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-
-# Comp Science Literature
-This is a list of some books, focusing on topics around computer science, which I recently read or am currently reading or want to read :P
-
-* Anthony Williams, C++ Concurrency in Action: Practical Multihreading
-* The Boost C++ Libraries, Boris Schäling (Online book)
-* Meyers, Effective C++ (Addison-Wesley) C++98 only?
-* Meyers, More Effective C++ (Addison-Wesley) C++98 only?
-* Meyers, Effective STL. C++98 only?
-* Sutter, Exceptional C++
-* Sutter, More Exceptional C++
-* Karlson, Beyond the C++ Standard Library: An Introduction to Boost 1st Edition
-* Maybe Something on Multiprocessing (?)
-* Donald Knuth. The Art Of Computer Programming
-* Algorithms 3rd Edition (by Cormen, Leiserson, Rivest, Stein)
-* Jonathan Bartlett. Programming from the Ground Up
-* C++ in a Nutshell (O’REILLEY, by Lischner)
-* C++ Primer (5th Edition) by Lippman, Lajoie, Moo
-* The C++ Programming Language 4th Edition
-* Dive into Python (2 and 3) by Mark Pilgrim
-* Version Control with Git (O’REILLEY, by Loeliger & McCullough) (next: 9(10) ?)
-* The Linux Command Line, by William Shotts (http://linuxcommand.org/tlcl.php)
-* Debian, The Administrators Handbook (by Hertzog and Mas)
-* Absolute FreeBSD by Michael W. Lucas
-* Modern Operating Systems, Third Edition (by Andrew S. Tannebaum)
-* Linux Device Drivers (O’REILLEY, by Corbert, Rubini, Kroah-Hartman)
-* Linux Kernel in a Nutshell (O’REILLEY,  Greg Kroah-Hartman)
-* Concrete Math (2nd)
-* STOC '83 Proceedings of the fifteenth annual ACM symposium on Theory of computing / Primitives for the manipulation of general subdivisions and the computation of Voronoi diagrams
-* sedgewick & waynes algorithms
-* books from appendix, from programming from ground up?
-
-## What every programmer should know about
-
-* Undefined behaviour: http://blog.llvm.org/2011/05/what-every-c-programmer-should-know.html
-* Memory: http://lwn.net/Articles/250967/
-* Floating point arithmetic: https://docs.oracle.com/cd/E19957-01/806-3568/ncg_goldberg.html
-
-## some areas of interest
-
-Some General Topics I am reasearching right now (or plan to do it). Or used to reasearch...
-
-* Neuronal Networks
-* Deep Learning
-* Random Forrests (and other techniques based on Decision Trees)
-* Simmulated Annealing
-* (Linear) Integer Programming
-