AI Agent Skills

Working with molecular structures in pandas DataFrames

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

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)

C++ DataFrame for statistical, financial, and ML analysis in modern C++

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

Jupyter notebook and datasets from the pandas video series

Exchange calendars to use with pandas for trading applications

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.

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.