Pandas is a Python-created software library that assists in data analysis and manipulation. With the data structures and operations offered by Pandas, manipulating numerical tables and time series becomes a lot easier and intuitive.

The most effective use of the Pandas software library is for real-world data analysis in Python. It is a powerful and flexible open-source data analysis/manipulation tool available in any language.

Project Background

  • Project: pandas
  • Author: Wes McKinney
  • Initial Release: 2008
  • Type: Technical Computing
  • License: New BSD License
  • Contains: DataFrame, data filtration and integration of missing data, time-series functionality, and hierarchical Axis Indexing
  • Language: Python, Cython, C
  • GitHub: /pandas-dev/pandas with 31.5k stars and 2483 contributors
  • Runs On: Windows, macOS, and Linux
  • Twitter: /pandas_dev


  • Merging
  • Reshaping
  • Selecting
  • Data Cleaning
  • Data Wrangling 
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