-pyproject
- Debian helper tools for packaging Python libraries using PEP517
-
- adep: python3-all-dev
- package depending on all supported Python 3 development packages
-
- adep: python3-charset-normalizer
- charset, encoding and language detection (Python 3)
-
- adep: python3-hypothesis
- advanced Quickcheck style testing library for Python 3
-
- adep: python3-mesonpy
- Meson PEP 517 Python build backend
-
- adep: python3-pyproject-metadata
- Dataclass for PEP 621 metadata with support for [core metadata] generation
-
- adep: python3-pytest
- Simple, powerful testing in Python3
-
- adep: python3-pytest-xdist
- xdist plugin for py.test (Python 3)
-
- adep: python3-scipy
- scientific tools for Python 3
-
- adep: python3-setuptools
- Python3 Distutils Enhancements
-
- adep: python3-typing-extensions (>= 4.2.0)
- Backported and Experimental Type Hints for Python
-
- adep: python3-tz
- Python3 version of the Olson timezone database
-
- adep: tzdata-legacy
- time zone data for TAI minus ten seconds
-
- idep: dh-sequence-sphinxdoc
- 本虛擬套件由這些套件提供： sphinx-common
-
- idep: doxygen
- Generate documentation from source code
-
- idep: python-imageio-doc
- documentation for imageio
-
- idep: python-pandas-doc
- data structures for "relational" or "labeled" data - documentation
-
- idep: python-pytest-doc
- Simple, powerful testing in Python - Documentation
-
- idep: python-scipy-doc
- scientific library for Python - documentation
-
- idep: python-skimage-doc
- Documentation and examples for scikit-image
-
- idep: python3-breathe
- Sphinx autodox support for languages with doxygen support (Python 3)
-
- idep: python3-doc
- documentation for the high-level object-oriented language Python 3
-
- idep: python3-ipython
- Enhanced interactive Python shell (Python 3 version)
-
- idep: python3-matplotlib
- Python based plotting system in a style similar to Matlab
-
- idep: python3-numpydoc
- Sphinx extension to support docstrings in Numpy format -- Python3
-
- idep: python3-pickleshare
- File system based database that uses Python pickles for Python 3
-
- idep: python3-pydata-sphinx-theme
- bootstrap-based Sphinx theme from the PyData community
-
- idep: python3-sphinx
- documentation generator for Python projects
-
- idep: python3-sphinx-design
- A sphinx extension for designing beautiful, view size responsive web components.
Download numpy
| 文件 | 大小(單位: kB) | MD5 檢查碼 |
|---|---|---|
| numpy_1.26.4+ds-11build1.dsc | 3.4 kB | c11e5450fef2911b36a237d61feef8b7 |
| numpy_1.26.4+ds.orig.tar.xz | 11,005.4 kB | 9fc752fe1de9869a6bbd93234dd9a093 |
| numpy_1.26.4+ds-11build1.debian.tar.xz | 152.5 kB | 2af29d134423e2114e91d401e21cd05c |
- Debian 套件原始碼倉庫(VCS: Git)
- https://salsa.debian.org/python-team/packages/numpy.git
- Debian 套件原始碼倉庫(可在線瀏覽)
- https://salsa.debian.org/python-team/packages/numpy