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|Print List Price:||£27.99|
Save £8.92 (32%)
Learning Scientific Programming with Python 1st Edition, Kindle Edition
|Length: 462 pages|
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No prior knowledge is assumed, so if you haven't touched python before never fear! Learning Scientific Programming with Python by Christian Hill is here! It even includes instructions for installation on Windows, Mac OS X and Linux.
The book walks you through the core python language and useful modules for scientific programming (Numpy, Scipy and Matplotlib) with user friendly descriptions, examples and exercises. The book even has a website, scipython .com, where you can download code examples and exercise solutions.
One general comment, there is a more recent version of IPython Notebook (described in Chapter 5) called Jupyter, more information available
from Jupyter .org.
I highly recommend this book to pythonic people and future pythonic people alike.
The book comes with clear explanations accompanied by example of code applications. Each section is also followed my exercises which helps asses understanding. The best part is the exercises comes with SOLUTIONS at the back of the book and available online too!
This book has helped me through even the tiniest information most books thought unnecessary to include. I'm a complete beginner and this book is more than enough!
The book starts from scratch with an in depth look at Python objects and structures, and covers essentials like plotting, NumPy arrays, and Ipython (including Ipython/Jupyter notebooks). There are many scientific (mostly physics) examples throughout, as well as numerous questions (with solutions at the back) and problems. In particular chapter 9 gives great advice on style and best practice – this book will not just teach you how to code in Python, it will teach you how to do it well.
There's also an accompanying website at [...] with further examples and exercises.
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