Crack Technical Interviews. Write Smarter Code. Solve Real Problems.
If you want to become a better programmer, ace coding interviews, or simply write faster and more efficient code, mastering data structures and algorithms is non-negotiable.
Data Structures & Algorithms in Python is your practical, step-by-step guide to understanding core computer science concepts-without drowning in theory.

This book strips away academic complexity and shows you how to apply stacks, queues, linked lists, trees, graphs, hash maps, sorting, and recursion using clean, modern Python code. You'll not only learn how each structure works, but when and why to use it to solve real-world problems.

Whether you're preparing for FAANG interviews, working on technical assessments, or improving your problem-solving skills, this hands-on guide is built to make algorithms accessible, intuitive, and actionable.

• How to implement core data structures in Python: lists, stacks, queues, trees, graphs, and hash maps

• Sorting algorithms: bubble, quicksort, merge sort, and when to use them

• Search techniques including binary search, BFS, and DFS

• Mastering recursion, backtracking, and dynamic programming

• Real-world problem-solving strategies and interview-style challenges

• How to analyze time and space complexity with Big O Notation

• Python developers aiming to level up

• Students preparing for technical interviews

• Bootcamp grads and self-taught programmers

• Anyone looking to master algorithms with hands-on Python examples