Awesome GitHub RepositoriesArray Element Modifiers

This project is a computer science educational resource and a library of common data structures and algorithms implemented in Swift. It serves as a practical reference for studying complexity and efficiency through solved algorithmic problems and conceptual guides. The collection includes implementations of linear and hierarchical data structures, such as stacks, queues, linked lists, and trees. It covers a wide range of computational patterns, including graph and pathfinding implementations, mathematical numerical methods, and data compression techniques. The project also provides implement

Dask ist ein Framework für paralleles Rechnen und ein verteilter Task-Scheduler, der darauf ausgelegt ist, Python-Data-Science-Workflows von einzelnen Maschinen auf große Cluster zu skalieren. Es fungiert als Cluster-Ressourcenmanager, der die Berechnungslogik orchestriert, indem Aufgaben und deren Abhängigkeiten als gerichtete azyklische Graphen dargestellt werden. Diese Architektur ermöglicht es dem System, die Verteilung von Workloads auf verfügbare Hardware zu automatisieren und gleichzeitig komplexe Ausführungsanforderungen zu verwalten. Das Projekt zeichnet sich durch eine Lazy-Evaluation-Engine aus, die Datenoperationen verzögert, bis sie explizit angefordert werden, was eine globale Graphoptimierung und effiziente Ressourcenzuweisung ermöglicht. Es integriert speicherbewusstes Data-Spilling, um Systemabstürze bei der Verarbeitung von Datensätzen zu verhindern, die den verfügbaren Speicher überschreiten, und nutzt Task-Graph-Fusion, um Sequenzen von Operationen in einzelne Ausführungsschritte zu kombinieren, wodurch Scheduling-Overhead und Inter-Node-Kommunikation minimiert werden. Die Plattform bietet eine umfassende Oberfläche für die Datenanalyse im großen Maßstab, einschließlich Unterstützung für verteiltes maschinelles Lernen, Integration in das Hochleistungsrechnen und parallele Datenverarbeitung. Sie bietet umfangreiche Werkzeuge für das Cluster-Lebenszyklusmanagement, Performance-Profiling und die Echtzeitüberwachung der Aufgabenausführung. Benutzer können diese Umgebungen über verschiedene Infrastrukturen hinweg bereitstellen, einschließlich lokaler Hardware, Cloud-Anbietern, containerisierten Systemen und Hochleistungsrechner-Clustern.

Xgo is a programming language that combines familiar constructs from languages like C/C++, Go, Python, and JavaScript with a natural language-style syntax that reads closer to plain English. It executes programs compatible with the Go language, allowing reuse of existing Go libraries and tooling, and supports mixing Go and XGo source files within a single package for gradual adoption of its simplified syntax. The language distinguishes itself through direct foreign function interface capabilities, enabling calls to C/C++ and Python libraries using specialized string literal syntax without man

30 Seconds of Python is a curated collection of short, reusable Python code snippets designed for quick reference and immediate reuse. It provides an interactive browser that lets you explore snippets organized by tags, search across names and descriptions, and copy code to your clipboard with a single click. The collection covers a broad range of common programming tasks, including list and dictionary operations, string formatting and manipulation, date and time calculations, and color format conversion. It also includes utilities for data transformation, such as converting between case styl

100 Go Mistakes is a reference book and code review companion that catalogues frequent Go programming anti-patterns and provides corrected implementations for each one. It covers a wide range of common pitfalls, from range loop variable capture and interface nil handling to error wrapping and map iteration randomization, helping developers recognize and avoid these issues in their own code. The project distinguishes itself by offering a structured, example-driven approach to learning idiomatic Go. It covers core design decisions such as when to use pointer versus value receivers, how to apply

PixiEditor is a multi-functional graphics suite that serves as a pixel art editor, a node-based graphics editor, and a vector graphics tool. It functions as a shader-based painting tool and 2D animation software, providing a comprehensive environment for creating raster images and frame-by-frame motion. The project is distinguished by its use of node-based workflows for building complex image transformations, visual effects, and custom digital brush designs. It utilizes a shader-based brush engine and a node graph to define personalized painting tool behaviors and procedural animations. The

LogicStack-LeetCode is a curated repository of solved algorithm problems and data structure implementations, primarily drawn from the LeetCode platform. Its core identity is a structured collection of solutions designed to support technical interview preparation and competitive programming practice, with each solution accompanied by complexity analyses to help engineers understand performance trade-offs. The repository distinguishes itself through its breadth of coverage across fundamental algorithmic patterns and data structures. It includes implementations for array manipulation, string pro

ArduinoJson is a C++ library for parsing and manipulating JSON data and MessagePack binary streams on microcontrollers with limited memory and processing power. It provides the core primitives necessary for embedded data serialization and parsing, enabling devices to exchange structured data over serial or network interfaces. The library is distinguished by its focus on microcontroller memory management, employing strategies such as pool-based allocation, string deduplication, and non-owning string views to minimize RAM usage. It further optimizes for constrained environments by allowing cons

Rockstar is an esoteric programming language whose syntax is inspired by 1980s hard rock and heavy metal lyrics, making programs read like song lyrics. It uses poetic number literals, where the length of each word in a phrase is parsed as a decimal digit to initialize numeric variables, and pronoun-based variable references, where words like "it" and "they" resolve to the most recently assigned or compared variable at runtime. The language can be compiled to WebAssembly and run inside a web page for in-browser code execution. The language distinguishes itself through a lyric-driven parsing sy

collect.js is a dependency-free JavaScript library that provides a fluent, chainable interface for manipulating arrays and objects. It mirrors the Laravel Collection API, offering a consistent set of methods for data transformation across JavaScript and Laravel backend environments. The library stores collection data as plain arrays internally and supports fluent method chaining, where each method returns a new collection instance. The library distinguishes itself by closely replicating the Laravel Collection API in JavaScript, mapping each PHP method to an equivalent JavaScript implementatio

Materialize is a streaming SQL database that continuously ingests live data from sources such as Kafka, Redpanda, PostgreSQL, and MySQL, and incrementally maintains materialized views. It provides a PostgreSQL-compatible query engine that accepts standard SQL over the PostgreSQL wire protocol, enabling any existing SQL client or BI tool to query real-time data. The system also includes a Model Context Protocol (MCP) server that exposes live materialized view data to AI agents, providing fresh context without polling. Materialize distinguishes itself through its ability to offer configurable c

This is a configuration library for JVM applications that parses HOCON, JSON, and Java properties files into an immutable tree structure. It resolves ${...} placeholders by traversing the configuration tree and falling back to environment variables and system properties, and validates loaded configurations against a reference schema. The library loads configuration from classpath resources, files, URLs, system properties, and environment variables, merging them with priority-based override semantics. It provides typed value access with automatic type coercion, supports dot-path navigation,

This is a Java library for creating and verifying JSON Web Tokens (JWTs), supporting multiple cryptographic signing algorithms including HMAC, RSA, and ECDSA. The library provides a builder pattern for constructing tokens with custom claims and algorithm selection, and offers separate verification methods that check signatures and validate standard claims such as expiration, issuer, and audience. The library abstracts cryptographic algorithms behind a common interface, allowing pluggable signing and verification without coupling token creation to a specific algorithm. Tokens are represented a

Just is a collection of JavaScript utility libraries designed for data manipulation, functional programming, performance optimization, statistical analysis, and string processing. It provides a set of tools for deep cloning, filtering, and transforming complex objects and arrays. The project is structured as a series of zero-dependency modules, allowing utilities to be used independently to minimize bundle size. It implements functional programming patterns including currying, piping, and partial application, and provides execution control through memoization, debouncing, and throttling. The

Apache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in distributed storage such as HDFS and cloud storage services. It provides a familiar SQL interface for batch analytics and reporting, supported by a core set of components including the HiveServer2 Thrift service for remote query execution, the Hive Metastore Service for central metadata management, the Hive ACID Transaction Engine for concurrent read-write operations, and the Hive LLAP Interactive Engine for low-latency analytical processing. The WebHCat REST API offers an HTTP interfac

Dieses Projekt ist ein Lehrplan für Machine Learning und eine Lernplattform, die über interaktive Jupyter Notebooks bereitgestellt wird. Es dient als umfassender Leitfaden zur Beherrschung des Python-Data-Science-Toolkits und bietet strukturierte Tutorials für numerisches Rechnen, Manipulation tabellarischer Daten und statistische Visualisierung. Der Lehrplan enthält spezifische Implementierungsleitfäden für Scikit-Learn und einen praktischen Kurs zu TensorFlow für den Aufbau, das Training und das Deployment neuronaler Netze und Computer-Vision-Modelle. Er deckt den End-to-End-Prozess des Aufbaus prädiktiver Modelle ab, von der anfänglichen Problemformulierung und Aufgabenkategorisierung bis hin zum Deployment der Modelle über interaktive Weboberflächen. Das Projekt deckt ein breites Funktionsspektrum ab, einschließlich numerischem Rechnen mit mehrdimensionalen Arrays, explorativer Datenanalyse und Datenvorverarbeitungsroutinen. Es bietet detaillierte Workflows für überwachtes und unüberwachtes Lernen, automatisierte Machine-Learning-Pipelines, Hyperparameter-Optimierung und Modellbewertung mittels Klassifizierungsmetriken und Kreuzvalidierung. Der Bildungsinhalt ist als eine Reihe von Notebooks strukturiert, die Python-Code mit narrativen Erklärungen verknüpfen, um Data-Science-Workflows zu dokumentieren.

This is a TC39 proposal to add declarative pattern matching syntax to the ECMAScript language. It introduces a match expression that allows developers to inspect and branch on data structures using patterns with destructuring, guards, and logical combinators. The proposal defines a custom matcher protocol via a well-known symbol, enabling objects to implement user-defined matching logic with arbitrary extraction and decomposition. The proposal supports matching against literal primitives using SameValue equality with special handling for signed zero and NaN, as well as relational comparison

Carp is a statically typed Lisp compiler that compiles Lisp-like syntax directly to C source code, enabling seamless integration with existing C libraries and low-level system programming. It manages memory deterministically at compile time using ownership tracking and linear types, eliminating garbage collection pauses and runtime overhead while ensuring type safety through an inferred static type system. The language distinguishes itself through compile-time macro expansion and metaprogramming capabilities, allowing code generation and transformation before final binary output. It enforces

This is an open-source, crowd-sourced wiki textbook that teaches Linux system programming in C. It covers the core operating system concepts of process management through the fork-exec-wait model, dynamic memory allocation using implicit free list heap allocators, inode-based file systems, inter-process communication via pipes and shared memory, POSIX threads with synchronization primitives, signal-based asynchronous notification, virtual memory with page table translation, and runtime diagnostics using Valgrind and GDB. The textbook distinguishes itself by providing practical, implementation

jsonparser is a Go library for parsing, extracting, and modifying JSON data by key path without requiring predefined structs or type schemas. It uses a deterministic state machine to parse JSON directly from byte slices, enabling zero-copy traversal and lazy typed value extraction. The library provides key-path-based navigation to retrieve raw bytes and typed values from nested JSON structures, supporting extraction of strings, integers, floats, and booleans. It also enables in-place value modification and deletion at specified key paths, as well as iteration over arrays and objects using cal