……似乎被重新发布是因为这本书现在在亚马逊上有售：https://www.amazon.com/dp/1792644833 之前只能通过 PDF 获取。如果你在学习算法，强烈推荐，我可能会买一本支持 Jeff（并在书里加上我自己的笔记）。
…appears to be being re-posted because the book is now available on Amazon: https://www.amazon.com/dp/1792644833 The text used to only be available via a PDF. Highly recommend if you're learning about algorithms, might buy a copy myself just to support Jeff (and add my own notes into the book).
…programming challenges with online judging, etc). In addition to what others have mentioned, here are some example resources you might prefer for a beginner-intermediate level intro: 1. (free online) Algorithms by Dasgupta, Papadimitriou, and Vazirani http://algorithmics.lsi.upc.edu/docs/Dasgupta-Papadimitriou-... 2. (free online) Algorithms by Jeff Erickson https://jeffe.cs.illinois.edu/teaching/algorithms/…
看情况？1. 编程哲学？- Unix 哲学 - 每个程序员都应该知道的 97 件事 2. CS 基础 - Simon 的《计算系统要素》（The Elements of Computing Systems） - Jeff Erickson 的《算法》（Algorithms） 3. 数据科学 - Toby Segaran 的《集体智慧编程》（Programming Collective Intelligence） - Ian Goodfellow 和 Yoshua Bengio 的《深度学习》（Deep Learning）
It depends? 1. Programming Philosophy? - The Unix Philosophy - 97 Things every programmer should know 2. CS Fundamentals - The Elements of Computing Systems by Simon - Algorithms by Jeff Erickson 3. Data Science - Programming Collective Intelligence by Toby Segaran - Deep Learning by Ian Goodfellow & Yoshua Bengio
这是 Jeff Erickson 的免费教材（实际上是一套详细的讲义），关于算法，是 Jeff 在 UIUC 教的课程，他经常因此获得教学奖。绝对值得你花时间。Jeff 正在为计算拓扑学编写类似的讲义：http://www.cs.uiuc.edu/~jeffe/teaching/comptop/schedule.html。……
This is Jeff Erickson's free textbook (really a set of detailed lecture notes) on Algorithms, a course that Jeff teaches at UIUC and routinely wins teaching awards for. Definitely worth your time. Jeff is working on a similar set of notes for Computational Topology: http://www.cs.uiuc.edu/~jeffe/teaching/comptop/schedule.html.…
都是好资源。我还要加上 Jeff Erickson 的《算法及其他》（Algorithms, Etc.）。http://jeffe.cs.illinois.edu/teaching/algorithms/ 至于练习，Google Code Jam 的历年题目相当有挑战性 ;) https://code.google.com/codejam/
All good resources. I'd also add Algorithms, Etc. by Jeff Erickson. http://jeffe.cs.illinois.edu/teaching/algorithms/ And for practice, Google Code Jam past problems are quite challenging ;) https://code.google.com/codejam/
……似乎被重新发布是因为这本书现在在亚马逊上有售：https://www.amazon.com/dp/1792644833 之前只能通过 PDF 获取。如果你在学习算法，强烈推荐，我可能会买一本支持 Jeff（并在书里加上我自己的笔记）。
…appears to be being re-posted because the book is now available on Amazon: https://www.amazon.com/dp/1792644833 The text used to only be available via a PDF. Highly recommend if you're learning about algorithms, might buy a copy myself just to support Jeff (and add my own notes into the book).
……带在线评测的编程挑战等）。除了其他人提到的，这里有一些你可能更喜欢的初级到中级入门资源：1.（免费在线）Dasgupta、Papadimitriou 和 Vazirani 的《算法》（Algorithms）http://algorithmics.lsi.upc.edu/docs/Dasgupta-Papadimitriou-... 2.（免费在线）Jeff Erickson 的《算法》（Algorithms）https://jeffe.cs.illinois.edu/teaching/algorithms/……
…programming challenges with online judging, etc). In addition to what others have mentioned, here are some example resources you might prefer for a beginner-intermediate level intro: 1. (free online) Algorithms by Dasgupta, Papadimitriou, and Vazirani http://algorithmics.lsi.upc.edu/docs/Dasgupta-Papadimitriou-... 2. (free online) Algorithms by Jeff Erickson https://jeffe.cs.illinois.edu/teaching/algorithms/…
看情况？1. 编程哲学？- Unix 哲学 - 每个程序员都应该知道的 97 件事 2. CS 基础 - Simon 的《计算系统要素》（The Elements of Computing Systems） - Jeff Erickson 的《算法》（Algorithms） 3. 数据科学 - Toby Segaran 的《集体智慧编程》（Programming Collective Intelligence） - Ian Goodfellow 和 Yoshua Bengio 的《深度学习》（Deep Learning）
It depends? 1. Programming Philosophy? - The Unix Philosophy - 97 Things every programmer should know 2. CS Fundamentals - The Elements of Computing Systems by Simon - Algorithms by Jeff Erickson 3. Data Science - Programming Collective Intelligence by Toby Segaran - Deep Learning by Ian Goodfellow & Yoshua Bengio
这是 Jeff Erickson 的免费教材（实际上是一套详细的讲义），关于算法，是 Jeff 在 UIUC 教的课程，他经常因此获得教学奖。绝对值得你花时间。Jeff 正在为计算拓扑学编写类似的讲义：http://www.cs.uiuc.edu/~jeffe/teaching/comptop/schedule.html。……
This is Jeff Erickson's free textbook (really a set of detailed lecture notes) on Algorithms, a course that Jeff teaches at UIUC and routinely wins teaching awards for. Definitely worth your time. Jeff is working on a similar set of notes for Computational Topology: http://www.cs.uiuc.edu/~jeffe/teaching/comptop/schedule.html.…
都是好资源。我还要加上 Jeff Erickson 的《算法及其他》（Algorithms, Etc.）。http://jeffe.cs.illinois.edu/teaching/algorithms/ 至于练习，Google Code Jam 的历年题目相当有挑战性 ;) https://code.google.com/codejam/
All good resources. I'd also add Algorithms, Etc. by Jeff Erickson. http://jeffe.cs.illinois.edu/teaching/algorithms/ And for practice, Google Code Jam past problems are quite challenging ;) https://code.google.com/codejam/
这是求资源还是求人加入？如果是前者，我推荐 Jeff Erickson 的免费算法教材。
Is this an ask for resources or an ask for people to join. If the former, I recommend jeff Erickson's freely available Algorithms textbook