Python Programming in Context

by Bradley N. Miller, David L. Ranum, Julie Anderson

Python Programming in Context, Third Edition provides a comprehensive and accessible introduction to Python fundamentals. Updated with the latest version of Python, the new Third Edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Taking an active learning approach, each chapter starts with a comprehensive real-world project that teaches core design techniques and Python programming while engaging students. An ideal first language for learners entering the rapidly expanding field of computer science, Python gives students a solid platform of key problem-solving skills that translate easily across programming languages.

Genres: Programming, Nonfiction

516 pages, Kindle Edition

First published September 5, 2008

Reviews

[Sean · Rating 2 out of 5]

It teaches the basics well enough. I got about half way and checked out. I went through another book and started this book to reinforce and fill in the gaps. This book does cover more concepts but this is also the biggest drawback. Once you get reading internet pages the book is TRASH at explaining. So bad that I'm actually putting the book down now, skipping the rest of chapter 5, and might come back to it later. I would suggest something like the text by Gaddis (same structure type ass his C++ books which is good and I'm using now) or the ones by Punch/Enbody or Dawson which I own and a quick look though look better than this text. If you need something short and concise, you cant go wrong with Learn Python the Hard Way.

[Khoa · Rating 4 out of 5]

Such a great book. Interesting examples and methods to use Python. It could be better if the exercises have solutions. I haven't looked closely into it yet.

At some points, the author doesn't explain exactly what each line of code does. Some notes with the programs will help readers understand the codes more. For some parts, I don't know how to get the codes or how they fit in the big picture.

[Jwalant · Rating 4 out of 5]

Great way to master Python.