This repository contains a collection of recipes, tutorials, and examples for using the Pandas library in Python for data manipulation, analysis, and visualization.
Pandas is a powerful open-source data analysis and manipulation library for Python. It provides easy-to-use data structures and functions to work with structured data efficiently. Whether you're just starting with Pandas or looking to expand your knowledge, this cookbook offers a range of practical examples and solutions to common data manipulation tasks.
The repository is organized into the following sections:
- Introduction to Pandas: Basic tutorials and guides for getting started with Pandas.
- Data Manipulation: Recipes for common data manipulation tasks such as filtering, sorting, merging, and transforming data.
- Data Analysis: Examples of data analysis techniques including aggregation, grouping, and statistical analysis.