Data Structures

Abdul Bari Algorithms Playlist

Full course on DS and Algo

MIT 6.006 Lecture 1: Intro to Algorithms

MIT intro series (praised in r/csMajors)

freeCodeCamp Data Structures Full Course

JavaScript-focused DS&A (frequent mention in r/cscareerquestions)

Data Structures and Algorithms in Java

Abdul Bari's full course (top rec in r/algorithms)

Data Structures Easy to Advanced

William Fiset's comprehensive playlist on data structures (highly upvoted on r/learnprogramming)

Abdul Bari Algorithms Playlist Intro

Highly recommended Abdul Bari lecture on data structures.

Data Structures and Algorithms Full Course

freeCodeCamp's comprehensive DSA course.

🎓Courses(7)

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Introduction to Algorithms

Learn fundamental data structures and algorithms from MIT professors Demaine and Devadas. This introductory course covers key concepts!

advanced🇬🇧

Data Structures and Algorithms

Master data structures and algorithms with this free course from freeCodeCamp.org! Learn to code efficiently and prepare for technical interviews.

Data Structures and Algorithms in Python

Master data structures and algorithms using Python! Free course from freeCodeCamp.org covers essential computer science concepts.

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Algorithms, Fourth Edition (upon which the course is based) or visit the website algs4.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion.

Master the Coding Interview: Data Structures + Algorithms

Ace your coding interview! Master data structures and algorithms with Andrei Neagoie's comprehensive course.

Data Structures and Algorithms

Welcome to the Data Structures and Algorithms course! Dive into the essential principles and techniques that form the backbone of computer science and software development. This comprehensive course explores the efficient organization, storage, and manipulation of data using various data structures such as arrays, linked lists, stacks, queues, hash tables, trees, and graphs. You will learn how to implement these structures in your code, optimize their performance, and solve complex computational problems through algorithm design and analysis. Master key concepts including sorting algorithms like quicksort, mergesort, and insertion sort, graph algorithms including BFS and DFS for traversals, and shortest path calculations. Understand the intricacies of tree structures such as binary trees and AVL trees, and harness the power of hash tables for fast data access and storage. The course emphasizes real-world applications, memory management, and performance optimization, equipping you with problem-solving skills crucial for data science, software development, and IT roles. Designed for individuals who are new to data structures or those looking to enhance their computational skills, this course provides a robust foundation for advanced topics in computer science. By the end of this course, you will develop critical thinking, algorithmic problem-solving abilities, and a deeper understanding of data management, enabling you to translate complex computational problems into efficient algorithmic solutions.

Data Structures

A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this online course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures. A few examples of questions that we are going to cover in this class are the following: 1. What is a good strategy of resizing a dynamic array? 2. How priority queues are implemented in C++, Java, and Python? 3. How to implement a hash table so that the amortized running time of all operations is O(1) on average? 4. What are good strategies to keep a binary tree balanced? You will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!

📚Books(1)

book👁️ 0

Data Structures and Algorithm Analysis

Data Structures and Algorithm Analysis - A book resource

🌐Websites(9)

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NeetCode

DS&A roadmap and videos

USFCA Data Structures

Free textbook and resources (underrated gem from r/learnprogramming)

LeetCode

Practice problems tagged by DS (practitioner favorite)

NeetCode

Curated list of problems and video explanations for DSA.

Visualgo

Interactive visualizations for data structures and algorithms.

GeeksforGeeks

Comprehensive tutorials and problems on data structures.

geeksforgeeks.org

GeeksforGeeks is a comprehensive computer science resource offering tutorials, explanations, and code examples on data structures and algorithms, along with practice problems and interview preparation material.

leetcode.com

LeetCode is an online coding practice platform offering hundreds of data structures and algorithms problems, an online judge, and interview-prep resources including contests and mock interviews.

visualgo.net

Visualgo.net is an interactive visualization platform for data structures and algorithms, offering animated, step-by-step demonstrations of how structures like arrays, linked lists, stacks, queues, trees, and graphs work, along with common algorithms and operations.