Welcome to Scientific Python and its community! With this practical book, you’ll learn the fundamental parts of SciPy and related libraries, and get a taste of beautiful, easy-to-read code that you can use in practice. More and more scientists are programming, and the SciPy library is here to help.
Finding useful functions and using them correctly, efficiently, and in easily readable code are two very different things. You’ll learn by example with some of the best code available, selected to cover a wide range of SciPy and related libraries—including scikit-learn, scikit-image, toolz, and pandas.
The examples highlight clever, elegant uses of advanced features of NumPy, SciPy, and related libraries. Beginners will learn not the functionality of the library, but its application to real world problems. This book starts from first principles and provides all of the necessary background to understand each example, including idioms, libraries, and scientific concepts.
Table of Contents
Chapter 1. Elegant NumPy: The Foundation of Scientific Python Chapter 2. Quantile normalization with NumPy and SciPy Chapter 3. Networks of Image Regions with ndimage Chapter 4. Frequency and the fast Fourier transform Chapter 5. Contingency tables using sparse coordinate matrices Chapter 6. Linear algebra in SciPy Chapter 7. Function optimization in SciPy Chapter 8. Big Data in Little Laptop with Toolz
Title: Elegant SciPy: The Art of Scientific Python Author: Harriet Dashnow, Juan Nunez-Iglesias, Stéfan van der Walt Length: 268 pages Edition: 1 Language: English Publisher: O'Reilly Media Publication Date: 2017-08-25 ISBN-10: 1491922877 ISBN-13: 9781491922873
Book Download How to Download?
|Free Download Link||Format||Size (MB)|
|Click to download||PDF (Early Release)||20.5|