What’s the Best Way to Improve at Data Structures and Algorithms?

Check out this resource from Khan Academy [here](https://www.khanacademy.org/computing/computer-science/algorithms). It has solid content on algorithms and is great for self-paced learning.

Pick a roadmap for your learning and stick with it! Start with the basics like arrays, strings, and linked lists, then move to trees and graphs, and finally dynamic programming. Solving problems daily on platforms like LeetCode really helps solidify your understanding.

The best way to get good at data structures and algorithms is through consistent practice. While guides can provide information, nothing beats hands-on training. Try designing algorithms and writing proofs. Focusing on exercises like building depth-first and breadth-first search algorithms, both iteratively and recursively, is key. A good resource is this book [here](https://jeffe.cs.illinois.edu/teaching/algorithms/book/00-intro.pdf) that provides explanations and exercises on various topics.

Learning algorithms can feel a lot like mastering composition in art. You can read all the theory, but until you dive into problem-solving regularly, it won't click. Trying a few problems each day builds your intuition. A tip that worked for me was writing out solutions by hand, which really helped slow down my thinking process.

For data structures, a lot of it can just be found online, or you can ask AI tools for help—it's really not that tough. However, for algorithms, I'd recommend enrolling in a hands-on course like those on Udemy or using platforms like codingame.com to practice coding alongside.