Overview

This chapter covers fundamental data structures in Python, focusing on their implementation, use cases, and performance characteristics. We explore both built-in Python data structures and specialized libraries for data manipulation and analysis.

Lectures

Basic Data Structures

• Lists: Python's versatile sequence type
• Stack: Last-In-First-Out (LIFO) data structure
• Queue: First-In-First-Out (FIFO) data structure
• Hash Map: Key-value storage with O(1) operations

Advanced Data Processing

• NumPy Arrays: Efficient numerical computing
• Pandas DataFrame: Data manipulation and analysis
• Polars: Modern, high-performance DataFrame library
• Multiprocessing: Parallel processing techniques