Algorithms for Coding Interviews in Python
Your ultimate guide to algorithms for coding interviews. Master several must-know algorithms, and test your skills with real-world problems from top companies.
Join 3.1 million developers at
Join 3.1 million developers at
What you'll learn
- Apply brute force, greedy, divide-and-conquer, and dynamic programming to interview-style problems in Python
- Analyze time complexity using asymptotic analysis and Big O on loops and nested-loop variants
- Compare algorithm approaches to select an optimal solution and justify the complexity tradeoffs
- Implement core sorting and searching algorithms (selection, bubble, insertion, merge, quick, binary search)
- Solve array and string challenges such as two-sum, group anagrams, rotated search, and Dutch national flag
- Implement graph algorithms in Python including BFS, DFS, cycle detection, components, and path finding
Learning Roadmap
1.
Introduction
Introduction
2.
Algorithmic Paradigms
Algorithmic Paradigms
3.
Asymptotic Analysis
Asymptotic Analysis
22 Lessons
22 Lessons
4.
Sorting & Searching
Sorting & Searching
24 Lessons
24 Lessons
5.
Graph Algorithms
Graph Algorithms
20 Lessons
20 Lessons
6.
Greedy Algorithms
Greedy Algorithms
12 Lessons
12 Lessons
7.
Dynamic Programming
Dynamic Programming
25 Lessons
25 Lessons
8.
Divide and Conquer
Divide and Conquer
21 Lessons
21 Lessons
9.
Conclusion
Conclusion
2 Lessons
2 Lessons
Coderust
Coderust helps software developers like you ace your coding interviews. Our interactive interview-prep courses encourage you to get hands-on with the material and practice working through problems.
Trusted by 3.1 million developers working at companies
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
Software Developer
Carlos Matias La Borde
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Built for 10x Developers











