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You're reading from IPython Interactive Computing and Visualization Cookbook Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook

Product type Paperback

Published in Jan 2018

Publisher Packt

ISBN-13 9781785888632

Length 548 pages

Edition 2nd Edition

Languages

Python

Tools

IPython

Concepts

Data Analysis

Author (1):

Cyrille Rossant

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Table of Contents (17) Chapters

Preface

1. A Tour of Interactive Computing with Jupyter and IPython FREE CHAPTER

2. Best Practices in Interactive Computing

3. Mastering the Jupyter Notebook

4. Profiling and Optimization

5. High-Performance Computing

6. Data Visualization

7. Statistical Data Analysis

8. Machine Learning

9. Numerical Optimization

10. Signal Processing

11. Image and Audio Processing

12. Deterministic Dynamical Systems

13. Stochastic Dynamical Systems

14. Graphs, Geometry, and Geographic Information Systems

15. Symbolic and Numerical Mathematics

Index

Using the latest features of Python 3

The latest version of the Python 2.x branch, Python 2.7, was released in 2010. It will reach its end of life in 2020. On the other hand, the first version of the Python 3.x branch, Python 3.0, was released in 2008. The decade-long transition period between Python 2 and Python 3, which are slightly incompatible, has been somewhat chaotic.

Choosing between Python 2 (also known as Legacy Python) and Python 3 used to be tricky since many Python users had not transitioned to Python 3 yet, and many libraries were only compatible with Python 2. Those times are gone and it is now safe to stick with Python 3 in virtually all cases. The only exceptions are when you have to support old unmaintained libraries, or when your users cannot transition to Python 3 for whatever reason.

In addition to fixing the bugs and annoyances of Python 2 (for example, related to Unicode support), Python 3 brings many interesting features in terms of syntax, capabilities of the language...