Mar 8, 2025 · This tutorial is a beginner-friendly guide for learning data structures and algorithms using Python. In this article, we will discuss the in-built data structures such as lists, tuples, dictionaries, etc. and some user-defined data structures such as linked lists , trees , graphs , etc.

Feb 27, 2025 · Whether you're building applications or preparing for tech interviews at companies like Google, Microsoft, or Netflix, DSA knowledge is crucial. This roadmap will guide you from basic concepts to advanced topics, enhancing your coding skills and interview performance. DSA in Python - Self-Paced Course

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 DSA in Python course begins with the basics, covering key data structures like arrays, linked lists, stacks, queues, and hash tables. You will also learn how to implement these in Python and understand how theyre used in real-world applications.

Searching and sorting are fundamental operations in Data Structures and Algorithms (DSA) with Python. Searching involves finding a specific element within a collection of data, using techniques like linear or binary search. Sorting arranges data in a specific order, such as ascending or descending, using algorithms like quicksort or mergesort.

Learn the basics of Python and data structures. Use practice modules to boost your coding and logic. End the roadmap with projects to showcase your Python abilities.

Take your first steps into data structures and algorithms in Python! Learn about nodes, the building-block data structure. Learn about linked lists and how to build them in Python. Learn about doubly linked lists and how to implement them in Python. Learn about queues and how to implement them in Python. Learn about stacks in Python.

This repository contains comprehensive notes and practical implementations covering various topics in Data Structures and Algorithms. From theoretical concepts to hands-on coding examples, this repository aims to provide a holistic understanding of DSA.

Learn about what’s behind the hood of most of your computer interactions in this four-hour course! You’ll familiarize yourself with some of the most common data structures: linked lists, stacks, queues, and trees. You’ll also implement popular algorithms, such as Depth First Search, Breadth First Search, Bubble sort, Merge sort, and Quicksort.

Master Data Structures and Algorithms (DSA) using Python at Coding Blocks. This course covers arrays, graphs, sorting algorithms, and dynamic programming. Designed for all levels, it offers hands-on coding experience, real-world projects, and expert mentorship to prepare you for interviews and careers in tech.