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

PyData, The Complete Works of

Scalable genetics toolkit

High-Performance Python Compute Engine for Data and AI

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.