January 2018
Beginner to intermediate
548 pages
12h 11m
English
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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 reports from cProfile.
To profile code line-by-line, we need an external Python module named line_profiler. In this recipe, we will demonstrate how to use this module within IPython.
Getting ready
To install line_profiler, type conda install line_profiler in a Terminal.
How do to it...
We will profile the same simulation code as in the previous recipe, line-by-line.
- First, let's import NumPy and the
line_profilerIPython extension ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.