- File Size: 824 KB
- Print Length: 246 pages
- Simultaneous Device Usage: Unlimited
- Publication Date: April 28, 2014
- Sold by: Amazon.com Services LLC
- Language: English
- ASIN: B00K0O8HFQ
- Text-to-Speech: Enabled
- Word Wise: Not Enabled
- Lending: Enabled
- Amazon Best Sellers Rank: #3,747 Free in Kindle Store (See Top 100 Free in Kindle Store)
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|Print List Price:||$9.99|
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Python for Informatics: Exploring Information: Exploring Information Kindle Edition
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Most books looked like they'd been written in 1985, with C/Pascal replaced by Python.
Severance's book felt much more modern, with its emphasis on applications like HTTP services and SQL. The treatment of data structures, which tends to be most of the focus for other books, is limited to the key data structures that programmers use everyday, and not implementation details (e.g., Red-Black BSTs), which are not meaningful in this day and age.
I like the short, and to the point writing style, and the supplemental online resources.
Two places for improvements: more exercises, and an online forum to discuss the book (e.g., discourse.org).
This is not the book for you if you want to learn about the details of things like binary search, heaps, shortest path algorithms - for that Cormen, Leiserson, Rivest, and Stein's opus is appropriate.
However, for the vast majority of readers looking to learn enough to start programming real-world in a short time, look no further.
1) Sign up for Dr. Chuck's python course on Coursera and do all the lessons.
2) Get this book (Coursera course is based on it).
You will learn enough Python to finally make some sense of the other books you gave up on.
" Dr. Chuck" as he is called, has laid out the book in a very logical way, with very useful
examples. Between this book, and his class (FREE on Coursera), you will be rewarded.
The biggest request from the classroom boards, after completion, seems to be a fervent
wish for Dr. Chuck to offer a follow up class. 5 Stars for the bundle!! (Dr.Chuck/book/Coursera) :)
Top international reviews
I have been learning Python for some years on and off. I've tried a lot of books but not persevered. This book really brings it all together well. It is based on the open source Think Python text (itself very good). I like Dr. Chuck's coding conventions and style. There's nothing showy or unnecessarily confusing. The book has a weak design in my opinion and is far from a glossy looking text but it is actually a very good book for learning to code in Python. I highly recommend it.
The language is much closer to everyday language than other textbooks I have attempted reading in the area of software programming, ultimately leading to much easier, intuitive take on the logical basis of programming elements.
I bought it in conjunction with a Python MOOC, the book has some (but not many) redeeming features, in general it's useless as a guide to Python.