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Classic Computer Science Problems in Python

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3.69  ·  Rating details ·  39 ratings  ·  11 reviews
”Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.” —Daniel Kenney-Jung, MD, University of Minnesota

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Master formal techniques taught in college computer science classes Connect computer science theory to real-world applications, data, and performance Prepare for programmer interviews Reco
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Paperback, 224 pages
Published March 15th 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 don't think this 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 GitHub. They are
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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
Tom Dopirak
Apr 12, 2020 rated it really liked it
Who reads the directions anymore? Oh yeah it says intermediate Python programmer in the fine print. Let me try it anyway. Oh dear what does that notation mean? Oh it's advisory for features the interpreter hasn't implemented yet or things that are only explained on python.org.

That aside the book was very useful for somebody that kind of knew python at the 3rd grade level and hasn't had a data structures course in 40 years. I am glad I bought it and recommend it to anyone with the will to learn
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Chris Esposo
Jul 26, 2020 rated it really liked it  ·  review of another edition
This is a good alternative introduction to computing with a more modern, intelligence-focused twist (appropriate to the times), and centered less on textbook content/commentary/analysis and more on understanding computing a problem solving paradigm via key folklore problems that propel the instruction and simultaneously skills-build. In this respect, the book can easily be added in a required reading for class, perhaps appropriate for a first or second generalist introduction to computer scienc ...more
Bob Dunbar
Jun 28, 2020 rated it it was amazing
This was a great idea for a book. It compiles a lot of the CS problems you encounter in college and summarizes them succinctly. Understanding the problems and how they are solved will make you a better coder and also prepare you for interviews. Plus, they are interesting on their own.

I also like the author's writing style. This is the first Manning book I've purchased and it reminds me a lot of the No Starch Press books, that is, there was a lot of thought, effort, and editing put into the book
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James Prince
Mar 16, 2020 rated it really liked it
I would recommend this book for someone who has either a recent CS degree XOR a solid Python understanding.

Any combination of the two means this book doesnt have a lot to offer for you.

Other than that it is well written and friendly, I would imagine it could be a good refresher for someone who graduated from CS >10 years ago.

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Jeff
Dec 07, 2019 rated it it was amazing
This is a fantastic primer on some selected fundamental topics in computer science including k means clustering, adversarial search, and artificial neural networks. Follow along with an IDE open and work through the wonderful examples in this book to get the maximum value from the material.
Dmitri Stalnuhhin
Feb 04, 2020 rated it did not like it
Shelves: it
Читал в переводе издательства «Питер», к которому — что бывает редко с технической литературой на русском — нет вообще никаких претензий, кроме, конечно, выбора исходного материала.

Единственное хорошее, что я нашел в этой книге — это отсылки к другим, явно более качественным источникам. Исходя из предположения, что автор их тоже читал, сложно не задаваться вопросом — зачем и для кого была написана эта книга, процентов на 80% идущая внахлест с «Grokking Algorithms»? Сам автор в предисловии упомин
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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).
Lucas Bleme
May 16, 2020 rated it liked it
Some of the most important CS problems are explained in a very simplified manner (mainly search related stuff such as DFS, BFS and a star). Some of them require a more formal definition with better diagrams and data structure analogies.
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May 01, 2019 rated it it was amazing  ·  (Review from the author)
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