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Optimise Python with closures

Originally posted on Wrong Side of Memphis:

This blog post by Dan Crosta is interesting. It talks about how is possible to optimise Python code for operations that get called multiple times avoiding the usage of Object Orientation and using Closures instead.

While the “closures” gets the highlight, the main idea is a little more general. Avoid repeating code that is not necessary for the operation.

The difference between the first proposed code, in OOP way

and the last one

The main differences are that both the config dictionary and the methods (which are also implemented as a dictionary) are not accessed. We create a direct reference to the value (categories and mode) instead of making the Python interpreter search on the self methods over and over.

This generates a significant increase in performance, as described on the post (around 20%).

But why stop there? There is another clear win in terms of access, assuming that the…

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Why should you use namedtuple instead of a tuple?

Hi there guys! You might already be acquainted with tuples. A tuple is a lightweight object type which allows to store a sequence of immutable Python objects. They are just like lists but have a few key differences. The major one is that unlike lists, you can not change a value in a tuple. In order to access the value in a tuple you use integer indexes like: Continue reading

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