NumPy is one of the many modules in Python that adds support of large multidimensional arrays and matrixes, along with a large library of high-level mathematical functions for operations with these arrays. --- To install the numpy module enter this command line: ~~~ python -m pip install numpy ~~~ It may require the wheel and pip package.
About NumPy
From the NumPy homepage:
NumPy is the fundamental package for scientific computing with python. It contains among other things:
- a powerful N-dimensional array object
- built-in universal functions (ufuncs)
- sophisticated (broadcasting) operation
- tools for integrating C/C++ and Fortran code
- useful linear algebra, Fourier transform, and random number capabilities
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.
NumPy provides reliable and efficient methods of data storage, manipulation, and analysis as it also integrates easily with other methods of data manipulation, notably Pandas and scikit-learn.
NumPy is released under the BSD license, enabling reuse with few restrictions.
Resources
Official Resources
- NumPy Official Documentation
- NumPy Tutorial
- NumPy Community
- Contributing to NumPy
- NumPy GitHub repository
Books
- NumPy: Beginner's Guide - Third Edition (as a downloadable pdf)
