AI Agent Skills

An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much…

📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)

Kotlin DataFrame: typesafe in-memory structured data processing for JVM

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

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

Modin: Scale your Pandas workflows by changing a single line of code

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQ…

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

cuDF - GPU DataFrame Library

Visualizer for pandas data structures

Java dataframe and visualization library

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Python library for using dplyr like syntax with pandas and SQL