LeetCode & System Design
Problem Solving and Interview Preparation
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LeetCode Problems
Check out the books on react which were really helpful
Resource Links
LeetCode
The leading platform for practicing coding problems, preparing for technical interviews, and honing problem-solving skills.
Visit Resource →HackerRank
Offers coding challenges across multiple domains (Algorithms, SQL, AI) and serves as a platform for company hiring challenges.
Visit Resource →GeeksforGeeks
A comprehensive computer science portal with tutorials, articles, and one of the largest collections of interview problems.
Visit Resource →Algorithm Visualizer
An interactive site that animates data structures and algorithms to help understand their mechanics.
Visit Resource →NeetCode
Provides structured roadmaps (like NeetCode 150) with high-quality video explanations for LeetCode problems.
Visit Resource →Striver's A2Z DSA Sheet
A highly regarded, structured sheet of DSA problems that is extremely popular for mastering topics in a logical order.
Visit Resource →ByteByteGo
A Interview Coding practice platform.
Visit Resource →Educative: Grokking the System Design Interview
A popular text-based course that teaches a scalable approach to tackling system design interview questions.
Visit Resource →System Design Primer
A fantastic open-source GitHub repository that covers a wide range of system design topics with study guides and examples.
Visit Resource →IndiaBIX
A massive, free resource for practicing quantitative aptitude, verbal ability, and logical reasoning questions with explanations.
Visit Resource →Pramp
A free platform to conduct live, anonymous mock interviews (both technical and behavioral) with other peers.
Visit Resource →Glassdoor
Check the "Interviews" section for any company to find real interview questions and experience reports shared by candidates.
Visit Resource →Books Used
Coding Interview patterns
Grokking Algorithms
Classic Computer Science Problems
Cracking the Coding Interview
Books Still to be Read
System Design Interview – An Insider's Guide
Designing Data-Intensive Applications