Projects with this topic
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Multidimensional arrays for C++. (Conditionally accepted Boost library) GitHub mirror: https://github.com/correaa/boost-multi
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Accepted LeetCode submissions synced with LeetHub and organised by problem for daily algorithm practice, data structures and interview preparation.
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Accepted NeetCode submissions synced from the platform with topic based folders, multi language solutions and interview preparation practice.
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Codeforces practice archive with contest and rating based solutions, local build scripts, progress notes and competitive programming workflow.
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Reusable algorithm and data structure templates for fast competitive programming practice in Python, C++, Java and other languages.
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Structured competitive programming workspace with LeetCode, NeetCode and Codeforces solutions plus reusable templates across multiple languages.
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igraph graph algorithm library bindings for Kit
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Algorithms and data structures implemented in C, guided and inspired by Low Level Learning
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Algorithms Exercises solved in C++17, running with CMake and Catch2 unittest framework. Developed with TDD.
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[CC BY-NC-SA] A compendium of the community knowledge on game design and development
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Daily LeetCode practice – clean solutions, explanations, and daily updates.
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Algorithms Exercises solved in C (GNU11), running with CMake and Catch2 (C++) unittest framework. Developed with TDD.
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Leonardus is an open source project. It is a minimalist, stack-based programming system designed as a flexible framework for implementing and exploring algorithms. The syntax and semantics of its scripting language, LeoScript, are inspired by PostScript and Forth. It is extended with a prototype-based, object-oriented paradigm, has seamless integration into JupyterLab and Docker, and provides a concise and expressive environment for learning and experimentation.
The project name is a nod to Leonardus Pisanus, who was named and became known as Fibonacci.
Consult the project's GitLab Pages for documentation.
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High-performance data structures and algorithms library for Zig. Includes graphs, trees, caching, string search, and serialization (DOT/GQL).
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Framework for modeling financial systems using weighted automata, with analysis of worst-case and best-case outcomes
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My lab assignments for IT013IU Data Structures & Algorithms course at HCMIU.
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Low-frequency Excision of the Atmosphere in Parallel (LEAP) Calibration using GPU acceleration.
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Object oriented python implementation of a user driven workout scheduler. With the use of recursive algorithms and user input, it creates optimal workouts for the user.
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Standard and useful data structures and algorithms implemented in C.
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