#algorithms Cheatsheets
A quick reference guide to graph algorithms, commonly used in coding interviews. Covers fundamental algorithms, their complexities, and common use cases.
A quick reference guide to fundamental programming concepts, covering data structures, algorithms, paradigms, and more. Useful for students and experienced developers alike.
A comprehensive cheat sheet covering fundamental machine learning concepts, algorithms, and techniques. Useful for quick reference and understanding key aspects of machine learning workflows.
A quick reference guide to common algorithms and data structures in computer science, covering time complexity, pseudocode, and applications.
A comprehensive cheat sheet covering essential Artificial Intelligence concepts, algorithms, and techniques. This guide is designed to provide a quick reference for AI practitioners and students.
A concise cheat sheet covering common sorting algorithms, their time complexities, and pseudocode for quick reference during coding interviews and algorithm analysis.
A comprehensive cheat sheet for C++ programming, covering syntax, data structures, standard library functions, and common algorithms.
A concise guide to recursion and backtracking, fundamental algorithmic techniques, with examples and considerations for interview preparation.
A concise guide offering effective strategies and techniques for acing coding interviews, covering preparation, problem-solving, communication, and follow-up.
A quick reference guide to algorithmic problem-solving techniques, data structures, and common algorithms, useful for coding interviews and general problem-solving.
A concise guide to understanding and analyzing the time complexity of algorithms, essential for technical interviews and efficient programming.
A cheat sheet filled with tips and tricks to help you succeed in competitive programming contests. Covers problem-solving strategies, common algorithms, and useful coding techniques.
A concise reference for fundamental computer science concepts, algorithms, data structures, and programming paradigms. Ideal for students and professionals alike.
An essential guide to discrete functions for students of computer science, mathematics, and engineering. This cheat sheet covers core definitions, types of functions, sequences, special functions, and asymptotic growth, providing clear examples and key insights.
A comprehensive guide to regular expressions and text manipulation techniques, essential for algorithms and interview preparation.
A concise guide to Dynamic Programming concepts, techniques, and common patterns for algorithm design and interview preparation.
A quick reference guide to common data structures, their properties, and common use cases. This cheatsheet provides a concise overview for developers and students.
A comprehensive cheat sheet covering key concepts in quantum computing, including entanglement, quantum gates, algorithms, and the Bloch sphere.
A comprehensive cheat sheet covering essential Java data structures, algorithms, and object-oriented concepts for exam preparation. Includes recursion, generics, sorting, Big-O notation, and more.
A concise cheat sheet outlining the key concepts, algorithms, and differences between supervised and unsupervised learning methods in machine learning.