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README-cn.md
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- [Unicode](#unicode)
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- [Unicode](#unicode)
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- [Endianness](#endianness)
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- [Endianness](#endianness)
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- [Emacs and vi(m)](#emacs-and-vim)
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- [Emacs and vi(m)](#emacs-and-vim)
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- [Unix command line tools](#unix-command-line-tools)
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- [Unix 命令行工具](#unix-命令行工具)
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- [Information theory](#information-theory)
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- [信息资源 (视频)](#信息资源-视频)
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- [Parity & Hamming Code](#parity--hamming-code)
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- [奇偶校验位 & 汉明码 (视频)](#奇偶校验位--汉明码-视频)
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- [Entropy](#entropy)
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- [系统熵值（系统复杂度）](#系统熵值系统复杂度)
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- [Cryptography](#cryptography)
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- [密码学](#密码学)
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- [Compression](#compression)
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- [压缩](#压缩)
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- [Networking](#networking)
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- [网络 (视频)](#网络-视频)
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- [Computer Security](#computer-security)
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- [计算机安全](#计算机安全)
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- [Garbage collection](#garbage-collection)
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- [释放缓存](#释放缓存)
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- [Parallel Programming](#parallel-programming)
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- [平行化(多线程)编程](#平行化多线程编程)
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- [Design patterns](#design-patterns)
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- [设计模式](#设计模式)
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- [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems)
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- [信息传输, 序列化, 和队列化的系统](#信息传输-序列化和队列化的系统)
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- [Fast Fourier Transform](#fast-fourier-transform)
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- [快速傅里叶变换](#快速傅里叶变换)
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- [Bloom Filter](#bloom-filter)
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- [布隆过滤器](#布隆过滤器)
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- [van Emde Boas Trees](#van-emde-boas-trees)
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- [van Emde Boas 树](#van-emde-boas-树)
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- [Augmented Data Structures](#augmented-data-structures)
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- [更深入的数据结构](#更深入的数据结构)
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- [Skip lists](#skip-lists)
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- [跳表](#跳表)
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- [Network Flows](#network-flows)
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- [网络流](#网络流)
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- [Disjoint Sets & Union Find](#disjoint-sets--union-find)
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- [不相交集 & 联合查找](#不相交集--联合查找)
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- [Math for Fast Processing](#math-for-fast-processing)
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- [Math for Fast Processing](#math-for-fast-processing)
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- [Treap](#treap)
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- [Treap](#treap)
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- [Linear Programming](#linear-programming)
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- [Linear Programming](#linear-programming)
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@ -1315,8 +1315,8 @@
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- [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs)
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- [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs)
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- [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk)
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- [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk)
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- ### Unix command line tools
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- ### Unix 命令行工具
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- suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools.
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- 下列内容中的优秀工具由的 Yegge 推荐，Yegge 目前致力于 Amazon 人事招聘处。
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- [ ] bash
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- [ ] bash
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- [ ] cat
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- [ ] cat
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- [ ] grep
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- [ ] grep
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- [ ] [strace](https://en.wikipedia.org/wiki/Strace)
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- [ ] [strace](https://en.wikipedia.org/wiki/Strace)
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- [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/)
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- [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/)
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- ### Information theory (videos)
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- ### 信息资源 (视频)
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- [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory)
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- [ ] [Khan Academy 可汗学院](https://www.khanacademy.org/computing/computer-science/informationtheory)
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- [ ] more about Markov processes:
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- [ ] 更多有关马尔可夫的内容:
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- [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation)
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- [ ] [Core Markov Text Generation马尔可夫内容生成](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation)
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- [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation)
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- [ ] [Core Implementing Markov Text Generation马尔可夫内容生成补充](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation)
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- [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through)
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- [ ] [Project = Markov Text Generation Walk Through一个马尔可夫内容生成器的项目](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through)
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- See more in MIT 6.050J Information and Entropy series below.
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- 关于更多信息，请参照下方 MIT 6.050J 信息和系统复杂度的内容.
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- ### Parity & Hamming Code (videos)
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- ### 奇偶校验位 & 汉明码 (视频)
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- [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE)
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- [ ] [入门](https://www.youtube.com/watch?v=q-3BctoUpHE)
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- [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M)
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- [ ] [奇偶校验位](https://www.youtube.com/watch?v=DdMcAUlxh1M)
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- [ ] Hamming Code:
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- [ ] 汉明码(Hamming Code):
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- [Error detection](https://www.youtube.com/watch?v=1A_NcXxdoCc)
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- [发现错误](https://www.youtube.com/watch?v=1A_NcXxdoCc)
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- [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o)
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- [修正错误](https://www.youtube.com/watch?v=JAMLuxdHH8o)
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- [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk)
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- [ ] [检查错误](https://www.youtube.com/watch?v=wbH2VxzmoZk)
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- ### Entropy
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- ### 系统熵值（系统复杂度）
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- also see videos below
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- 请参考下方视频
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- make sure to watch information theory videos first
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- 观看之前，请先确定观看了信息论的视频
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- [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176)
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- [ ] [信息理论, 克劳德·香农, 熵值, 系统冗余, 数据比特压缩 (视频)](https://youtu.be/JnJq3Py0dyM?t=176)
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- ### Cryptography
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- ### 密码学
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- also see videos below
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- 请参考下方视频
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- make sure to watch information theory videos first
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- 观看之前，请先确定观看了信息论的视频
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- [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography)
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- [ ] [可汗学院](https://www.khanacademy.org/computing/computer-science/密码学)
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- [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30)
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- [ ] [密码学: 哈希函数](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30)
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- [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
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- [ ] [密码学: 加密](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
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- ### Compression
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- ### 压缩
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- make sure to watch information theory videos first
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- 观看之前，请先确定观看了信息论的视频
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- [ ] Computerphile (videos):
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- [ ] 压缩 (视频):
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- [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w)
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- [ ] [压缩](https://www.youtube.com/watch?v=Lto-ajuqW3w)
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- [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko)
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- [ ] [压缩熵值](https://www.youtube.com/watch?v=M5c_RFKVkko)
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- [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI)
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- [ ] [由上而下的树 (霍夫曼编码树)](https://www.youtube.com/watch?v=umTbivyJoiI)
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- [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g)
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- [ ] [额外比特 - 霍夫曼编码树](https://www.youtube.com/watch?v=DV8efuB3h2g)
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- [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA)
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- [ ] [优雅的压缩数据 (无损数据压缩方法)](https://www.youtube.com/watch?v=goOa3DGezUA)
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- [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU)
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- [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU)
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- [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H)
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- [ ] [数据压缩的艺术](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H)
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- [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s)
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- [ ] [(可选) 谷歌开发者: GZIP 还差远了呢!](https://www.youtube.com/watch?v=whGwm0Lky2s)
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- ### Networking (videos)
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- ### 网络 (视频)
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- [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro)
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- [ ] [可汗学院](https://www.khanacademy.org/computing/computer-science/internet-intro)
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- [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8)
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- [ ] [网络传输协议中的数据压缩](https://www.youtube.com/watch?v=Vdc8TCESIg8)
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- [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0)
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- [ ] [TCP/IP 和 OSI 模型解析!](https://www.youtube.com/watch?v=e5DEVa9eSN0)
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- [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM)
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- [ ] [TCP/IP 教程：传输数据包.](https://www.youtube.com/watch?v=nomyRJehhnM)
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- [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As)
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- [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As)
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- [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0)
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- [ ] [SSL 和 HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0)
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- [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM)
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- [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM)
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- [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8)
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- [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8)
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- [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j)
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- [ ] [视频](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j)
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- [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4)
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- [ ] [子网络解密 - 第五部分 经典内部域名指向 CIDR 标记](https://www.youtube.com/watch?v=t5xYI0jzOf4)
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- ### Computer Security
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- ### 计算机安全
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- [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [MIT](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [威胁模型：入门](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2)
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- [ ] [控制攻击](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2)
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- [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3)
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- [ ] [缓冲数据注入和防御](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3)
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- [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [优先权区分](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [能力](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6)
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- [ ] [在沙盒中运行原生代码](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6)
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- [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [网络安全模型](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [网络安全应用](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [标志化执行](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [网络安全](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [网络协议](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- [ ] [旁路攻击](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh)
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- ### Garbage collection
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- ### 释放缓存
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- [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25)
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- [ ] [Java 释放缓存; 片段化数据 (视频)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25)
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- [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff)
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- [ ] [编译器 (视频)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff)
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- [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI)
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- [ ] [Python 释放缓存 (视频)](https://www.youtube.com/watch?v=iHVs_HkjdmI)
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- [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits)
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- [ ] [深度解析：论释放缓存在 JAVA 中的重要性](https://www.infoq.com/presentations/garbage-collection-benefits)
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- [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3)
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- [ ] [深度解析：论释放缓存在 Python 中的重要性(视频)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3)
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- ### Parallel Programming
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- ### 平行化(多线程)编程
|
||||||
- [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1)
|
- [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1)
|
||||||
- [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk)
|
- [ ] [论平行化编程如何提高 Python 执行效率 (视频)](https://www.youtube.com/watch?v=uY85GkaYzBk)
|
||||||
|
|
||||||
- ### Design patterns
|
- ### 设计模式
|
||||||
- [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3)
|
- [ ] [UML统一建模语言概览 (视频)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3)
|
||||||
- [ ] Learn these patterns:
|
- [ ] 主要有如下的设计模式:
|
||||||
- [ ] strategy
|
- [ ] s(strategy)
|
||||||
- [ ] singleton
|
- [ ] singleton
|
||||||
- [ ] adapter
|
- [ ] adapter
|
||||||
- [ ] prototype
|
- [ ] prototype
|
||||||
@ -1427,76 +1427,76 @@
|
|||||||
- [ ] iterator
|
- [ ] iterator
|
||||||
- [ ] composite
|
- [ ] composite
|
||||||
- [ ] flyweight
|
- [ ] flyweight
|
||||||
- [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344)
|
- [ ] [第六章 (第 1 部分 ) - 设计模式 (视频)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344)
|
||||||
- [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
|
- [ ] [第六章 (第 2 部分 ) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (视频)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
|
||||||
- [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
|
- [ ] [第六章 (第 3 部分 ) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
|
||||||
- [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07)
|
- [ ] [视频](https://www.youtube.com/playlist?list=PLF206E906175C7E07)
|
||||||
- [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124)
|
- [ ] [Head Fisrt 设计模型](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124)
|
||||||
- I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO.
|
- 尽管这本书叫做设计模式：重复使用模块，但是我还是认为Head First是对于新手来说很不错的书。
|
||||||
- [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips)
|
- [ ] [基于实际操作对于入门开发者的建议](https://sourcemaking.com/design-patterns-and-tips)
|
||||||
|
|
||||||
- ### Messaging, Serialization, and Queueing Systems
|
- ### 信息传输, 序列化,和队列化的系统
|
||||||
- [ ] [Thrift](https://thrift.apache.org/)
|
- [ ] [Thrift](https://thrift.apache.org/)
|
||||||
- [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html)
|
- [教程](http://thrift-tutorial.readthedocs.io/en/latest/intro.html)
|
||||||
- [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/)
|
- [ ] [协议缓冲](https://developers.google.com/protocol-buffers/)
|
||||||
- [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials)
|
- [教程](https://developers.google.com/protocol-buffers/docs/tutorials)
|
||||||
- [ ] [gRPC](http://www.grpc.io/)
|
- [ ] [gRPC](http://www.grpc.io/)
|
||||||
- [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1)
|
- [gRPC 对于JAVA开发者的入门教程（视频）](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1)
|
||||||
- [ ] [Redis](http://redis.io/)
|
- [ ] [Redis](http://redis.io/)
|
||||||
- [Tutorial](http://try.redis.io/)
|
- [教程](http://try.redis.io/)
|
||||||
- [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/)
|
- [ ] [Amazon的 SQS 系统 (队列)](https://aws.amazon.com/sqs/)
|
||||||
- [ ] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/)
|
- [ ] [Amazon的 SNS 系统 (pub-sub)](https://aws.amazon.com/sns/)
|
||||||
- [ ] [RabbitMQ](https://www.rabbitmq.com/)
|
- [ ] [RabbitMQ](https://www.rabbitmq.com/)
|
||||||
- [Get Startet](https://www.rabbitmq.com/getstarted.html)
|
- [入门教程](https://www.rabbitmq.com/getstarted.html)
|
||||||
- [ ] [Celery](http://www.celeryproject.org/)
|
- [ ] [Celery](http://www.celeryproject.org/)
|
||||||
- [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html)
|
- [Celery入门](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html)
|
||||||
- [ ] [ZeroMQ](http://zeromq.org/)
|
- [ ] [ZeroMQ](http://zeromq.org/)
|
||||||
- [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual)
|
- [入门教程](http://zeromq.org/intro:read-the-manual)
|
||||||
- [ ] [ActiveMQ](http://activemq.apache.org/)
|
- [ ] [ActiveMQ](http://activemq.apache.org/)
|
||||||
- [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction)
|
- [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction)
|
||||||
- [ ] [MessagePack](http://msgpack.org/index.html)
|
- [ ] [MessagePack](http://msgpack.org/index.html)
|
||||||
- [ ] [Avro](https://avro.apache.org/)
|
- [ ] [Avro](https://avro.apache.org/)
|
||||||
|
|
||||||
- ### Fast Fourier Transform
|
- ### 快速傅里叶变换
|
||||||
- [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/)
|
- [ ] [什么是傅立叶变换？论傅立叶变换的用途](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/)
|
||||||
- [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q)
|
- [ ] [什么是傅立叶变换？ (视频)](https://www.youtube.com/watch?v=Xxut2PN-V8Q)
|
||||||
- [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4)
|
- [ ] [关于 FFT 的不同观点 (视频)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4)
|
||||||
- [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/)
|
- [ ] [FTT 是什么](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/)
|
||||||
|
|
||||||
- ### Bloom Filter
|
- ### 布隆过滤器
|
||||||
- Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k)
|
- 给一个布隆过滤器m比特和k个哈希函数，所有的注入和相关测试都会是通过。
|
||||||
- [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs)
|
- [布隆过滤器](https://www.youtube.com/watch?v=-SuTGoFYjZs)
|
||||||
- [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78)
|
- [布隆过滤器 | 数据挖掘 | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78)
|
||||||
- [Tutorial](http://billmill.org/bloomfilter-tutorial/)
|
- [教程](http://billmill.org/bloomfilter-tutorial/)
|
||||||
- [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/)
|
- [如何写一个布隆过滤器应用](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/)
|
||||||
|
|
||||||
- ### van Emde Boas Trees
|
- ### van Emde Boas 树
|
||||||
- [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6)
|
- [ ] [争论: van Emde Boas 树 (视频)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6)
|
||||||
- [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf)
|
- [ ] [MIT课堂笔记](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf)
|
||||||
|
|
||||||
- ### Augmented Data Structures
|
- ### 更深入的数据结构
|
||||||
- [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950)
|
- [ ] [CS 61B 第 39 课: 更深入的数据结构](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950)
|
||||||
|
|
||||||
- ### Skip lists
|
- ### 跳表
|
||||||
- "These are somewhat of a cult data structure" - Skiena
|
- "有一种非常迷幻的数据类型" - Skiena
|
||||||
- [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
|
- [ ] [随机化: 跳表 (视频)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
|
||||||
- [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list)
|
- [ ] [更生动详细的解释](https://en.wikipedia.org/wiki/Skip_list)
|
||||||
|
|
||||||
- ### Network Flows
|
- ### 网络流
|
||||||
- [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0)
|
- [ ] [5分钟简析Ford-Fulkerson (视频)](https://www.youtube.com/watch?v=v1VgJmkEJW0)
|
||||||
- [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0)
|
- [ ] [Ford-Fulkerson 算法 (视频)](https://www.youtube.com/watch?v=v1VgJmkEJW0)
|
||||||
- [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI)
|
- [ ] [网络流 (视频)](https://www.youtube.com/watch?v=2vhN4Ice5jI)
|
||||||
|
|
||||||
- ### Disjoint Sets & Union Find
|
- ### 不相交集 & 联合查找
|
||||||
- [ ] [Disjoint Set](https://en.wikipedia.org/wiki/Disjoint-set_data_structure)
|
- [ ] [不相交集](https://en.wikipedia.org/wiki/Disjoint-set_data_structure)
|
||||||
- [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21)
|
- [ ] [UCB 61B - 不相交集; 排序 & 选择(视频)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21)
|
||||||
- [ ] Coursera (not needed since the above video explains it great):
|
- [ ] Coursera (not needed since the above video explains it great):
|
||||||
- [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview)
|
- [ ] [概览](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview)
|
||||||
- [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations)
|
- [ ] [初级实践](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations)
|
||||||
- [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees)
|
- [ ] [树状结构](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees)
|
||||||
- [ ] [Union By Rank](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank)
|
- [ ] [合并树状结构](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank)
|
||||||
- [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression)
|
- [ ] [路径压缩](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression)
|
||||||
- [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional)
|
- [ ] [分析选项](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional)
|
||||||
|
|
||||||
- ### Math for Fast Processing
|
- ### Math for Fast Processing
|
||||||
- [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
|
- [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
|
||||||
|
|||||||
Loading…
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Reference in New Issue
Block a user