Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Hardware accelerated, batchable and differentiable optimizers in JAX.

JAX - A curated list of resources https://github.com/google/jax

Declarative statistical visualization library for Python

Set up your GitHub Actions workflow with conda via miniconda

Ridge plots of ridges

The uncompromising Python code formatter

Python 2 and 3 compatibility library

Sparse multi-dimensional arrays for the PyData ecosystem

Scalable 1D Gaussian Processes in C++, Python, and Julia

%conda magic for IPython

a nose plugin for finding and running IPython notebooks as nose tests

A small package of software which will help you configure an automated build and publish process, using Travis CI and GitHub Pages.

A small package of software which will help you configure an automated build and publish process, using Travis CI and GitHub Pages.

Ten simple rules for better figures

Easily open your current page in nbviewer

fast algorithm to do statistics on big data

Fast and flexible Gaussian Process regression in Python

Open Source differential photometry Code for Amateur Astronomical Research

Experimental parallel data analysis toolkit.

A Python Static Website Generator

NumPy aware dynamic Python compiler using LLVM

Slides, notebooks, and other info from my talks

The Julia Language: a fresh approach to technical computing.

Benchmarks of various ways of handling contiguous typed data arrays in cython

Tutorial for astronomy data processing with scikit-learn

A Python to C compiler

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

A resume template based on HTML5 and CSS

Project management related documents for the scikit-learn