https://github.com/liuyubobobo/cool-open-sharings
Sharing open source projects, books, or articles in this repo. All sharings will be firstly released in "isn't it cool" 我的公众号《是不是很酷》中的子栏目《【是不是很酷】开源资源 分享》文章和相关资源链接备份。
https://github.com/liuyubobobo/cool-open-sharings
Last synced: 3 months ago
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Sharing open source projects, books, or articles in this repo. All sharings will be firstly released in "isn't it cool" 我的公众号《是不是很酷》中的子栏目《【是不是很酷】开源资源 分享》文章和相关资源链接备份。
- Host: GitHub
- URL: https://github.com/liuyubobobo/cool-open-sharings
- Owner: liuyubobobo
- Created: 2020-01-03T08:56:53.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-01-29T02:08:18.000Z (almost 5 years ago)
- Last Synced: 2025-06-27T21:37:56.441Z (5 months ago)
- Homepage:
- Size: 47.1 MB
- Stars: 247
- Watchers: 20
- Forks: 24
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
README
## 公众号【是不是很酷】中的【开源资源分享】备份仓库
大家好, 这里是我的公众号【是不是很酷】中的【开源资源分享】备份仓库。每一期【开源资源分享】会包含 5 个内容,包括文章,开源书籍,或者开源项目。现阶段以英文版本为主。
如果对我的公众号文章感兴趣,可以移步我的 github 上的[【是不是很酷】文章备份代码仓](https://github.com/liuyubobobo/my-blog)。
或者直接关注我的公众号:【是不是很酷】。

其他联系方式:
**个人网站**:[liuyubobobo.com](http://liuyubobobo.com) [暂不可访问]
**电子邮件**:[liuyubobobo@gmail.com](mailto:liuyubobobo@gmail.com)
**知乎**: [刘宇波 http://www.zhihu.com/people/liuyubobobo](http://www.zhihu.com/people/liuyubobobo)
**知乎专栏:**[是不是很酷 https://zhuanlan.zhihu.com/liuyubobobo](https://zhuanlan.zhihu.com/liuyubobobo)
## 目录
### 专题内容
| 专题名称 | 文章备份 | 快速链接 |
| :---: | :---: | --- |
| 计算机底层原理 | [想了解计算机的底层原理?这些资源就够了](other/computer-underlying) | [Crash Course (英文原版)](https://www.youtube.com/watch?v=tpIctyqH29Q&list=PL8dPuuaLjXtNlUrzyH5r6jN9ulIgZBpdo)
[Crash Course (中文字幕)](https://crashcourse.club/category/computer_science/)
[code](https://www.amazon.com/s?k=code+hidden+language+of+computer+hardware+and+software&crid=3NZ3MLC2TAPWE&sprefix=code+hidden%2Caps%2C207&ref=nb_sb_ss_i_1_11)
[程序是怎样跑起来的](https://www.douban.com/link2/?url=https%3A%2F%2Fbook.douban.com%2Fsubject%2F26365491%2F&query=%E7%A8%8B%E5%BA%8F%E6%98%AF%E6%80%8E%E6%A0%B7%E8%B7%91%E8%B5%B7%E6%9D%A5%E7%9A%84&cat_id=1001&type=search&pos=1)
[深入理解计算机系统](https://www.amazon.com/Computer-Systems-Programmers-Perspective-3rd/dp/013409266X/ref=sr_1_1?crid=MKGMUUHE6LE2&keywords=computer+systems+a+programmer%27s+perspective&qid=1582846908&sprefix=computer+system%2Caps%2C208&sr=8-1) |
| 编程学习生物信息学 | [算法不好的工程师不是优秀的生物学家](other/rosalind/) | [编程学习生物信息学](http://rosalind.info/) |
| 人工智能学习路径 | [如果真的学习人工智能](https://github.com/liuyubobobo/ai-learning-roadmap) | [见专门代码仓简略版](https://github.com/liuyubobobo/ai-learning-roadmap) |
| 如何从零开始
实现一个小型 OS 内核 | [如何从零开始实现一个小型 OS 内核](other/os/) | [Orange'S:一个操作系统的实现](https://book.douban.com/subject/3735649/)
[30天自制操作系统](https://book.douban.com/subject/11530329/)
[从零实现一个简单的操作系统](https://www.cs.bham.ac.uk/~exr/lectures/opsys/10_11/lectures/os-dev.pdf)
[OS-Tutorial](https://github.com/cfenollosa/os-tutorial)
[斯坦福操作系统课程 CS140](http://web.stanford.edu/~ouster/cgi-bin/cs140-spring20/index.php)
[斯坦福高级操作系统课程 CS240](http://web.stanford.edu/class/cs240/)
[MIT EE&CS 公开课](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/)
[CS140 指定课本](https://www.amazon.com/Operating-Systems-Principles-Thomas-Anderson/dp/0985673524)
[基于树莓派的操作系统](https://github.com/s-matyukevich/raspberry-pi-os)
[Linux 早期版本核心代码](oldlinux.org)
[用 Rust 编写的 OS](https://os.phil-opp.com) |
| 不能赚钱,
搞不好还赔钱的量化交易 | [不能赚钱,搞不好还赔钱的量化交易](other/quant/) | [Quantstart](https://www.quantstart.com/)
[量化交易入门 5 本书](https://www.quantstart.com/articles/Top-5-Essential-Beginner-Books-for-Algorithmic-Trading/)
[成为一名量化交易员的自学计划](https://www.quantstart.com/articles/Self-Study-Plan-for-Becoming-a-Quantitative-Trader-Part-I/)
[量化交易书籍 108 本](https://link.medium.com/nDgfDgd0wcb)
[机器学习在金融领域的应用](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089/) |
| 做一个命令行工具,
是一件挺酷的事儿 | [做一个命令行工具,是一件挺酷的事儿](other/cli/) | [awesome-cli-apps](https://github.com/agarrharr/awesome-cli-apps) |
| 国外公开课都没视频,
怎么办? | [国外公开课都没视频,怎么办?](other/opencourse/) | [普林斯顿 CS521 高级算法设计](https://www.cs.princeton.edu/courses/archive/fall13/cos521/)
[MIT 计算机教育缺失的一课](https://missing-semester-cn.github.io/) |
| | | |
### 每期内容
| 期数 | 文章备份 | 快速链接 |
|:---: | :---: | --- |
| | | |
| 第 16 期 | [第 16 期文章](016/) | [打游戏,学 Vim](https://www.vim.so/)
[剑桥大学 并发与分布式系统](https://www.cl.cam.ac.uk/teaching/2021/ConcDisSys/materials.html)
[扭结理论](https://www.maths.ed.ac.uk/~v1ranick/papers/murasug3.pdf)
[musclewiki](https://musclewiki.com/)
[微博上有什么](https://www.whatsonweibo.com/) |
| 第 15 期 | [说一个感慨,
外国计算机专业都学了啥](015/) | [迷宫生成书籍](https://www.amazon.com/Mazes-Programmers-Twisty-Little-Passages/dp/1680500554/ref=sr_1_3?crid=28VIVWBRUMLBJ&dchild=1)
[Gale-Shapley 算法](https://en.m.wikipedia.org/wiki/Stable_marriage_problem#Solution)
[Matrix67 介绍 Gale-Shapley 算法](http://www.matrix67.com/blog/archives/2976)
[Diffie–Hellman key exchange](https://en.m.wikipedia.org/wiki/Diffie–Hellman_key_exchange)
[比特种子官方工作原理](http://www.bittorrent.org/beps/bep_0003.html)
[比特种子工作原理](https://wiki.theory.org/index.php/BitTorrentSpecification)
[植物中的算法美](http://algorithmicbotany.org/papers/#abop) |
| 第 14 期 | [第 14 期文章](014/) | [位运算技巧](https://graphics.stanford.edu/~seander/bithacks.html)
[零基础学习图形学](https://www.gabrielgambetta.com/computer-graphics-from-scratch/introduction.html)
[No Starch 出版社官网](https://nostarch.com)
[ML News](https://mln.dev/top/1)
[深入字符串算法](https://www.amazon.com/Algorithms-Strings-Trees-Sequences-Computational/dp/0521585198)
[比谷歌翻译还好的翻译网站](https://www.deepl.com/translator) |
| 第 13 期 | [第 13 期文章](013/) | [浏览器的工作原理](https://taligarsiel.com/Projects/howbrowserswork1.htm)
[文本编辑器中的算法和数据结构](http://www.finseth.com/craft/)
[《算法导论》笔记](https://catonmat.net/summary-of-mit-introduction-to-algorithms)
[互联网前端资源汇总](https://github.com/developer-resources/frontend-development)
[安全相关开源项目汇总](https://github.com/Penetrum-Security/Security-List) |
| 第 12 期 | [第 12 期文章](012/) | [吃豆人地图生成算法](https://shaunlebron.github.io/pacman-mazegen/)
[学习安全工程](https://github.com/veeral-patel/how-to-secure-anything)
[P vs NP](https://www.win.tue.nl/~gwoegi/P-versus-NP.htm)
[来自 DeepMind 的资源列表](https://storage.googleapis.com/deepmind-media/research/New_AtHomeWithAI%20resources.pdf)
[无版权 UI 设计图标](https://systemuicons.com) |
| 第 11 期 | [第 11 期文章](011/) | [CRUD 进阶必读](https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321/ref=sr_1_1?dchild=1&keywords=Designing+Data-Intensive+Applications&qid=1592872176&sr=8-1)
[深入 Javascript](https://exploringjs.com/deep-js/index.html)
[JavaScript for Impatient Programmers](https://exploringjs.com/impatient-js/index.html)
[学习 Shader](https://thebookofshaders.com/)
[斯坦福多任务学习和元学习](https://cs330.stanford.edu)
[开源有声书库](https://librivox.org/) |
| 第 10 期 | [第 10 期文章](010/) | [Papers with Code](https://paperswithcode.com/)
[Linux 内核源码地图](https://makelinux.github.io/kernel/map/)
[创建一个 DNS 服务器](https://github.com/EmilHernvall/dnsguide)
[开发者别做设计](nodesign.dev)
[泰伯利亚之日&红警 开源](https://github.com/electronicarts/CnC_Remastered_Collection/) |
| 第 9 期 | [第 9 期文章](009/) | [Springer 出版社免费正版图书下载](https://link.springer.com/search/page/1?facet-language=%22En%22&facet-content-type=%22Book%22&showAll=false)
[图形学入门教材推荐](https://www.amazon.com/Fundamentals-Computer-Graphics-Steve-Marschner/dp/1482229390/ref=sr_1_2?dchild=1&keywords=Fundamentals+ot+Computer+Graphics&qid=1590568390&sr=8-2)
[OpenGL 入门推荐](https://www.amazon.com/Foundations-Computer-Graphics-MIT-Press/dp/0262017350/ref=sr_1_1?dchild=1&keywords=Foundations+of+3D+Computer+Graphics&qid=1590568436&sr=8-1)
[离散数学基础](http://discrete.openmathbooks.org/dmoi3.html)
[100 年前的微积分课本](http://www.gutenberg.org/files/33283/33283-pdf.pdf)
[Learn.Genetics](https://learn.genetics.utah.edu/) |
| 第 8 期 | [第 8 期文章](008/) | [MIT EE 和 CS 公开课](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/)
[如何制作解析器](http://craftinginterpreters.com/index.html)
[深入理解贝叶斯分析](https://users.aalto.fi/~ave/BDA3.pdf)
[来自 1991 年的 TCP/IP 教程](https://tools.ietf.org/html/rfc1180)
[如何说“不”](https://www.starterstory.com/how-to-say-no) |
| 第 7 期 | [第 7 期文章](007/) | [基于 Lisp 的算法教程](https://leanpub.com/progalgs/read#leanpub-auto-introduction)
[Google SRE](https://landing.google.com/sre/#sre)
[斯坦福 CS520:知识图谱](https://web.stanford.edu/class/cs520/)
[亚马逊 Future Engineer](https://www.amazonfutureengineer.com/free-courses)
[办公室噪音模拟器](https://imisstheoffice.eu/) |
| 第 6 期 | [第 6 期文章](006/) | [使用 C 语言做一个文字冒险游戏](http://home.hccnet.nl/r.helderman/adventures/htpataic01.html)
[可解释性机器学习](https://christophm.github.io/interpretable-ml-book/)
[MIT 高级数据结构](https://courses.csail.mit.edu/6.851/fall17/)
[160 个数据科学面试题](https://hackernoon.com/160-data-science-interview-questions-415s3y2a)
[在线听英文绘本故事](https://www.storylineonline.net/) |
| 第 5 期 | [第 5 期文章](005/) | [不到 1000 行的 2D 游戏引擎](https://github.com/ryanpcmcquen/basque)
[表格识别技术综述](https://nanonets.com/blog/table-extraction-deep-learning/)
[汇率转换就能创业](https://currencyscoop.com/)
[机器学习实践经验](http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf)
[计算机专业的“透明性”](https://www.cs.auckland.ac.nz/research/groups/ssg/homepages/yu-cheng/ytu001_PhDThesis.pdf) |
| 第 4 期 | [第 4 期文章](004/) | [VVVVVV 游戏开源](https://github.com/TerryCavanagh/vvvvvv)
[学术种子站](http://academictorrents.com)
[应用密码学进阶教材](https://toc.cryptobook.us/)
[如何高效阅读论文](https://blizzard.cs.uwaterloo.ca/keshav/home/Papers/data/07/paper-reading.pdf)
[卡耐基梅隆大学的计算机体系结构课程](http://course.ece.cmu.edu/~ece447/s14/doku.php?id=start) |
| 第 3 期 | [第 3 期文章](003/) | [用 Python 让繁琐工作自动化](https://automatetheboringstuff.com/2e/)
[自底向上的计算机科学](https://www.bottomupcs.com/index.xhtml)
[随机过程基础](https://web.ma.utexas.edu/users/gordanz/notes/introduction_to_stochastic_processes.pdf)
[斯坦福大学 CS 144](https://cs144.github.io/)
[Layout 101](https://docs.google.com/file/d/0B0gPtgNVonXPT1NsWGpKZWZKV1U/edit) |
| 第 2 期 | [第 2 期文章](002/) | [斯坦福大学 CS 007](https://cs007.blog)
[理论计算机科学](https://introtcs.org/public/index.html)
[计算机科学哲学](https://cse.buffalo.edu/~rapaport/Papers/phics.pdf)
[Google 搜索引擎的原理](https://www.google.com/search/howsearchworks/?fg=1)
[BERT 到底有什么威力?](https://www.blog.google/products/search/search-language-understanding-bert/)|
| 第 1 期 | [第 1 期文章](001/) | [贝塞尔曲线详解](https://pomax.github.io/bezierinfo/)
[Diablo 1 的随机迷宫生成机制](https://www.boristhebrave.com/2019/07/14/dungeon-generation-in-diablo-1/)
[超级马里奥的优化](https://www.freecodecamp.org/news/where-do-all-the-bytes-come-from-f51586690fd0/#.fxlrfohvy)
[机器学习在金融领域应用](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089/)
[逆向工程权威指南](https://beginners.re) |