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IPython Interactive Computing and Visualization Cookbook

IPython Interactive Computing and Visualization Cookbook

By : Cyrille Rossant
4.5 (13)
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IPython Interactive Computing and Visualization Cookbook

IPython Interactive Computing and Visualization Cookbook

4.5 (13)
By: Cyrille Rossant

Overview of this book

Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
Table of Contents (22 chapters)
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IPython Interactive Computing and Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Writing high-quality Python code


Writing code is easy. Writing high-quality code is much harder. Quality is to be understood both in terms of actual code (variable names, comments, docstrings, and so on) and architecture (functions, modules, and classes). In general, coming up with a well-designed code architecture is much more challenging than the implementation itself.

In this recipe, we will give a few tips about how to write high-quality code. This is a particularly important topic in academia, as more and more scientists without prior experience in software development need to program.

The references given at the end of this recipe contain much more details than what we could mention here.

How to do it...

  1. Take the time to learn the Python language seriously. Review the list of all modules in the standard library—you may discover that functions you implemented already exist. Learn to write Pythonic code, and do not translate programming idioms from other languages such as Java or C++ to...

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