Mar 8, 2025 · DSA (Data Structures and Algorithms) is the study of organizing data efficiently using data structures like arrays, stacks, and trees, paired with step-by-step procedures (or algorithms) to solve problems effectively.

Sep 8, 2021 · We just released a course on the freeCodeCamp YouTube channel that is a beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments. In this course, you will:

Learn what data structures and algorithms are, why they are useful, and how you can use them effectively in Python.

Being well-versed with data structures and algorithms means being able to take everyday problems and solve them using efficient code. You’ll be practising this in Python, you’ll take these fundamental and transferable skills with you to any programming language.

Built with years of experience by industry experts this Data Structures and Algorithms in Python course gives you a complete package of video lectures, practice problems, quizzes, discussion forums, contests, and instant doubt-support.

So, we came up with a one-stop solution for all of your queries i.e., our Self-paced Data Structure and Algorithms in Python, where you will learn complete DSA in Python from scratch. We will be covering the following things in this course:

This course is a beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you ace coding assessments and technical interviews.

Sep 14, 2024 · Data structures determine how we organize and store data, whereas algorithms define how we alter and analyze that data to accomplish a certain purpose. In this guide, we’ll explore Python's...

Jul 8, 2023 · Data structures and algorithms are essential tools for organizing and manipulating data efficiently. In this beginner's guide, we explored basic data structures such as lists, dictionaries, and sets, along with fundamental algorithms like linear search, bubble sort, and binary search in Python.

With the aid of practical and thoroughly explained illustrations, we will go over the built-in data structures like lists, sets, dictionaries, tuples, etc., as well as a few other user-defined data structures like linked trees, lists, and graphs, as well as some commonly used algorithms.