numpy 2.4.2

Fundamental package for array computing in Python

Stars: 31453, Watchers: 31453, Forks: 12064, Open Issues: 2317

The numpy/numpy repo was created 15 years ago and the last code push was 7 hours ago.
The project is extremely popular with a mindblowing 31453 github stars!

How to Install numpy

You can install numpy using pip

pip install numpy

or add it to a project with poetry

poetry add numpy

Package Details

Author

Travis E. Oliphant et al.

License

None

Homepage

None

PyPi:

https://pypi.org/project/numpy/

GitHub Repo:

https://github.com/numpy/numpy

Classifiers

• Scientific/Engineering
• Software Development

Related Packages

Errors

A list of common numpy errors.

Code Examples

Here are some numpy code examples and snippets.

GitHub Issues

The numpy package has 2317 open issues on GitHub

• DOC: Update Sphinx to 9.0.4 and numpydoc to >=1.10.0
• TST: Update test_io.py to use utf-8 encoding and restore binary tests
• BUG: Fix MaskedRecords.view dtype reset for ndarray subclasses
• BUG: Fix numpy.ma assert_almost_equal tolerance for arrays
• Support for the new Limited API and Stable ABI in Python 3.15 (PEP 803/809)
• ENH: add a hook to the DType API for parsing dtype strings
• DOC: update sphinx and numpydoc pins
• ENH: infer nin/nout for frompyfunc
• BUG: fix thread safety of array_getbuffer
• BUG/TST: Fix TSAN race condition in _buffer_get_info and add TSAN test
• DOC: add python-level parallelism guide to NumPy fundamentals
• TST: Add regression test for genfromtxt ndmin argument (gh-25662)
• ENH: Generalize split function to split matrix into sub-matrices.
• ENH: Native bfloat16 (bf16) dtype support for unified memory AI workloads
• DOC: add introductory overview of parallelism in NumPy

See more issues on GitHub