Skip to main content

Resources

📚 Guide to Competitive Programming​

This resource is a comprehensive guide to competitive programming, focusing on learning and improving algorithms through programming contests. It covers various topics essential for competitive programming, from basic concepts to advanced techniques.

Details

URL: 🔗 https://doi.org/10.1007/978-3-030-39357-1

Published: October 2017 (First Edition), February 2020 (Second Edition)
Last Updated: February 2020

Authors: Antti Laaksonen

Tags:
Competitive Programming, Algorithms, Data Structures, Graph Theory, Dynamic Programming

Key Points​

  • Comprehensive introduction to competitive programming
  • Focuses on algorithm design and implementation
  • Covers advanced topics like Fourier transform, minimum cost flows, and string automata
  • Practical examples and problem-solving techniques
  • Includes a collection of problems for practice

Summary of Contents​

  • Introduction:
    • Defines competitive programming
    • Discusses the importance of algorithm design and implementation
    • Highlights various programming contests and tips for practicing
  • Main Sections:
    • Programming Techniques:
      • Language features, recursion, and bit manipulation
    • Efficiency:
      • Time complexity, algorithm design examples, code optimization
    • Sorting and Searching:
      • Various sorting algorithms, binary search, and practical applications
    • Data Structures:
      • Dynamic arrays, set structures, and experiments with different data structures
    • Dynamic Programming:
      • Basic concepts, examples, and problem-solving techniques
    • Graph Algorithms:
      • Basic graph concepts, traversal techniques, shortest paths, and advanced graph algorithms
    • Mathematics:
      • Number theory, combinatorics, matrices, probability, and game theory
    • String Algorithms:
      • Trie structures, string hashing, Z-algorithm, and suffix arrays
    • Additional Topics:
      • Square root techniques, advanced segment trees, treaps, and dynamic programming optimization
  • Technical Details:
    • Examples in C++
    • Standard library usage for data structures and algorithms
    • Focus on practical problem-solving and algorithm implementation
  • Applications and Examples:
    • Practical examples provided for each topic
    • Problems from real contests to illustrate concepts
    • CSES Problem Set for practice
  • Conclusion:
    • Emphasizes the value of competitive programming in learning algorithms
    • Encourages participation in contests to improve problem-solving and programming skills
Link to Resource→

📚 Competitive Programming​

A comprehensive guide to advanced competitive programming techniques, designed to help programmers excel in programming contests like ACM ICPC and IOI. The book provides in-depth coverage of algorithms, data structures, problem-solving paradigms, and specific problem types encountered in competitive programming.

Details

URL: 🔗 https://cpbook.net/

Published: 2011
Last Updated: Not specified

Authors: Steven Halim, Felix Halim

Tags:
Competitive Programming, Algorithms, Data Structures, Graph Theory, Dynamic Programming, Mathematics, String Processing

Key Points​

  • Extensive coverage of data structures and algorithms
  • Detailed problem-solving strategies
  • Practical examples and problems from real contests
  • Emphasis on both ICPC and IOI contest preparation
  • Includes both C++ and Java implementations

Summary of Contents​

  • Introduction:
    • Importance of competitive programming
    • Tips for becoming competitive, including problem identification, algorithm analysis, and mastering programming languages
  • Main Sections:
    • Data Structures and Libraries:
      • Linear and non-linear data structures
      • Implementations using built-in and custom libraries
    • Problem Solving Paradigms:
      • Techniques like complete search, divide and conquer, greedy algorithms, and dynamic programming
    • Graph Algorithms:
      • Traversal techniques, shortest paths, minimum spanning trees, maximum flow, and special graph types
    • Mathematics:
      • Number theory, combinatorics, probability, game theory, and matrix operations
    • String Processing:
      • Basic string operations, string matching, and advanced structures like suffix trees and arrays
    • Computational Geometry:
      • Handling geometric objects and algorithms
    • More Advanced Topics:
      • Problem decomposition, advanced search and dynamic programming techniques
  • Technical Details:
    • Examples primarily in C++ with enhanced Java support in the second edition
    • Use of standard library functions and custom implementations
  • Applications and Examples:
    • Practical examples illustrating each concept
    • Exercises and problems from UVa Online Judge and other contests
    • Detailed hints and solutions for complex problems
  • Conclusion:
    • Encourages multiple readings and continuous practice
    • Aims to elevate the lower bound of programming contest knowledge and skills
Link to Resource→

📚 Swift Coding Challenges​

A collection of Swift coding challenges designed to prepare developers for iOS interviews, test skills against peers, and improve problem-solving abilities. This resource covers various topics such as strings, numbers, files, collections, and algorithms.

Details

URL: 🔗 https://www.hackingwithswift.com/books/coding-challenges

Published: May 25, 2019
Last Updated: May 25, 2019

Authors: Paul Hudson

Tags:
Swift, Coding Challenges, Algorithms, Data Structures, iOS Development

Key Points​

  • Provides a variety of coding challenges in Swift
  • Focuses on practical problem-solving and real-world scenarios
  • Includes examples and detailed solutions for each challenge
  • Covers a broad range of topics including strings, numbers, files, collections, and algorithms
  • Suitable for developers with at least six months of Swift experience

Summary of Contents​

  • Introduction:

    • Emphasizes the importance of practice and hands-on coding
    • Provides instructions on how to use the book effectively

  • Strings:

    • Challenges related to string manipulation and operations
    • Examples include checking for unique letters, palindromes, and string permutations

  • Numbers:

    • Challenges involving numerical computations and operations
    • Examples include generating random numbers, implementing the pow function, and identifying prime numbers

  • Files:

    • Challenges focused on file handling and manipulation
    • Examples include printing the last lines of a file and logging messages

  • Collections:

    • Challenges dealing with arrays, dictionaries, and sets
    • Examples include counting elements, finding the median, and implementing data structures like linked lists and binary search trees

  • Algorithms:

    • Challenges related to sorting, searching, and other algorithmic problems
    • Examples include implementing sorting algorithms, balanced brackets, and solving the N-Queens problem

  • Conclusion:

    • Encourages continuous practice and exploration of different coding problems
    • Stresses the value of developing problem-solving skills through regular coding challenges
Link to Resource→

🛣️ Roadmap Resources for Competitive Programming​

This repository offers a structured collection of resources aimed at helping individuals improve their competitive programming skills. It includes practice problem sites, video tutorials, and guides on various programming topics, organized by difficulty levels.

Details

URL: 🔗 https://docs.google.com/document/d/1-7Co93b504uyXyMjjE8bnLJP3d3QXvp_m1UjvbvdR2Y/edit

Authors/Curators: 🔗 https://www.youtube.com/@ColinGalen

Tags:
Competitive Programming, Algorithms, Data Structures, Practice Problems, Tutorials

Overview​

The Roadmap Resources repository is designed to provide a clear pathway for competitive programmers at various skill levels. It aggregates resources such as practice problem websites, educational videos, and essential topic guides. Whether you're just starting out or aiming to become a highly-rated coder, this repository helps you find the right materials to improve your skills systematically.

Categories​

  • Practice Problem Sites:
    This section lists websites where users can practice coding problems, from beginner to advanced levels. Examples include 🔗 Codeforces, 🔗 CodeChef, and 🔗 AtCoder.

  • Video Tutorials and Channels:
    Curated list of YouTube channels and video playlists that cover various aspects of competitive programming, such as algorithm tutorials and live coding sessions. Featured channels include 🔗 SecondThread and 🔗 Errichto.

  • Topic-Specific Guides:
    This category includes links to articles and tutorials that focus on specific algorithms, data structures, and problem-solving techniques. Topics range from basic sorting and number theory to advanced graph algorithms and dynamic programming.

  • Additional Resources:
    A collection of miscellaneous resources, including comprehensive guides, books, and advanced topics for those looking to deepen their knowledge and skills further.

Contribution Guidelines​

Contributions to this repository are encouraged, especially new resources or corrections to existing ones. Here’s how you can contribute:

  • Submission Process:
    Fork the repository, make your changes or additions, and submit a pull request with a description of your contribution.

  • Guidelines:
    Ensure that any new resources are of high quality, up-to-date, and relevant to competitive programming. Each addition should include a brief description and, where applicable, the difficulty level.

Visit Roadmap Resources Repository→

🌐 Katas to Learn TDD​

A comprehensive guide to learning Test-Driven Development (TDD) through various coding katas. These exercises are designed to help developers practice and master TDD principles and techniques.

Details

URL: 🔗 https://kata-log.rocks/tdd

Published: Not specified
Last Updated: Not specified

Authors: Kata Log Rocks

Tags:
TDD, Katas, Software Development, Agile, Refactoring, Pair Programming

Key Points​

  • Collection of katas for different experience levels
  • Topics include Agile, BDD, SOLID principles, and more
  • Exercises designed to practice TDD and improve coding skills
  • Includes detailed descriptions and requirements for each kata

Summary of Contents​

  • Introduction:
    • Overview of TDD and its importance in software development
    • Instructions on how to approach the katas and practice TDD
  • Kata Categories:
    • Starter: Beginner-friendly katas to introduce TDD basics
    • Experienced: Advanced katas for deeper TDD practice
    • Agile: Exercises focused on Agile principles and practices
    • SOLID Principles: Katas that emphasize SOLID design principles
    • Pair Programming: Katas designed for collaborative coding
  • Example Katas:
    • Bowling Game Kata: Learn scoring logic for a bowling game using TDD
    • Fizz Buzz Kata: Implement the classic Fizz Buzz problem with tests
    • Game of Life Kata: Simulate Conway's Game of Life using TDD principles
  • Conclusion:
    • Encourages continuous practice and exploration of various katas
    • Highlights the benefits of TDD in developing robust and maintainable code
Link to Resource→