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收录业界整理出的一些优秀的前端学习资源，供大家参考。
一些三方整理出的针对某个技术点的汇总学习资料。
- 前端技能汇总 Frontend Knowledge Structure
- Awesome WPO
- You Don't Know JS (book series)
- All about this
- MaterialDesignCenter
- Essential Math for Games Programmers
- Google - Guide for Technical Development
- JavaScript Weekly
- HTML5 Weekly
- OSChina 技术周刊
- 码农周刊
- 码农周刊汇总版
- Docker 周报
- Android开发技术前线
- 贴吧Arch Weekly Book
- 推酷-编程狂人
Google - Guide for Technical Development
https://www.google.com/about/careers/students/guide-to-technical-development.html
Having a solid foundation in Computer Science is important to become a successful Software Engineer. This guide is a suggested path for university students to develop their technical skills academically and non-academically through self paced hands-on learning.
程序员必读书单
http://lucida.me/blog/developer-reading-list/
本文把程序员所需掌握的关键知识总结为三大类19个关键概念，然后给出了掌握每个关键概念所需的入门书籍，必读书籍，以及延伸阅读。旨在成为最好最全面的程序员必读书单。
Open Data Structures
http://opendatastructures.org/
Open Data Structures covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs. Data structures presented in the book include stacks, queues, deques, and lists implemented as arrays and linked-lists; space-efficient implementations of lists; skip lists; hash tables and hash codes; binary search trees including treaps, scapegoat trees, and red-black trees; integer searching structures including binary tries, x-fast tries, and y-fast tries; heaps, including implicit binary heaps and randomized meldable heaps; graphs, including adjacency matrix and ajacency list representations; and B-trees. The data structures in this book are all fast, practical, and have provably good running times.
Awesome - Resources
https://github.com/sindresorhus/awesome
A curated list of awesome lists.
Awesome Courses
https://github.com/prakhar1989/awesome-courses/
List of awesome Computer Science courses scoured from university pages across the web. Table of Contents
Systems
Programming Languages / Compilers
Algorithms
CS Theory
Introduction to CS
Misc
Contributing