Data Structures and Algorithms
I'm currently finishing a CS degree, so I've had some DSA courses. Nonetheless, I don't feel I have good enough theoretical foundations or proficiency when putting them into practice. My main goal would be to prepare myself for coding interviews, but I'd also want to make sure I understand well theory. What are the best resources for learning Data Structures and Algorithms theoretical with good theoretical background that also allows you to succeed in coding interviews? Some resources I've found, but I haven't followed myself: ## Free resources - [Algorithms, Part I by Princeton University (Coursera)](https://www.coursera.org/learn/algorithms-part1) taught in Java - [6.006 Introduction to Algorithms / Electrical Engineering and Computer Science (MIT OpenCourseWare)](https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-spring-2020/) taught in Python - FreeCodeCamp article linking to other resources: [Learn Data Structures and Algorithms – Introduction and Learning Resources (FreeCodeCamp)](https://www.freecodecamp.org/news/learn-data-structures-and-algorithms/) - [Learn About Algorithms and Data Structures (FreeCodeCamp)](https://www.freecodecamp.org/news/algorithms-and-data-structures-free-treehouse-course/) taught in Python ## Paid resources - [Cracking the coding interview (Book)](https://www.crackingthecodinginterview.com/) by Gayle McDowell - [Data Structures and Algorithms Crash Course (LeetCode)](https://leetcode.com/explore/featured/card/leetcodes-interview-crash-course-data-structures-and-algorithms/)
