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Classic Computer Science Problems in Python

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really liked it 4.00  ·  Rating details ·  17 ratings  ·  4 reviews
Paperback, 275 pages
Published February 4th 2019 by Manning Publications
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M. Vinicius
Apr 30, 2019 rated it liked it
This is a book I really wish to like more but there's a lot of problems preventing that.

- The Python type system is cumbersome. Really cumbersome in a way that you care more about some TypeVar("T") than the problem itself. So there's a lot of type hinting and amazing things you can do with python 3.6+ but after some time you forget the 'classic problems' part.
- A lot of problems do not have test cases, nor a 'main()' function to test it (some are asked in exercises but still I
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Henrik Warne
Oct 20, 2019 rated it it was amazing
I really liked Classic Computer Science Problems in Python. It covers many interesting algorithms, several of which I had not read about before. My favorites in the book were neural networks, constraint-satisfaction problems, genetic algorithms, and the minimax algorithm.

For most of the algorithms, the author develops a framework solution, and then uses it to solve a few different problems of the same kind. The solutions are complete but small programs that you can download from GitH
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Stein Karlsen
Jun 12, 2019 rated it really liked it
Shelves: short, coding
Good on both python part and computer problems. Really liked that the author used a recent version of python
Joe
Jul 17, 2019 rated it liked it
Shelves: nonfiction, computers
Good review for someone who already knows the basics of Python and computer programming. I encountered a few problems that I hadn't seen before, but after I read them I thought, "Oh, I can see why these are important computer problems." There are even some data science algorithms in here (K-means clustering, neural networks).
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