Best-practices and coding conventions for the CoffeeScript programming language
polarmobile/coffeescript-style-guide 的主要功能包括：Platform and API Guidelines, Programming Language Guides。
polarmobile/coffeescript-style-guide 的开源替代品包括： unknwon/the-way-to-go_zh_cn — This project is a comprehensive introductory guide to the Go programming language, translated into Chinese. It serves… alexandru/scala-best-practices — This project is a collection of curated guidelines and manuals for writing clean, idiomatic, and maintainable code in… allendowney/thinkdsp — ThinkDSP is a Python-based audio signal processing framework and educational resource designed for studying the… allendowney/thinkpython — ThinkPython. astaxie/build-web-application-with-golang — This project is an open-source software engineering handbook and technical learning resource focused on backend web… airbnb/ruby — This project provides a collection of coding standard specifications, style guides, and configuration assets used to…
This project is a comprehensive introductory guide to the Go programming language, translated into Chinese. It serves as a professional software engineering manual designed to help Chinese-speaking developers and students learn Go syntax and core concepts. The content is authored as markdown-based technical documentation. It utilizes a translation-layer mapping to align original English source material with the Chinese text to maintain conceptual accuracy. The repository employs a static site generation workflow and uses Git-based version control to manage the translated technical content.
This project is a collection of curated guidelines and manuals for writing clean, idiomatic, and maintainable code in Scala. It serves as a comprehensive guide for Scala coding standards, functional programming design, and enterprise software architecture. The repository provides specific strategies for concurrency management, including patterns for actors, futures, and thread pools to ensure thread safety. It also contains a performance optimization manual focused on reducing memory allocations and managing garbage collection pressure to improve runtime efficiency. The guides cover a broad
ThinkDSP is a Python-based audio signal processing framework and educational resource designed for studying the mathematical properties of digital audio and waveforms. It functions as a digital signal processing library that provides tools for performing frequency analysis and harmonic decomposition of sound waves. The project covers the fundamentals of audio frequency analysis and sound synthesis, enabling the decomposition of sound into harmonics to analyze or modify spectral content. It facilitates Python audio programming by providing the means to manipulate audio files and generate synth
This project provides a collection of coding standard specifications, style guides, and configuration assets used to define automated rules for static code analysis in Ruby. It serves as a centralized set of RuboCop configurations and static analysis rules to ensure consistent syntax and idiomatic usage across a codebase. The project establishes a comprehensive Ruby style guide that defines naming conventions, indentation, and structural requirements. It utilizes a pluggable linting engine to enforce these standards through a defined set of patterns and constraints. The capability surface co