Search Results for "data structures c"
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1923 projects for "data structures c" with 1 filter applied:
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Algorithms & data structures project
A collection of algorithms and data structures
Algorithms is an educational collection of data structures and algorithms implemented primarily in Java. Its goal is to demonstrate common techniques through clear and elegant reference implementations. The repository covers trees, heaps, hash tables, graphs, dynamic programming, geometry, searching, sorting, strings, and many other topics. Complexity information is documented for many algorithms to help users understand performance characteristics. -
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Pythonic Data Structures and Algorithms
Minimal examples of data structures and algorithms in Python
The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. -
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JavaScript Algo and Data Structures
Algorithms and data structures implemented in JavaScript
javascript-algorithms is an open source repository by Oleksii Trekhleb that provides implementations of algorithms and data structures in JavaScript. Each algorithm includes explanations, complexity analysis, and references for further reading, making it both a coding resource and a study guide. The repository covers topics such as sorting, searching, graph algorithms, cryptography, and data structures like linked lists, stacks, and queues. It is designed to help developers understand algorithm fundamentals and practice problem-solving with JavaScript. ... -
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The Algorithms - C++ #
Collection of various algorithms in mathematics, machine learning
TheAlgorithms/C-Plus-Plus is a large open-source repository that collects implementations of many classic algorithms and data structures written in the C++ programming language. The project is part of the broader “The Algorithms” initiative, which maintains algorithm implementations in several programming languages to support education and knowledge sharing. -
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Comprehensive Python Cheatsheet
Comprehensive Python Cheatsheet
...The project is designed to help developers quickly recall language features without digging through full documentation, making it especially useful for both beginners and experienced programmers. It covers a broad range of topics including data structures, control flow, functions, object-oriented programming, standard library usage, and common patterns. The repository includes both web and printable versions, allowing users to access the material in multiple formats depending on their workflow. Because it is continuously maintained, the cheatsheet reflects modern Python usage and practical conventions. ... -
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lockfree
A collection of lock-free data structures written in standard C++11
lockfree is a collection of lock-free data structures written in standard C++11 and suitable for all platforms - from deeply embedded to HPC. Lock-free data structures are data structures that are thread and interrupt-safe for concurrent use without having to use mutual exclusion mechanisms. They are most useful for inter-process communication and often scale much better than lock-based structures with the number of operations and threads. -
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SeedCrackerX
Minecraft mod designed to reverse-engineer
SeedcrackerX is a Minecraft mod designed to reverse-engineer and determine a world’s seed by analyzing in-game structures and environmental data. It operates by collecting information from structures such as shipwrecks, temples, and monuments, then using that data to progressively narrow down possible seeds until the correct one is identified. The mod automates much of this process, initiating cracking procedures once sufficient data has been gathered, often requiring only exploration of specific structures. ... -
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C.A.F.E.
The "Third Way" for Home Assistant Automations
...The editor lets users drag and drop nodes to represent triggers, conditions, actions, and variable manipulation, and then compiles those flows into highly readable and native YAML that is fully compatible with Home Assistant. Users can import existing automations to visualize and edit them, and CAFE respects the same underlying data structures so the native automation editor and CAFE can interoperate on the same logic. -
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The Generic Data Structures Library (GDSL) is a collection of routines for generic data structures manipulation. It is a portable and re-entrant library fully written from scratch in pure ANSI C. It is designed to offer for C programmers common data structures with powerful algorithms, and hidden implementation. Available structures are lists, queues, stacks, hash tables, binary trees, binary search trees, red-black trees, 2D arrays, permutations, heaps and interval heaps. ...
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CPlusPlusThings
Collection of various C++ code samples, utilities, patterns
...Example implementations of data structures and algorithms. Organized as a learning repository (rather than a production framework). Encourages reuse and adaptation by developers as a reference. Collection of C++ utility code snippets/helper modules. -
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go-algorithms
Algorithms and data structures for golang
go-algorithms is an open-source educational repository that provides implementations of common algorithms and data structures written in the Go programming language. The project is designed primarily as a learning resource to help developers understand how fundamental computer science concepts can be implemented idiomatically in Go. It includes a wide range of classic sorting, searching, and numerical algorithms alongside basic collection structures such as stacks, queues, linked lists, and binary trees. ... -
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Christmas Tree
Just a simple Christmas tree, based on reddit story
atree is a lightweight JavaScript library for managing and visualizing hierarchical tree data structures in a flexible and efficient way. It offers core abstractions for creating nodes, building parent–child relationships, and traversing trees with utilities for depth, breadth, and custom iteration strategies. Because tree structures are ubiquitous in computing—from file systems and organizational charts to DOM structures and evolutionary taxonomies—atree provides a reusable foundation for representing and interacting with nested data. -
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LLaMA-Mesh
Unifying 3D Mesh Generation with Language Models
...The project includes a supervised fine-tuning dataset composed of interleaved text and mesh data, allowing the model to learn relationships between textual descriptions and 3D structures. As a result, the model can generate mesh models directly from text prompts, explain mesh structures in natural language, or output mixed text-and-mesh sequences. This unified representation enables a single model to operate across both textual and spatial domains. -
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MIME Component
Allows manipulating MIME messages
Symfony Mime is a component that facilitates the creation, manipulation, and parsing of MIME messages. It is commonly used for handling email content and attachments in Symfony applications. The component supports building complex email structures, including multi-part messages, and correctly encoding text and binary data. Mime is an essential part of Symfony Mailer but can be utilized independently to handle MIME message generation. -
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Graphify
AI coding assistant skill (Claude Code, Codex, OpenCode, OpenClaw)
Graphify is a data visualization and transformation tool designed to convert structured or semi-structured data into graph-based representations, enabling better understanding of relationships and dependencies. It focuses on building visual models such as nodes and edges that represent entities and their connections, making complex datasets easier to interpret. The system likely supports dynamic updates, allowing graphs to evolve as data changes or new inputs are introduced. It is... -
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Symfony Cache
Provides extended PSR-6, PSR-16 (and tags) implementations
Symfony Cache is a powerful caching library that provides a consistent API for caching data in PHP applications. It supports a variety of cache backends, including Redis, Memcached, and filesystem caching. The component is highly efficient, with features like tag-based invalidation and hierarchical cache structures, making it suitable for both small and large-scale applications. -
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Pysheeet
Python Cheat Sheet
Pysheeet is a community-driven collection of Python code snippets covering common patterns and tasks like sockets, file I/O, data structures, and more. Each snippet is concise and battle-tested, designed to save coding time and reduce boilerplate. With documentation hosted on Read the Docs and an active GitHub repo, it’s a go-to resource for Python developers. -
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Kint
Kint - Advanced PHP dumper
Kint is a PHP debugging tool that provides developers with an intuitive and highly informative way to inspect variables and data structures. It replaces standard debugging methods like var_dump() and print_r() with a more readable and structured output, highlighting key details and nesting. Kint is designed to simplify debugging by automatically detecting variable types and presenting them in a clean, interactive format. -
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wombat
Lightweight Ruby DSL for scraping structured data from web pages
...The DSL approach helps make scraping definitions more readable and maintainable, especially when dealing with multiple fields or nested data structures. Because it is implemented as a Ruby library, it integrates easily into Ruby applications and scripts that need to gather information from web pages. Wombat also includes examples and tests that demonstrate how scraping definitions can be written and executed within Ruby environments. -
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Easy3D
Efficient library for processing 3D data
Easy3D is a lightweight, easy-to-use, and efficient library for processing and rendering 3D data, implemented in C++ with Python bindings. It is designed for tasks such as 3D modeling, geometry processing, and rendering, emphasizing simplicity and efficiency. Easy3D serves as a valuable tool for research, education, and the development of sophisticated 3D applications, providing a solid foundation for handling 3D data. -
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glom
Python's nested data operator
glom is a Python library and command-line tool for accessing, restructuring, and transforming nested data. It is designed for real-world data structures where dictionaries, objects, and lists are deeply nested and difficult to handle cleanly. Developers can use path-based access to retrieve values without writing long chains of fragile indexing code. The library also provides readable error messages, which makes debugging broken paths much easier. -
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BSON parser
BSON Parser for node and browser
BSON parser is the core JavaScript implementation of BSON (Binary JSON), the data format used by MongoDB to represent documents on the wire and in storage. It provides encoding and decoding capabilities so JavaScript environments like Node.js and browsers can serialize rich data structures (including types not native to JSON) into the compact, efficient BSON binary representation used by MongoDB drivers and servers. -
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Nelmio Alice
Expressive fixtures generator
Nelmio Alice is a PHP library designed to generate complex data fixtures for testing and development environments. It uses YAML, XML, or PHP files to define fixture templates, making it easy to create realistic and varied data sets. Alice integrates well with Doctrine ORM, allowing developers to quickly populate databases with test data, making it especially useful for automated testing and staging environments. -
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Valibot
Modular and type safe schema library for validating structural data
Valibot is a modular and type-safe schema library for validating structural data. It provides developers with tools to define and enforce data schemas, ensuring data integrity and consistency across applications. -
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GQty
The No-GraphQL Client for TypeScript
GQty is a TypeScript-first GraphQL client that removes the need to handwrite and maintain GraphQL queries in many application workflows. Instead of manually defining query documents, developers access data through generated, strongly typed client structures. The library automatically tracks what data the application uses and turns that into GraphQL operations. This helps reduce duplicated schema knowledge between front-end code and query files. It also surfaces API-breaking changes through TypeScript errors, so developers can see failures directly in their editor. ...
