Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. Distributed under a liberal BSD license, NumPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community. Nearly every scientist working in Python draws on the power of NumPy. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use.

Features

  • Fast and versatile vectorization, indexing, and broadcasting
  • Comprehensive mathematical functions, random number generators, linear algebra routines
  • NumPy supports a wide range of hardware and computing platforms
  • Plays well with distributed, GPU, and sparse array libraries
  • The core of NumPy is well-optimized C code
  • NumPy’s high level syntax makes it accessible and productive for programmers from any background

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License

BSD License

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Additional Project Details

Operating Systems

Windows

Programming Language

Python

Related Categories

Python Scientific Engineering, Python Quantum Computing Software

Registered

2021-03-18