Mastering Data Structures in Python: Basics & Lists

Course Details

Operating Systems

Mastering Data Structures in Python: Basics & Lists - Part 1

By Zofia Nowak

Course Description

In this first part of the series, we take a deep dive into the foundational concepts behind designing and using data structures in Python. This section introduces you to the core principles of how data is organized, accessed, and manipulated in programming. We focus particularly on lists, one of the most commonly used and versatile data structures in Python.

You’ll learn how to efficiently implement lists, including methods for adding, removing, and modifying elements. We'll explore various techniques for accessing data within a list, such as indexing, slicing, and iterating, to ensure you’re able to work with lists in the most efficient way possible.

Additionally, we’ll cover performance considerations, including how the size of your list affects memory usage and execution time, and how to optimize your code for better performance when handling large datasets. By the end of this part, you’ll have a clear understanding of how to leverage Python lists to enhance the functionality and efficiency of your applications, forming a solid foundation for more advanced data structures.