AI Agent Skills

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

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

Jupyter notebook and datasets from the pandas video series

📊📈 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)

Exchange calendars to use with pandas for trading applications

Working with molecular structures in pandas DataFrames

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

Excel-to-Neo4j knowledge graph examples: legacy py2neo v3 plus modern Neo4j GraphRAG/vector search.

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

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

🚀 The production-ready and incredibly-fast python library to support stock statistics and indicators, based on `pandas.DataFrame`

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

Visualizer for pandas data structures

Technical Analysis Library using Pandas and Numpy

Optimized LLM-Powered Data Processing: up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code