NumPy is the fundamental package for array computing with Python.
Project description
It provides:
- a powerful N-dimensional array object
- sophisticated (broadcasting) functions
- tools for integrating C/C++ and Fortran code
- useful linear algebra, Fourier transform, and random number capabilities
- and much more
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
All NumPy wheels distributed on PyPI are BSD licensed.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size numpy_mips64-1.17.4-cp37-cp37m-manylinux2010_x86_64.whl (9.9 MB) | File type Wheel | Python version cp37 | Upload date | Hashes View |
Filename, size numpy_mips64-1.17.4.tar.gz (5.8 MB) | File type Source | Python version None | Upload date | Hashes View |
Close
Hashes for numpy_mips64-1.17.4-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2769606614224ae08bf906cb658dd0f3b4a0bac5abc6e4187d494dea77ed7c71 |
|
MD5 | 39c550bcb91e6f7b91555a1f80f12694 |
|
BLAKE2-256 | 0985aaa12403123a9b9d2373732c97c0e7e0542fe9c596ba7c19cb59330e864f |