When preparing for coding interviews, brushing up on fundamentals, or simply strengthening your problem-solving skills, having quick access to high-quality cheat sheets and repositories can save you hours of searching.
Here’s a curated list of the best resources on Big-O notation, algorithms, data structures, and design patterns that every developer should bookmark.
📊 Complexity & Big-O Notation
- Big-O Cheat Sheet A visual and practical guide to time & space complexities for common algorithms and data structures. Perfect for quick interview prep.
- Algorithms & Data Structures Notes A detailed breakdown of Big-O with explanations and examples.
💻 Technical Interview Prep
- Tech Interview Cheat Sheet Covers common interview concepts like arrays, linked lists, recursion, and system design pointers.
🗂️ Data Structures
- Data Structures Cheat Sheet (PDF) Printable reference for quick lookups.
- C++ Data Structures Notes A deep dive into C++-based data structures.
- OOP Design in Java Covers object-oriented principles alongside classic algorithms and data structures.
🔍 Algorithms
- Algorithmic Cheat Sheet A concise reference for algorithm categories and use-cases.
- Sedgewick & Wayne — Algorithms (4th Edition) A highly recommended standard textbook with companion materials.
- VisuAlgo An interactive platform to see how algorithms work (sorting, graphs, trees, etc.).
📚 Bonus — Code Repositories
Java
Python
JavaScript
C++
💡 Final Thoughts
Whether you’re preparing for your next coding interview, revising for exams, or just brushing up your skills, these resources cover everything from Big-O analysis to hands-on code implementations.
👉 Bookmark this post, share it with your peers, and remember:
Continuous learning never stops.
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