July 2016
Beginner to intermediate
462 pages
9h 14m
English
Content preview from Python Data Analysis CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Profiling memory usage
In Python Data Analysis, we used various profiling tools. These tools mostly had to do with measuring execution times. However, memory is also important, especially if we don't have enough of it. Memory leaks are a common issue with computer programs that we can find by performing memory profiling. Leaks occur when we don't release memory that is not needed. Problems also may occur when we use data types that require more memory than we need, for instance, NumPy float64 arrays when integer arrays will do.
The Python memory_profiler module can profile memory usage of code line by line. Once you install it, you can also use the module in an IPython notebook via various magic commands. The module works by communicating with ...
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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.