Awesome NumPy

Awesome list of NumPy

Contents

• Ecosystem
  • Core
  • Hardware acceleration
  • Jit Compiler
  • AI/ML
• Community
  • Conference
  • Channels
  • Roadmap & Milestones
• Materials
  • Books
  • Videos
  • Reading Materials

Ecosystem

Core

• NumPy - Main project of NumPy.
• SciPy - Extends NumPy for data science purpose.

Core dependencies

• ATLAS - Automatically Tuned Linear Algebra Software.
• BLAS - Basic Linear Algebra Subprograms.
• LAPACK - Linera Algebra Package.
• FFT - library for efficient computation of the discrete Fourier transform.

Extended library

• Blaze - A high-level library, It provides compatible interface with NumPy.
• Numexpr - Fast numerical expression evaluator for NumPy.

Hardware acceleration

• CuPy - NumPy-compatible library for GPU-accelerated computing.

Distributed Computing

• Dask - Distributed computing platform for NumPy and Pandas.

JIT Compiler

• Numba - JIT compiler that translates a subset of NumPy.

AI/ML

• JAX - Extends NumPy by ML purpose, Autograd and XLA project.
• AutoGrad - Efficiently computes derivatives of numpy code.
• TensorFlow NumPy - A subset of the NumPy API implemented in TensorFlow.
• NumPy ML - Collection of ML models, algorithms, & tools using NumPy and Python standard lib.

Community

Conference

• SciPy US
• EuroSciPy
• SciPy India
• PyData
• PyCon
• O'Reilly AI Conference

Channels

• NumPy Slack

Roadmap & Milestones

• The Scope of NumPy
• Roadmap
• Wish List

Materials

Books

• Guide to NumPy - Travis E. Oliphant, PhD
• From Python to Numpy - Nicolas P. Rougier
• Elegant SciPy - Juan Nunez-Iglesias
• Numerical Python - Robert Johansson

Videos

• Inside NumPy - Barkeley Institute for Data Science (BIDS)

Reading Materials

• NumPy Cheat Sheet: Data Analysis in Python
• Faster Python calculations with Numba: 2 lines of code, 13× speed-up