scikit-learn: machine learning in Python

The most widely used Python to C compiler

Bayesian Modeling and Probabilistic Programming in Python

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

Official Matplotlib cheat sheets

the portable Python dataframe library

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

Official git repository for Biopython (originally converted from CVS)

N-D labeled arrays and datasets in Python

Exploratory analysis of Bayesian models with Python

3D visualization of scientific data in Python

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

The sample project layout from the book, "Two Scoops of Django 1.5 and 1.6"

Fuzzy Logic SciKit (Toolkit for SciPy)

Example of using Rust to Extend Python

Hybrid ML + physics model of the Earth's atmosphere

A benchmark for the next generation of data-driven global weather models.

Quickly search, compare, and analyze genomic and metagenomic data sets.

The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

Python Library for NASA Earthdata APIs

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Colormap setup for standardizing commonly-plotting oceanographic variables.

A controls-oriented engineering wake model.

Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.

WIP implementation of a tree-like hierarchical data structure for xarray.

Fast & furious GroupBy operations for dask.array

Python tool to check your datasets against compliance standards