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 Data Processing in Python

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

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

Notebooks for the Seattle PyData 2017 talk on Scattertext

Social network analysis code examples for PyCon 2019 talk

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.

Graph algorithms written in GraphBLAS

Repo for my talk at the PyData Berlin 2017 conference

Data and tooling to compare the API surfaces of various array libraries.

Introduction to sktime at the PyData Global 2021

Simple Python GIS Web Services

WORK UNDER RESTRUCTURING

A `select` accessor for easier subsetting of pandas DataFrames and Series

Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)

This is the code and presentation for my PyData2017 talk "Reverse Image Search Using Out-of-the-box Machine Learning Libraries

Histograms with task scheduling.