# pandas: powerful Python data analysis toolkit

Date: Feb 26, 2020 Version: 0.25.3

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`pandas` is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

See the Package overview for more detail about what’s in the library.

- What’s new in 0.25.2 (October 15, 2019)
- Installation
- Getting started
  - Package overview
  - 10 minutes to pandas
  - Essential basic functionality
  - Intro to data structures
  - Comparison with other tools
  - Tutorials
- User Guide
  - IO tools (text, CSV, HDF5, …)
  - Indexing and selecting data
  - MultiIndex / advanced indexing
  - Merge, join, and concatenate
  - Reshaping and pivot tables
  - Working with text data
  - Working with missing data
  - Categorical data
  - Nullable integer data type
  - Visualization
  - Computational tools
  - Group By: split-apply-combine
  - Time series / date functionality
  - Time deltas
  - Styling
  - Options and settings
  - Enhancing performance
  - Sparse data structures
  - Frequently Asked Questions (FAQ)
  - Cookbook
- Pandas ecosystem
- API reference
  - Input/output
  - General functions
  - Series
  - DataFrame
  - Pandas arrays
  - Panel
  - Index objects
  - Date offsets
  - Window
  - GroupBy
  - Resampling
  - Style
  - Plotting
  - General utility functions
  - Extensions
- Development
  - Contributing to pandas
  - Internals
  - Extending pandas
  - Developer
- Release Notes

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