How to: Data Analysis
_Libraries for data analysis._

- [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
- [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
- [desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery.
- [optimus](https://github.com/hi-primus/optimus) - Agile Data Science Workflows made easy with PySpark.
- [pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
- [pathway](https://github.com/pathwaycom/pathway) - Real-time data processing framework for Python with reactive dataflows.
- [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API.