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Think Python Paperback – 17 August 2012

by Allen Downey (Author)
4.4 4.4 out of 5 stars 52 ratings
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Think Python: How to Think Like a Computer Scientist
Think Python: How to Think Like a Computer Scientist
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Think Python is an introduction to Python programming for students with no programming experience. It starts with the most basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.
Previous page
  1. Print length
    300 pages
  2. Language
    English
  3. Publisher
    O′Reilly
  4. Publication date
    17 August 2012
  5. Dimensions
    17.78 x 2.18 x 23.34 cm
  6. ISBN-10
    144933072X
  7. ISBN-13
    978-1449330729
  8. See all details
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Product description

About the Author

Allen Downey is an Associate Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.

Product details

  • Publisher ‏ : ‎ O′Reilly (17 August 2012)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 300 pages
  • ISBN-10 ‏ : ‎ 144933072X
  • ISBN-13 ‏ : ‎ 978-1449330729
  • Dimensions ‏ : ‎ 17.78 x 2.18 x 23.34 cm
  • Customer Reviews:
    4.4 4.4 out of 5 stars 52 ratings

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4.4 out of 5 stars
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RJB
5.0 out of 5 stars Scientific book for university students,
Reviewed in the United Kingdom on 9 January 2023
Verified Purchase
Very useful to my grandson at university
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DrewOJensen
5.0 out of 5 stars Not just for Python beginners
Reviewed in the United States on 30 November 2013
Verified Purchase
Where was this book when I was taking college programming classes! I have to start off in saying that if you're a beginner in programming, this book is phenomenal. Allen explains the basics very clearly and thoroughly. I'd have to say this book is half about beginner programming and half on Python. As an FYI, this book is good for many basic principles of Python but if you're looking for anything more than just that, I'd recommend  Learning Python, 5th Edition  by Mark Lutz.

I bought this book for a new job that I took. I minored in CS and wish I would have had this book as my first programming book. I was attracted to it because I needed to learn Python (for work) and all of the guys use the Learning Python for reference. I figured why not start from the beginning and work my way there.

As far as the progression of the book, it moves pretty quickly. You have to stay on your toes with the examples. Having been exposed to a bit of Python before reading, I was able to keep up with the examples just in my head for a little while but as the book moved on, I was doing them in a console. I also think the flow of the book and how Allen moves from topic to topic keeps things cohesive quite well.

Overall, very well executed book and Allen assumes the reader has no experience in programming. Great book!

Update 1/20/14:
After finishing the book I wanted to write a follow up. I have to say that I stand by my initial review and rating! It has been a huge help in getting me up to speed. There are a few specific things that I would like to address.

In regards to the basic principles of Python, this book had done a very good job at balancing what you need to know vs what you can know. It was good to be reminded that this book is a beginner book. I ended up looking up more details and specifics of certain functions and methods mostly because I had specific requirements that I needed to perform with them. This can't be faulted on the author. As I had mentioned in my first review, if you're looking for more specifics,  Learning Python, 5th Edition  by Mark Lutz is a great tool. I've borrowed a coworkers copy and will be getting one of my own soon.

I cannot speak on behalf of the database content since I skipped over that section and have no experience doing database/structure.

Otherwise still very good book. I enjoyed being challenged as I read the examples and I like how it wasn't just a "finish what I've shown you" type of examples, but the author said, "Ok, I showed you mostly how to do it this way, and you finished it in another example, now do it a completely different way with what we just discussed."
29 people found this helpful
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Mr. T. Pickering
5.0 out of 5 stars Clear - short - information dense
Reviewed in Canada on 4 October 2013
Verified Purchase
Really like this book and the teaching style. It's a great way to learn the language (or indeed to program in general). Throughly recommend.
3 people found this helpful
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Milad Taghavi
3.0 out of 5 stars Good book, but nothing close to ' Think like a computer scientists '. Very gentle introduction to programming and Python languag
Reviewed in Germany on 7 October 2014
Verified Purchase
This book is good for someone with no programming experience.
I was very curious to read this book mainly because of Dive into Python by Pilgrim, He mentions this book a lot .
Out of curiosity, i bought Think Python and i was somehow disappointed because i wasn't expecting a elementary book .

This book is easy to read and i recommend it if you want to pickup Python as your first programming language.
2 people found this helpful
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Ying Jin
5.0 out of 5 stars It's recommended by a professor of data science course
Reviewed in the United States on 20 April 2015
Verified Purchase
The book is brand new and delivered quickly. It's recommended by a professor of data science course. It's really good for students who encountered with python for the first time. There is also brief introduction to computer science and programming languages. It's nicely organized, explained and very easy to follow. I have not yet read it through although the course is over. I used it as a hand book and check whenever I forgot the command or had bugs. I will keep it until I get familiar with python, and becoming skillful. I really like the book because it somehow helps me to learn to think like a computer scientist.
2 people found this helpful
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