Download PDF Python Programming In Context, by Bradley N. Miller, David L. Ranum
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Python Programming In Context, by Bradley N. Miller, David L. Ranum
Download PDF Python Programming In Context, by Bradley N. Miller, David L. Ranum
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A user-friendly, object-oriented language, Python is quickly becoming the favorite introductory programming language among students and instructors. Many find Python to be a more lucid language than Java but with much of the functionality and therefore the ideal first language for those entering the world of Computer Science. Python Programming in Context, Second Edition is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well-rounded look of its capabilities.
- Sales Rank: #798560 in Books
- Published on: 2013-02-01
- Original language: English
- Number of items: 1
- Dimensions: .0" h x .0" w x .0" l, .0 pounds
- Binding: Paperback
- 498 pages
Most helpful customer reviews
5 of 5 people found the following review helpful.
decent, but no answers to exercises
By Kevin
I like the writing in this book; it is easy to read and the author avoids complicated wording and doesn't use too much jargon at once.
However, the lack of answers to the exercises in the book is a huge problem, as there are few examples per concept, and many times you're left hanging without a firm grasp of the section. This is a shame, as many of the exercises are unique and really encourage a full understanding of the material.
3 of 5 people found the following review helpful.
Beginning Python coders: consider looking elsewhere
By PrintMaven
I found this to be, unfortunately, a really poor choice for learning Python, especially as a first language. Why? Because the authors seem more obsessed with the "science" of computer science and less with teaching a programming langugage. Most books on coding focus on introducing a series of new programming topics--loops and decision trees in one chapter, functions in another--and then use examples mainly to back up what has just been learned. This book takes an opposite approach.The chapters cover a numblingly wide variety of topics that force you to absorb what is often obscure material, while all too frequently leaving the language concepts in the background. Chapter 2, for example, discusses all sorts of ways to determine the value of pi (wouldn't one have been enough, especially for such an early chapter?) Chapter 3 talks about classical crytopgraphy (Vignere ciphers, anyone)? I've rarely seen an intro to programming book that deals with such mathematics as standard deviation and correlation coefficients. Other chapters revolve around data mining and image processing. Interesting stuff...for individual upper-level courses, maybe. Meanwhile, the actual job of learing Python remains almost an afterthought. Examples? Strings aren't discussed until p. 83. How to accept input from users has to wait until p. 99, and gets short shrift thereafter. Do we really need to tackle dozens of infobits (such as how the value of pi was arrived at 2,000 years ago), while sticking almost religiously to the command line, when instead we could be spending precious textbook time learning real-world stuff like how to use IDEs and do program debugging? If the authors want to teach by example--never a bad idea--why not focus on a single (preferably useful) topic, and then build on that topic with the programming knowledge gained in each chapter until, by the end of the book, the reader has at written, instead of dozens of short modules that are loosely-connected at best, one long-form program that covers truly useful things such as parsing user input for errors and exception handling? Sorry--in my opinion this distracting, digressive book makes learning Python significantly harder than it needs to be.
5 of 8 people found the following review helpful.
Author seems like a smart and creative thinker, but covers ridiculous stuff.
By Zen
It starts off very inspiring with the Python turtles. Very rewarding for anyone who has taken a programming class and thought it was too non-practical. The turtles are really fun.
Then the author loses his mind and starts talking about Archimedes math, PI, and Cryptology. He asks questions at the end of chapter he never covered in the readings, which is frustrating.
IMO this book is terrible for a class book, but I am going through it on my own jumping over the weird stuff and picking out the standard programming information like loops etc...
I think the Author seems like he would be a cool guy to get a beer with but needs to refocus this book to the beginner. Clean up the abstract stuff and stick to simple examples for this book. Then write a second book with the weird math references.
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