You can profile slow Python programs to discover functions that occupy most of the runtime and functions that are called disproportionately more than …
Tutorials
Benchmark Fastest Way To Calculate Sum of NumPy Arrays
You can benchmark functions and algorithms to calculate the sum of NumPy arrays to discover the fastest approaches to use. Generally, it is …
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Benchmark Fastest Mean of NumPy Array
You can benchmark functions and algorithms to calculate the mean or average of NumPy arrays to discover the fastest approaches to use. Generally, …
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Benchmark Asyncio with loop.time()
You can benchmark asyncio programs using the loop.time() method on the asyncio event loop. The asyncio event loop maintains an internal monotonic …
Benchmark Python With benchmarkit
You can use the benchmarkit library to keep track of the performance of functions over time. In this tutorial, you will discover how to use the …
How to Profile Asyncio With line_profiler
You can profile target functions and coroutines in asyncio programs using the line_profiler module. The line_profiler module is a third-party …
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