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IPython Interactive Computing and Visualization Cookbook

You're reading from   IPython Interactive Computing and Visualization Cookbook Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes

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Product type Paperback
Published in Sep 2014
Publisher
ISBN-13 9781783284818
Length 512 pages
Edition 1st Edition
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Author (1):
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Cyrille Rossant Cyrille Rossant
Author Profile Icon Cyrille Rossant
Cyrille Rossant
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Table of Contents (17) Chapters Close

Preface 1. A Tour of Interactive Computing with IPython FREE CHAPTER 2. Best Practices in Interactive Computing 3. Mastering the Notebook 4. Profiling and Optimization 5. High-performance Computing 6. Advanced 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

Choosing (or not) between Python 2 and Python 3

In this first recipe, we will briefly cover a transverse and kind of a prosaic subject: Python 2 or Python 3?

Python 3 has been available since 2008, but many Python users are still stuck with Python 2. By improving many aspects of Python 2, Python 3 has broken compatibility with the previous branch. Migrating to Python 3 may therefore require a significant investment.

Even if there aren't that many compatibility-breaking changes, a program that works perfectly fine in Python 2 may not work at all in Python 3. For example, your very first Hello World Python 2 program doesn't work anymore in Python 3; print "Hello World!" raises a SyntaxError in Python 3. Indeed, print is now a function rather than a statement. You should write print("Hello World!"), which also works fine in Python 2.

Whether you start a new project or need to maintain an old Python library, the question of choosing between Python 2 and Python 3...

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