The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Modin: Scale your Pandas workflows by changing a single line of code
- dataframe
- pandas
- distributed
- datascience
A terminal spreadsheet multitool for discovering and arranging data
the portable Python dataframe library
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
High performance datastore for time series and tick data
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
- graph
- visualization
- gpu
- graphistry
Lightweight and extensible compatibility layer between dataframe libraries!
Jupyter magics and kernels for working with remote Spark clusters