Nuacht
Take advantage of caching and the lru_cache decorator to relieve your Python functions from repetitive heavy lifting.
In the example above, the calculate_squares function didn’t need any parameters, but what if we wanted to make our log_performance decorator work with any function that takes any parameters?
Take advantage of the high-level async functions in Python’s asyncio library to write more efficient Python applications.
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.
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Learn the Basics of Python in 1 Hour With These 13 Steps - MSN
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Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.
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