The pandas we are going to obsess over in this book are not the cute and lazy animals that also do kung fu when needed.
pandas is a high-performance open source library for data analysis in Python developed by Wes McKinney in 2008. pandas stands for panel data, a reference to the tabular format in which it processes the data. It is available for free and is distributed with a 3-Clause BSD License under the open source initiative.
Over the years, it has become the de-facto standard library for data analysis using Python. There's been great adoption of the tool, and there's a large community behind it, (1,200+ contributors, 17,000+ commits, 23 versions, and 15,000+ stars) rapid iteration, features, and enhancements are continuously made.
Some key features of pandas include the following:
- It can process a variety of datasets in different formats: time series...
