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IPython Interactive Computing and Visualization Cookbook

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

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781785888632
Length 548 pages
Edition 2nd 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 (19) Chapters Close

IPython Interactive Computing and Visualization CookbookSecond Edition
Contributors
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

Debugging code with IPython


Debugging is an integral part of software development and interactive computing. A widespread debugging technique consists of placing the print() functions in various places in the code. Who hasn't done this? It is probably the simplest solution, but it is certainly not the most efficient (it is the poor man's debugger).

IPython is perfectly adapted for debugging, and the integrated debugger is quite easy to use (actually, IPython merely offers a nice interface to the native Python debugger pdb). In particular, tab completion works in the IPython debugger. This recipe describes how to debug code with IPython.

How to do it...

There are two not-mutually exclusive ways of debugging code in Python. In the post-mortem mode, the debugger steps into the code as soon as an exception is raised, so that we can investigate what caused it. In the step-by-step mode, we can stop the interpreter at a breakpoint and resume its execution step by step. This process allows us to check...

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