December 2016
Intermediate to advanced
332 pages
6h 2m
English
book
Scientific Computing with Python 3
by Claus Führer, Claus Fuhrer, Jan Erik Solem, Olivier Verdier
Content preview from Scientific Computing with Python 3Become 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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Performance and Vectorization
When it comes to performance of your Python code, it often boils down to the difference between interpreted code and compiled code. Python is an interpreted programming language and basic Python code is executed directly without any intermediate compilation to machine code. With a compiled language, the code needs to be translated to machine instructions before execution.
The benefits of an interpreted language are many but interpreted code cannot compete with compiled code for speed. To make your code faster, you can write some parts in a compiled language like FORTRAN, C, or C++. This is what NumPy and SciPy do.
For this reason, it is best to use functions in NumPy and SciPy over interpreted versions whenever possible. ...
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