Search Results for "clarity"
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Showing 38 open source projects for "clarity"
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1
30 Seconds of Code
Coding articles to level up your development skills
...It covers a broad range of everyday programming tasks, from array manipulation to DOM handling. Ideal for learners and professionals alike, it promotes clean coding and fast prototyping by focusing on clarity and brevity. -
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Claude Code Slash Commands
A collection of production-ready slash commands for Claude Code
...It provides a standardized way to describe commands, their inputs, and expected outputs, enabling consistent interaction between user instructions and executable operations. The project is designed to work alongside agent frameworks, acting as the execution layer that translates abstract intents into concrete actions. It emphasizes clarity and predictability by enforcing schemas and structured definitions for each command, reducing ambiguity in automated workflows. Developers can define custom commands tailored to their applications, making it adaptable to a wide range of use cases including automation, scripting, and AI-assisted development. It is particularly useful in environments where reliability and reproducibility of actions are critical. -
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Airbnb Swift Style Guide
Airbnb's Swift Style Guide
Airbnb's Swift Style Guide. Note that brevity is not a primary goal. Code should be made more concise only if other good code qualities (such as readability, simplicity, and clarity) remain equal or are improved. This repo includes a Swift Package Manager command plugin that you can use to automatically reformat or lint your package according to the style guide. To use this command plugin with your package, all you need to do is add this repo as a dependency. -
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Pretext
Pure JavaScript/TypeScript library for multiline text measurement
Pretext is an experimental project that explores new ways of structuring and presenting textual or code-based content, with a strong emphasis on clarity, composability, and developer-oriented workflows. It is designed to rethink how text and structured information are authored, processed, and rendered, often focusing on minimal abstractions and highly readable formats. The project reflects a philosophy of reducing unnecessary complexity while still enabling powerful transformations and reuse of content. ... -
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Job Recommend
The basics of building a job recommendation workflow
...It treats job postings and résumés as structured items and applies straightforward matching signals such as keywords, skills overlap, or vectorized features. The repository is educational in spirit, focusing on clarity rather than heavy infrastructure or opaque models. You can study how to transform raw text into features and how to evaluate simple heuristics or baseline models. The code encourages experimentation, inviting you to swap scoring rules, adjust weights, or plug in alternative representations. It serves as a starting point for understanding recommendation pipelines before moving to production-grade systems. -
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How-To-Ask-Questions-The-Smart-Way
Correctly propose technical questions and get the answers you want
The How-To-Ask-Questions-The-Smart-Way project is a widely recognized guide that teaches developers how to communicate effectively when seeking help in technical communities. It focuses on improving the quality of questions by emphasizing clarity, context, and effort before asking for assistance. The document explains common mistakes, such as vague descriptions or lack of research, and provides strategies for formulating precise and useful questions. It also highlights the importance of respecting the time and expertise of others, encouraging a culture of constructive collaboration. ... -
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Python Interview Bible
Curated set of interview notes, Q&A, and code snippets
Python-Interview-Bible is a curated set of interview notes, Q&A, and code snippets aimed at helping candidates prepare efficiently for Python roles. It organizes content by topic—language essentials, data structures, algorithms, concurrency, networking, and databases—so you can target weak areas quickly. The repository emphasizes clear explanations and compact examples that demonstrate correct usage and common pitfalls. Many entries include comparative discussions, such as list vs tuple or... -
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Practical ASP.NET Core
Practical samples of ASP.NET Core 10 RC
practical-aspnetcore is a repository containing hundreds of sample projects, micro-applications, and code snippets across multiple versions of .NET Core (including 2.1, 3.1, 5.0, 6.0, 7.0, 8.0, 9.0, 10 RC) to illustrate real-world patterns, advanced topics, and features in .NET Core development. It is intended as a hands-on learning resource for building web APIs, middleware, authentication, real-time, microservices, etc. -
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Computer Science Flash Cards
Mini website for testing both general CS knowledge and enforce coding
...They are designed for spaced-repetition style study so you can cycle frequently through fundamentals until recall feels automatic. Many cards point at canonical definitions or contrasts (e.g., stack vs. queue, BFS vs. DFS) to strengthen conceptual boundaries. The material favors clarity and breadth over exhaustive proofs, making it ideal for quick refreshers during a study plan. It complements longer resources by giving you a lightweight way to keep key concepts top of mind. -
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10
imgui_club
Nice things to use along dear imgui
...You’ll find examples that show how to structure multi-context rendering, deal with threading concerns, and compose immediate-mode UIs that remain responsive under load. The code emphasizes clarity and portability, so you can lift snippets directly into your own ImGui applications without heavy refactoring. Because the repo lives alongside Dear ImGui, it reflects current best practices and idioms for the framework rather than drifting into unrelated experiments. It also points to a broader ecosystem of community extensions, making it a hub for discovering higher-level widgets and specialized components. -
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Yangshun Lago
Data Structures and Algorithms library in TypeScript and JavaScript
...Instead of aiming to be a production runtime, it serves as a reference you can step through to understand how arrays, stacks, queues, linked lists, trees, heaps, graphs, and sorting/searching routines actually work. The implementations favor clarity over micro-optimizations, making them approachable for learners who are new to algorithmic thinking or coming from non-CS backgrounds. Because the code is idiomatic JavaScript, it also helps front-end engineers strengthen fundamentals without switching languages. The repository’s structure lets you browse topic by topic and compare trade-offs such as time versus space complexity. ... -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is... -
13
Schema.DTS
JSON-LD TypeScript types for Schema vocabulary
The project provides a comprehensive set of TypeScript typings based on the Schema vocabulary, enabling developers to author JSON-LD structured data with strong type safety. It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and knowledge-graph practices. The repository also contains a generator tool that can pull ontology definitions and emit TypeScript definitions in bulk, ensuring the typings stay up to date and maintain consistency. ... -
14
fvcore
Collection of common code shared among different research projects
fvcore is a lightweight utility library that factors out common performance-minded components used across Facebook/Meta computer-vision codebases. It provides numerics and loss layers (e.g., focal loss, smooth-L1, IoU/GIoU) implemented for speed and clarity, along with initialization helpers and normalization layers for building PyTorch models. Its common modules include timers, logging, checkpoints, registry patterns, and configuration helpers that reduce boilerplate in research code. A standout capability is FLOP and activation counting, which analyzes arbitrary PyTorch graphs to report cost by operator and by module for precise profiling. ... -
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Statistical Rethinking 2024
This course teaches data analysis
The 2024 repository is the most recent version of the course, reflecting ongoing refinements in pedagogy, statistical modeling techniques, and coding practices. It provides updated notebooks, R scripts, and model examples, some streamlined and restructured compared to previous years. The 2024 repo also highlights the transition toward more robust Stan models and integration with newer Bayesian workflow practices, continuing to emphasize accessibility for learners while modernizing the tools.... -
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G4P
GUI controls for Processing
This project is about developing a set of 2D GUI controls for the Processing language. V4.2 is compatible with Processing 3 V3.5.4 is the last version compatible with Processing 2. -
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Statistical Rethinking 2023
Statistical Rethinking Course for Jan-Mar 2023
...It continues to provide scripts for lectures and tutorials, while integrating refinements to examples, notation, and computational workflows introduced that year. Compared with 2022, some models are rewritten for clarity, and teaching materials reflect refinements in McElreath’s evolving presentation of Bayesian data analysis. Students following the 2023 lecture videos use this repository as their coding reference. There are 10 weeks of instruction. Links to lecture recordings will appear in this table. Weekly problem sets are assigned on Fridays and due the next Friday, when we discuss the solutions in the weekly online meeting. -
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React Demos
A collection of simple demos of React.js
...Each demo isolates a single idea—such as component composition, state and props, lifecycle hooks, or event handling—so learners can see cause and effect without framework noise. The code favors clarity over abstraction, making it easy to copy, tweak, and compare different approaches to the same problem. Many examples are deliberately minimal, showing just enough HTML, CSS, and JavaScript to highlight the React pattern being taught. The structure encourages hands-on learning: open a demo, modify a prop or state update, and observe how the UI reacts. ... -
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NG Dynamic Forms
Rapid form development library for Angular
...Explore the live sample and the API documentation! NG Dynamic Forms is built to provide solid yet unobtrusive support for a variety of common UI libraries. In order to improve clarity, it's often considered good practice to group forms into several logical fieldset sections. Thus NG Dynamic Forms supports the nesting of form groups out of the box! Sometimes forms need to allow the user to dynamically add multiple items of the same kind to it, e.g. addresses, products, and so on. Particularly, for this reason, Angular provides so-called Form Arrays. -
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JavaScript & Node.js Testing
Comprehensive and exhaustive JavaScript & Node.js testing
This project compiles practical advice for testing JavaScript applications across the stack, emphasizing clarity, speed, and reliability over dogma. It distinguishes between different kinds of tests—unit, integration, end-to-end—and shows when each is appropriate given time and risk constraints. The guide focuses on removing flakiness by isolating side effects, controlling randomness, and stabilizing async code paths. It also demonstrates test design techniques like arranging test data, using expressive assertions, and structuring test suites for readability and discoverability. ... -
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Bourbon
A lightweight sass tool set
Bourbon is a library of Sass mixins and functions that are designed to make you a more efficient style sheet author. It’s not recommended that you modify Bourbon’s files directly as it will make updating to future versions difficult, by overwriting your custom changes or causing merge conflicts. Import Bourbon at the beginning of application.scss. Any project styles that utilize Bourbon’s features must be imported after Bourbon. Bourbon supports Internet Explorer 11+ and the latest versions... -
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Polysemy
Higher-order, no-boilerplate monads
Polysemy is a high-performance, zero-boilerplate effect system for Haskell, designed to simplify the handling of side effects in functional programs. Unlike traditional monad transformer stacks, Polysemy uses a modern approach based on freer monads and interpreters, allowing developers to define, compose, and interpret effects in a more modular and testable way. It aims to offer both flexibility and performance without sacrificing type safety or expressiveness. -
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
...For someone trying to get up to speed with a new ML subfield — say graph neural networks or meta-learning — ml-surveys offers a curated reading list of foundational and recent works, helping map the landscape quickly. It is particularly useful for researchers, data scientists, or engineers who want conceptual clarity about where a field stands, what problems remain, and what techniques are most established. -
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Spatie Data Transfer Object
Data transfer objects with batteries included
...It ensures data consistency by enforcing declared types and immutability. DTOs are commonly used to encapsulate and validate data structures, especially in service layers and APIs, helping improve code clarity and reducing the risk of bugs from unexpected data shapes. -
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CoolplaySpark
Spark Cool Play: Spark source code analysis, Spark class library, etc.
...Through code analysis and commentary, CoolplaySpark helps readers connect theoretical concepts with practical implementation details. By combining book study with this repository, learners can develop both conceptual clarity and hands-on expertise in Spark’s core components.
