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
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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
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Tech Interview Cheat Sheet
Covers common interview concepts like arrays, linked lists, recursion, and system design pointers.
🗂️ Data Structures
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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
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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.