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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.
Azure Functions, Microsoft's take on cloud-hosted, serverless, event-driven computing, now officially supports the Python programming language. The general availability of Python support follows a ...
Dot Physics on MSN11d
Building a Standard Deviation Function in Web VPython
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...
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