Data Structures & Algorithms
The interview course. Master every core data structure and algorithm pattern in Python, then prove it with 180+ LeetCode solutions and a dedicated interview-prep track.
https://github.com/waleedkhokar/python-ai-engineering-journey/tree/main/08%20Data-Structures-and-Algorithms — so you always land in the right place, never on a guessed sub-folder.What You Will Learn
All Classes
Every class in this course, in order — with exactly what each class teaches. Notes, code and interview prep for each class live in the course folder on GitHub.
Complexity Analysis
Big O, time and space complexity, amortized analysis.
Linked Lists
Singly, doubly and circular lists, reversal, cycle detection.
Hash Tables
Hash maps, sets, collision handling, frequency counting.
Sorting Algorithms
Merge sort, quick sort, heap sort, counting sort.
Trees
Binary trees, traversals (in-order, pre-order, post-order), BFS and DFS.
Heaps & Priority Queues
Min-heap, max-heap, top-K problems, heapify.
99 — LeetCode Solutions
Solved problems from the course folder, grouped by difficulty.
Interview Preparation
Every class in this course includes interview preparation. Open the course folder on GitHub for the full material.
Common Interview Questions
The questions interviewers actually ask on this course's topics, with clear, structured answers.
Open Interview PrepCoding Challenges
Hands-on problems for each class, so you can prove the skill, not just describe it.
Open Interview PrepCommon Mistakes to Avoid
The errors beginners make with these topics — and how professionals avoid them.
Open Interview PrepBest Practices
How working engineers write this code in production: clean, tested and maintainable.
Open Interview Prep