Mastering Python: A Comprehensive Guide to OOP, Pandas, and Matplotlib

1. Object-Oriented Programming (OOP):
Object-Oriented Programming is a programming paradigm that uses objects, which bundle data and methods that operate on the data, to design and organize code. In Python, everything is an object, and you can create your own classes and objects.

2. Pandas:
Pandas is a powerful library for data manipulation and analysis. It provides data structures like Series and DataFrame that are designed to handle and analyze structured data easily.

3. Matplotlib:
Matplotlib is a popular 2D plotting library for creating static, animated, and interactive visualizations in Python. It provides a variety of plotting options for visualizing data.

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