Series: Texts in Computational Science and Engineering (Book 6)
Hardcover: 872 pages
Publisher: Springer; 4th ed. 2014 edition (August 2, 2014)
Product Dimensions: 10.3 x 7.1 x 1.7 inches
Shipping Weight: 4.9 pounds (View shipping rates and policies)
Average Customer Review: 4.7 out of 5 stars See all reviews (3 customer reviews)
Best Sellers Rank: #374,404 in Books (See Top 100 in Books) #229 in Books > Science & Math > Physics > Mathematical Physics #250 in Books > Computers & Technology > Databases & Big Data > Data Processing #317 in Books > Computers & Technology > Programming > Languages & Tools > Python
After years away from any programming at work I decided to pick it up again. Python was an obvious choice. I started from page 1 and worked my way through all the exercises. Some very tough for me but I kept pushing. Now I can manage myself at work. In that respect I am very happy about the book.It does however have its flaws:- Way too many exercises have errors (e.g. traces from older versions of some exercises)- The structure of the book is a bit confusing. A bit portion of it is appendices which I won't be spending a lot of time on, to name an example. However, those are easy to ignore (they just make the book heavier)- My focus was to learn scripting and put Python into my engineering toolbox at work. Some parts of the book took me away from that objective (but fair enough, I am not blaming the book for this, at it is written for a variety of purposes)- Some exercises seemed to rely on the person to have read the lecture notes from the author, which he presents when he himself teaches his students. Fair enough, they are available on the internet, but it would have been if the book was self-contained, i.e. that the exercises were solely based on the book text and no outside sourceThat said, for those who want to start from "square one", I can recommend the book. It did a great job with me.-
Clear, valuable, useful! A wonderful intro to Python in general and using it to do science.
GREAT book on practical use of Python in science and engineering.