What are some of the great computer science resources for someone who is fairly experienced with programming?

I have been programming for over a year and I've also read quite a lot of articles about it too. However it is getting really hard to dig one out for a long time. All I see whenever I search for resources is meant for absolute beginners.

I want resources covering certain topic in depth like

- Programming paradigms
- Dynamic programming
- Theory of computation and computational science
- Algorithm and data structures
- Performance analysis and optimization
- Basics of AI

**and many more!**

But there are limited resources available which actually cover all the topics in depth (I want very rigorous resources equivalent to actual university semester).

Please provide me some good resources which cover the topics. It can be any type of resource including websites and books.

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## Comments

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TopNewestAlgorithm Design and General:Focus on rigour)Slightly informal)Focus on Pragmatic Examples)Focus on competitive programming)Known for being hard)Metaheuristic Algorithms)Theoretical Computer Science:Informal)Artificial Intelligence:Lower Level Understanding of Programming:Information Theory and Cryptography:Discrete Optimization:Focus on Theory)Focus on Problem Solving)Functional Programming:Informal)List of Miscellaneous Free Programming Books:vhf/free-programming-booksLog in to reply

I would like to extend your list by three very different but very useful (especially at the beginning) books:

Practical Common Lisp - LISP is a perfect langugage (MIT use one of them (Scheme) as start language) for learn meta-programming

"Discrete Mathematics and Combinatorics" James A. Anderson - Fundamental book about Discrete Mathematics. Starts from logic & proofs and finishs with Theory of Information and Number Theory.

Mathematics for Computer Science - free book from MIT (you can easly google and download it) as a perfect guide for Mathematics that required in Computer Science. Also "Concrete Mathematics" is also very-very good.

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Anything for meta-programming?

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Seems like I finally have to learn ((((((((((((((((((((LISP)))))))))))))))))))) [if you know what I'm saying].

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The deeper you understand abstraction and combination, the deeper you understanding programming. Functional programming is very helpful in developing you intuition on abstraction and combination. Haskell and lisp are both functional programming language, but haskell is more pure functional than lisp. More importantly, you have to think about TYPE in haskell, which is very helpful for a deeper understanding about writing well combination program.

I point out the advantanges of haskell to support my statement "you can gain more from lisp than haskell. I promise you", which may be strange. But this is my way to recommend. I said A is better than B not because I know a lot of advantages about A, but because I know both the advantages of A and B and on your situation I prefer A than B.

You should learn both. If you have to pick one, pick lisp.

Books to start (Lisp) :

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Actually, I have some knowledge of haskell and I did like the concept of type and pure functionalism. May be LISP is better in this case, I do not know.

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'Code is Data' also provide a syntax level abstraction. You could search 'lisp macro' for more information.

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I had to look that term up. I have no idea about this one.

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The links in "Performance Optimization #1" and "Functional Programming #1" are broken.

By the way, why no SICP in the list ?

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Fixed.

Actually, I came to know about that book only half an hour ago (what a coincidence!). I added it and a several others.

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This thread has a lot of valuable information. Agnishom, if you don't mind, can I/you create a wiki with this info so that this is available to a wider audience?

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Yes, that is a pretty good idea

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here. Contact me on Slack for collaborating.

I have started a wikiLog in to reply

Do u know programming on java(specifically netbeans)?

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NetBeans is a IDE right? How does that matter?

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Thanks for your reply!

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Please check this out @Arulx Z

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Sounds like you're looking for a masters degree in cs.. try looking up university courses which post lecture material online.. then have yourself a blast (:

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Maybe you would like to give it a try at learning some binary exploitation

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Yes, binary exploitation is an interesting thing too. But I had very little idea about it when this note was written.

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Would be great if we have more resources about this topic here, just like all the really nice wikis about AI and algorithms.

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Hey @Agnishom Chattopadhyay @Arulx Z

How can I improve my algorithm writing skill?Any suggestion?Any good website or book?

In short, how can I become a good programmer?

Thanks!

PS I am a mere beginner.

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Agnishom is a better programmer and he can definitely help you more but the key to improving is practicing, experimenting and figuring out algorithms on your own. That's how experts are made. Apart from Brilliant, also check out websites like CodeChef, HackerRank, HackerEarth, SPOJ, Project Euler etc.

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yess!!

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I'll reply to the other question here too:

I did not have a lot of things to do when I was a child. I had books and a computer. I was not a very social person and did not go out to play with my neighbours because I was not very good friends with them. My dad was a scientist who used to do numerical simulations on computers. Hence, I was attracted to computers because of this attraction to the great mystery of numerical simulations. Although, I had not been good with algorithms for that long, but I have been coding since 7 or 8.

I understand that there is a lot of pressure for the average Indian teenager. This is quite frustrating to me too. I am going to college this fall.

You'll find a lot of resources in one of the highest voted comments in this thread including algorithm resources. Can you find it?

The best way to improve your algorithmic skills is to solve algorithmic problems in the Brilliant Computer Science sections, Project Euler, CodeChef, USACO training pages, sphere online Judge, codeforce, and many more. Sometimes having a nice programming project of your own also helps. Common examples include your own games, your own webapp or a website or things like that. I did that a lot too.

Of course, I still have a long way to go and improve.

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Thanks for reply, Agnishom and Arul.

BTW can knowing more programming languages help me ?

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Sometimes the answer is yes though. You gain something by learning a language which makes you think differently. For example, a procedural programmer could learn something new by learning a functional language.

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Thanks!

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Can u guys help me learning java?.I searched so many tutorials bt I didnt get me helped following those.so pls do help.

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I'll be more than happy to help. What tutorials did you try? Can you elaborate on what problems you are having?

I suggest CodeCademy for an interactive tutorial.

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Check out courses on MITOCW/edX too. I'm not sure if they teach java (they most probably have Python). However, the code writing skills matter not the language. Hence it would be a valuable experience.

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Have you tried Codecademy ?

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Thanks for your suggestion. However I did try Codecademy. However, it just provides resources to learn a language and provides no support on how write elegant and efficient code.

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@Agnishom Chattopadhyay @Arulx Z Sorry for going off topic, but I too am learning Programming (in C++) for the first time. I've studied up to Arrays and would love to go beyond on my own; my school doesn't really teach a lot in depth. I'm particularly interested in learning Dynamic Programming. Any help offered would be greatly appreciated. Thanks in advance!

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How about problem solving - dynamic programming ?

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Yeah, ofcourse that too :)

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There are many resources which are available online. I recommend reading them, so you are clear about the basics.

Dynamic Programming and Optimal Controlby Dimitri P. Bertsekas is a nice book about dynamic programming (suggested by Abhishek Sinha in this thread). I recommend reading it and be sure to keep on practicing to improve.Don't worry if you are being off topic. In fact, it would be nice if anyone in need of clarification / resource request (which is related CS) asks their questions here.

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Ahh, don't you think it is too advanced to begin on DP. @Ishan Dasgupta Samarendra , i would recommend using the usual CLRS book.

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What kind of performance analysis? Is this about hardware?

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I mean code optimization (like reducing complexity and memory usage etc.) by performance analysis so it's about the software rather than hardware. I'm sorry for ambiguity.

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