Internet:

Seminarium zakładowe:

http://www.mini.pw.edu.pl/~mandziuk/sem_IO.htm

Computer science:

1. https://www.atlassian.com/git/tutorials/ – very nice Git tutorial
2. http://gitimmersion.com/lab_01.html – another Git tutorial
3. http://zetcode.com/gui/pysidetutorial/ – tutorial for Python+Qt

Foreign language learning:

1. http://fourhourworkweek.com/2014/03/21/how-to-learn-a-foreign-language-2/ – blog post about modern ways of languages learning
2. https://www.duolingo.com/ – online language learning
3. http://www.memrise.com/ – online language learning
4. http://ankisrs.net/ – flashcards application
5. https://en.wikipedia.org/wiki/Common_European_Framework_of_Reference_for_Languages – A1..C2 levels explained

Books:

1. Cracking the Coding Interview – 150 Programming Interview Questions and Solutions, Gayle Laakmann
2. Clean Code, Robert C. Martin
3. Elements of Statistical Learning, https://web.stanford.edu/~hastie/Papers/ESLII.pdf
4. An Introduction to Statistical Learning, https://www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20Printing.pdf
5. Pattern Recognition and Machine Learning, http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf