18 Repos
Higher-order functions that map elements of a collection to new values while preserving immutability.
Distinct from Asynchronous Element Transformations: Existing candidates focus on visual transforms or HTML nodes, not general functional data transformation.
Explore 18 awesome GitHub repositories matching data & databases · Collection Element Transformations. Refine with filters or upvote what's useful.
This project is a vanilla JavaScript reference guide and implementation collection designed to replace legacy libraries with native browser patterns. It provides a set of native JavaScript patterns for selecting, modifying, and navigating HTML elements, alongside a web API implementation guide for handling events and styles. The project serves as a reference for implementing asynchronous JavaScript patterns using native promises and fetch for remote data and background tasks. It also includes a client-side utility collection for performing data transformations, type validation, and element me
Includes functional utilities to filter, map, and merge arrays for data transformation.
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
Returns the position of the largest value in a list by combining max() with the list's index lookup.
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
Explains how to correctly mutate slice elements inside Go range loops.
class-transformer is a TypeScript library that converts plain JavaScript objects into typed class instances and back, using decorators to define transformation rules. It serves as a decorator-based object transformer, JSON deserialization library, and property transformation framework, enabling type-safe serialization and deserialization of class instances. The library distinguishes itself through comprehensive property filtering and mapping capabilities. It supports excluding properties by default, by prefix, by operation (serialization or deserialization), or by explicit marking, as well as
Converts elements inside arrays, Sets, and Maps into specified class types during transformation.
language-ext is a functional programming framework for C# that provides a suite of immutable data structures and monadic types. It enables the implementation of pure functional programming patterns, utilizing containers to manage side effects, optional values, and error handling. The library is distinguished by its advanced concurrency and state management tools, including a software transactional memory system and lock-free atomic references. It also provides specialized utilities for distributed systems, such as vector clocks for causality tracking and deterministic data conflict resolution
Applies transformation functions to each element in a list to produce a new list of values.
The Rust RFCs repository is the formal home for the Rust language evolution process, housing the structured design documents and community review mechanisms that govern changes to the Rust programming language, its compiler, and its standard library. It defines the complete lifecycle for proposing, discussing, and implementing substantial changes through RFC documents, from initial submission and community feedback through final comment periods and sub-team sign-offs. The repository codifies the governance and collaboration processes that shape Rust's development, including mechanisms for com
Documents the API for mutable slice views on collections in the standard library.
Swift Algorithms is a library of sequence and collection algorithms for Swift, providing operations for splitting, cycling, combining, and sampling collections with lazy evaluation. It extends Swift's standard library with algorithms that work across all types conforming to Sequence and Collection protocols, enabling efficient data processing without intermediate storage. The library specializes in combinatorial enumeration, generating all possible permutations, combinations, and product sequences from collections for testing and exploration. It also includes utilities for splitting collectio
Ships algorithms for chunking collections by predicate conditions into consecutive groups.
Doctrine Collections is a PHP library that provides object-oriented abstractions for managing and manipulating groups of objects with array-like functionality. It wraps native PHP arrays in an object-oriented interface, enabling cleaner data manipulation through methods for filtering, mapping, and iteration. The library supports callback-driven transformation, applying a callback to every element and returning a new collection with the transformed values. It also enables criteria expression querying, allowing selection of matching elements by applying a criteria object with comparison express
Transforms every element in a collection by applying a callback and returns the new values.
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
Provides a function to transform an element at a given index in a list.
Reactor Core ist ein Toolkit für reaktive Programmierung und eine nicht-blockierende Grundlage für die Komposition asynchroner Datenpipelines auf der JVM. Es dient als Framework für asynchrone Stream-Verarbeitung und als Backpressure-Managementsystem, das es Entwicklern ermöglicht, Ereignissequenzen zu transformieren, zu filtern und zu kombinieren, während der Datenfluss zwischen Produzenten und Konsumenten reguliert wird, um Ressourcenerschöpfung zu vermeiden. Die Bibliothek differenziert sich durch ein ausgeklügeltes Concurrency-Scheduling-System und nachfragebasierte Flusskontrolle. Sie entkoppelt die Signalverarbeitung von spezifischen Threads unter Verwendung einer Scheduler-Registry und bietet Mechanismen für die kontextbewusste Propagierung unveränderlicher Metadaten über asynchrone Grenzen hinweg. Sie enthält zudem spezialisierte Tools für die Trace-Erfassung zur Assembly-Zeit und Virtual-Time-Scheduling, um das Testen zeitbasierter Operatoren zu erleichtern. Das Projekt deckt ein breites Spektrum an Funktionen ab, einschließlich funktionaler Datenverarbeitung für Sequenzaggregation und Windowing, einer Vielzahl von Fehlerbehebungsstrategien wie exponentiellem Backoff-Retry sowie Dienstprogrammen zur Überbrückung von Legacy-Callback- oder synchronen APIs in reaktive Streams. Zudem bietet es Instrumentierung für Pipeline-Monitoring und eine Suite von Test-Tools zur Verifizierung von Signalsequenzen.
Provides functional operators to transform elements, filter them based on predicates, or signal errors.
Streem ist eine streambasierte Programmiersprache und ein Daten-Pipeline-Orchestrator. Sie bietet eine domänenspezifische Sprache zur Definition paralleler Datenflüsse, die es Benutzern ermöglicht, Datenquellen über eine Sequenz von Operationen, die einzelne Streamelemente transformieren und filtern, mit Zielen zu verknüpfen. Das System verwendet eine benutzerdefinierte Skriptsyntax zur Definition von Datenflussverbindungen und Pipeline-Definitionen. Dies ermöglicht die Orchestrierung paralleler Datenverarbeitung, bei der mehrere Pipeline-Stufen gleichzeitig ausgeführt werden, um Datenelemente durch das System zu bewegen. Die Plattform deckt funktionale Datentransformation und stufenbasierte Komposition ab, wobei spezifische Funktionen angewendet werden, um Elemente zu modifizieren oder zu filtern, während sie eine sequenzielle Kette verknüpfter Operationen durchlaufen.
Applies a function to each element in a pipeline to modify or filter data before passing it to the next stage.
ZIO is a functional effect system for the JVM that models asynchronous and concurrent programs as pure, composable values with typed error handling and dependency injection. Its core identity is built on fiber-based concurrency, where lightweight, non-blocking fibers execute millions of concurrent tasks with structured lifecycle management, and a dual-channel error model that separates expected business failures from unexpected system defects at compile time. The system provides effect-typed dependency injection through a layer-based dependency graph, pull-based reactive stream processing with
Provides collection element transformations that filter and map elements in a single step.
Dollar is a functional programming library for Swift that provides a comprehensive toolkit for collection manipulation, string processing, mathematical calculations, and date and time management. It serves as a utility suite for filtering, aggregating, and restructuring arrays and dictionaries. The project implements functional programming patterns such as currying, memoization, and function composition. It also features a chainable wrapper interface that allows multiple data transformations to be applied sequentially before extracting a final result. The library covers a wide range of capab
Maps, flattens, or chunks elements into new formats and structures using callback functions.
This PHP data collection library is a functional data wrapper and array manipulation framework. It converts arrays, JSON strings, and iterables into chainable collection objects designed for advanced filtering, sorting, and transformation. The library is distinguished by its ability to dynamically extend functionality through the registration of custom methods via closures. It also provides specialized capabilities for hierarchical data modeling, allowing flat datasets with parent-child identifiers to be reconstructed into nested tree structures. The toolkit covers a broad surface of data ma
Applies callbacks to map, reduce, flatten, group, or restructure collections into new forms.
more-itertools ist eine Erweiterungsbibliothek für das Python-Modul itertools. Sie dient als Toolkit zur Manipulation von Iterables und bietet eine breite Palette an Routinen für Datentransformation, kombinatorische Generierung und Iterator-Zustandsverwaltung. Die Bibliothek zeichnet sich durch fortgeschrittene Zustandsverwaltung und komplexe Sequenzgenerierung aus. Sie bietet Funktionen zum Einsehen zukünftiger Elemente, zum Suchen innerhalb von Sequenzen und zum Erzeugen einzigartiger Permutationen, Kombinationen und Mengenpartitionen aus Sammlungen, die doppelte Elemente enthalten können. Der Funktionsumfang deckt Datenverarbeitungsaufgaben wie rekursives Flattening, Gruppierung, Padding und Umformung von Datenströmen ab. Sie enthält zudem Dienstprogramme für Stream-Merging, Windowing für lokale Nachbarschaftsanalysen und thread-sichere Iterationssynchronisation. Das Projekt bietet zudem spezialisierte Routinen für die Verarbeitung numerischer Sequenzen, einschließlich Matrixmultiplikation, diskreter linearer Faltung und Fourier-Transformationen.
Implements higher-order functions for mapping, filtering, and reducing iterable elements.
SwiftTips is a curated collection of guides, libraries, and design patterns focused on Swift language mastery, application architecture, and API design. It provides a technical resource for implementing advanced coding techniques and architectural best practices. The project emphasizes creating type-safe and conversational interfaces through strategic protocol composition and generics. It offers specialized patterns for building modular UI systems and managing complex view hierarchies, alongside comprehensive strategies for unit testing and dependency injection. The resource covers a broad s
Provides higher-order functions to transform collection elements while automatically skipping null values.
This project is a library of algorithms for transforming, filtering, and combining asynchronous data streams in Swift. It provides a toolkit for managing asynchronous sequences, offering a concurrent sequence processor to merge, zip, and concatenate multiple streams into single outputs. The library distinguishes itself through specialized timing and flow control mechanisms. It implements asynchronous back-pressure to synchronize producer and consumer speeds and provides a toolkit for event timing, including debouncing, throttling, and the generation of periodic timers. The capability surface
Aggregates consecutive elements into collections based on custom comparison closures or projected values.
This is a comprehensive Python programming course and technical curriculum designed to take users from foundational syntax to advanced development patterns. It serves as a multi-disciplinary educational suite covering programming fundamentals, object-oriented design, and data analysis. The project provides specialized guides on professional development techniques, including the use of decorators, generators for memory management, and dunder-method operator overloading. It also includes instructional material on executing parallel tasks through concurrency and multiprocessing to reduce executi
Teaches how to map elements of a collection to new values using transformation functions.