Working with files in Python is pretty easy. But there’s a common mistake that can sneak into your code. Not closing the file ...

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Take advantage of the high-level async functions in Python’s asyncio library to write more efficient Python applications.

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In Python, you can define functions with optional arguments — that is, arguments that you don’t need to state explicitly afterwards — by providing a default value. Like so: def add_five(a, b=0): ...

Any function involving math operations, especially in Python, tends to be expensive. Caching and reusing the results is often orders of magnitude faster than recomputing the results each time.

This is the output when run: $ python decorator_test.py Function calculate_squares being called at 2018-08-23 12:39:02.112904 Took 2.5019338130950928 seconds Dealing with parameters ...