pydata

Parallel computing with task scheduling

cuDF - GPU DataFrame Library

STUMPY is a powerful and scalable Python library for modern time series analysis

Koalas: pandas API on Apache Spark

Extract data from a wide range of Internet sources into a pandas DataFrame.

A distributed task scheduler for Dask

Clean APIs for data cleaning. Python implementation of R package Janitor

A clean, three-column Sphinx theme with Bootstrap for the PyData community

High-Performance Python Compute Engine for Data and AI

PyData, The Complete Works of

Scalable genetics toolkit

RFC document, tooling and other content related to the array API standard

Resources for Advancing into Analytics: From Excel to R and Python by George Mount (O'Reilly Media, 2021)

A consistent table management library in python

Notebooks for the Seattle PyData 2017 talk on Scattertext

Social network analysis code examples for PyCon 2019 talk

Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.