Book Image

IPython Interactive Computing and Visualization Cookbook

By : Cyrille Rossant
Book Image

IPython Interactive Computing and Visualization Cookbook

By: Cyrille Rossant

Overview of this book

Table of Contents (22 chapters)
IPython Interactive Computing and Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Profiling your code line-by-line with line_profiler


Python's native cProfile module and the corresponding %prun magic break down the execution time of code function by function. Sometimes, we may need an even more fine-grained analysis of code performance with a line-by-line report. Such reports can be easier to read than the reports of cProfile.

To profile code line-by-line, we need an external Python module named line_profiler created by Robert Kern, available at http://pythonhosted.org/line_profiler/. In this recipe, we will demonstrate how to use this module within IPython.

Getting ready

To install line_profiler, type pip install line_profiler in a terminal, or type !pip install line_profiler in IPython (you need a C compiler).

On Windows, you can use Chris Gohlke's unofficial package available at www.lfd.uci.edu/~gohlke/pythonlibs/#line_profiler.

How do to it...

We will profile the same simulation code as in the previous recipe, line-by-line:

  1. First, let's import NumPy and the line_profiler...