Backbone.js入门教程第二版
Las características principales de the5fire/backbonejs-learning-note son: Programming Language Guides.
Las alternativas de código abierto para the5fire/backbonejs-learning-note incluyen: unknwon/the-way-to-go_zh_cn — This project is a comprehensive introductory guide to the Go programming language, translated into Chinese. It serves… 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… bbatsov/clojure-style-guide — This project provides a set of software architecture guidelines, Lisp coding standards, and functional programming… alexandru/scala-best-practices — This project is a collection of curated guidelines and manuals for writing clean, idiomatic, and maintainable code in…
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.
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 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