Learning algorithms doesn’t have to be overwhelming. Whether you’re preparing for coding interviews, brushing up on your computer science fundamentals, or exploring new problem-solving strategies, we’ve curated a set of practical, step-by-step guides to help you.
This collection is grouped by algorithm type, so you can focus on the topics that matter most to your learning journey — from classic search and traversal methods to string manipulation and sliding window techniques. Each post explains the concepts clearly, includes Python examples, and often highlights common pitfalls and optimizations.
Explore the posts below, deepen your understanding, and get ready to tackle real-world coding challenges with confidence.
Search & Traversal
These guides focus on algorithms used to efficiently explore and search data structures like arrays and trees:
- Mastering Binary Search: A Deep Dive into the Algorithm, Implementation, and Complexity
- Binary Tree Level Order Traversal: Step-by-Step Guide
Sliding Window & Window Techniques
Sliding window algorithms help reduce nested loops and optimize performance in problems involving sequences:
Linked List
Learn how to merge and manipulate linked lists — essential for many data structure interviews:
Array / Hash Map / Math Problems
Popular interview questions that can be solved with arrays, hash maps, and simple math:
- Mastering the Two Sum Problem: A Python Guide with Tests
- Finding the Missing Number: A Coding Interview Guide
String Manipulation & Checks
Classic string problems that challenge your understanding of indexing and logical reasoning:
- Mastering the Reverse String Coding Interview Question: A Comprehensive Guide
- Palindrome Check: Determining If a String Is a Palindrome
Why This Matters
Mastering these fundamental algorithms not only helps in technical interviews but also improves the way you think about problem solving in everyday programming. Each guide in this list is written to be beginner-friendly while still offering deeper insights for experienced developers.