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Learn how to install NumPy, a popular Python package for scientific computing and data science, with conda, pip, or other methods. Compare the differences between conda and pip, and the advantages of using virtual environments and package managers.
5 paź 2024 · NumPy is the fundamental package for scientific computing with Python. Website: https://www.numpy.org. Documentation: https://numpy.org/doc. Mailing list: https://mail.python.org/mailman/listinfo/numpy-discussion. Source code: https://github.com/numpy/numpy. Contributing: https://www.numpy.org/devdocs/dev/index.html.
The fundamental package for scientific computing with Python. Latest release: NumPy 2.0. View all releases. NumPy 2.1 released! 2024-08-18. Powerful N-dimensional arrays. Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. Numerical computing tools.
Back to top. Ctrl+K. User Guide API reference Building from source
For each official release of NumPy and SciPy, we provide source code (tarball), as well as binary wheels for several major platforms (Windows, OSX, Linux). Project. Available packages. Download location. NumPy. Official source code (all platforms) and binaries for Windows, Linux and Mac OS X. PyPI page for NumPy.
To install this package run one of the following: conda install anaconda::numpy. Description. NumPy is the fundamental package needed for scientific computing with Python.
18 paź 2015 · Both of these packages include Python, NumPy and many additional packages. A lightweight alternative is to download the Python installer from www.python.org and the NumPy installer for your Python version from the Sourceforge `download site <http://sourceforge.net/projects/numpy/files/NumPy`_.
