Programming and Computer Science Resources

[Enigman]

Learn Linux the hard way
http://nixsrv.com/llthw

 

[DavidHume]

A computational notation, "J":
http://www.jsoftware.com

 

[TheDemx27]

Nothing about assembly I've seen:
http://www.cs.virginia.edu/~evans/cs216/guides/x86.html

And this - this is an absolute gem. It is the most fun, interactive way to build upon elementary assembly skills that I've come across, and I strongly recommend anyone interested in learning assembly to look at it.

https://microcorruption.com/about

 

[Nick O]

A great Haskell primer: http://shuklan.com/haskell/index.html

 

[TheDemx27]

Bot stuff. Its pretty fun.
http://fruitbots.org/

 

[shaitan]

Hi, I have a very Bad reputation with maths,yet i want to learn about algorithms and their analysis , theory of computation , and machine learning . Can anyone help me with the level of mathematical understanding I need to understand these topics. I really want to understand these things

 

[Toreno]

If you already know some C/C++ and need extra performance, I would like to recommend use of NVIDIA CUDA.
It have a great set of samples and libraries. Personally I use it as a great sandbox for computer simulations.

For CUDA I recommend course on coursera.org: https://www.coursera.org/course/hetero

Installation is quite simple nowadays. For example on windows:
- download and install MS Visual Studio 2015 Community or MS Visual Studio 2012 Express depending on what HW and CUDA version you use.
- download and install CUDA toolkit or check archive. In my case it is enough to use CUDA 5.5 but of course I recommend the latest.

Good instalation guide is also here.

 

[The-Mad-Lisper]

http://mitpress.mit.edu/sicp/

This.

 

[Emman1]

Where can I find a freely downloadable ifort compiler suitable for a dual core Ubuntu system. The non-commercila version available at the Intel website is rather too big
Emman 1

 

[Jozape]

A good introduction to programming using Python, similar to Structure and Interpretation of Computer Programs, is Composing Programs:

http://composingprograms.com/

 

[Risha Rommi]

here are some some helpful resources
http://www.perlmonks.org/index.pl?node=Tutorials
http://archive.ncsa.uiuc.edu/General/Training/PerlIntro/
http://www.comp.leeds.ac.uk/Perl/start.html

 

[Ben Gilliam]

Overall great thread! Thanks for everyone's input.

 

[doglover9754]

I prefer to use www.codecademy.com

 

[Svein]

Regardless of the coding language chosen, the best tool for coding efficiency is an excellent code editor. And no - Notepad is not a code editor.

I used to be most effective with Brief - and then Borland bought it, renamed it Codewright and dropped it.

My programming editor of choice now is Slickedit.

 

[Curiosity 1]

As a self-taught programmer, I follow mainly OSSU's (Open Source Society University) curriculum on GitHub. It claims to be a complete education in computer science and has a list of free MOOC courses that you can follow, just like attending university.
https://github.com/ossu/computer-science

 

[doglover9754]

As a self-taught programmer, I follow mainly OSSU's (Open Source Society University) curriculum on GitHub. It claims to be a complete education in computer science and has a list of free MOOC courses that you can follow, just like attending university.
https://github.com/ossu/computer-science

I’m also a self taught programmer. Well, sorta... I learned a little on my own and then when I got really serious about it, I used other sources to help me.

 

[levadny]

For Russian.
1. Stepic.org - russian education resources, equal coursera.
2. Russian language course C++ White Belt (for c++ beginners) - https://www.coursera.org/learn/c-plus-plus-white

 

[Gordan]

Personally, I prefer reading code theory, especially when I was a beginner at coding and often needed some guidance on how to perform one thing or another. An example of such code theory would be this: https://www.bitdegree.org/learn/ . I like that everything is explained step-by=step and it's easy to navigate thanks to the sidebar

 

[aaroman]

My GitHub repository: https://github.com/aromanro?tab=repositories has16 C++ projects targeted at computational physics. I'm working on the 17th now, on Ray Tracing (related with geometrical optics quite well).

Projects range from easy physics topics to quite advanced.

 

[romerol]

So far my coding is not so good so I usually re-use other programs and add/modify them. Here is good resource to look at some code examples:

code examples in different languages

 

[whitedog484]

Thank you very much! This is A LOT of resources. Absolutely what I am looking for.

 

[sysprog]

Links to pages for open source textbooks for 35 programming languages and for no-charge textbooks for 3 more: https://www.ossblog.org/opensourcebooks/.