You can help to ensure benchmark results are reliable, stable, and useful by following benchmarking best practices. This includes isolating the …
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Tutorials
Tips When Presenting Benchmark Results
You can carefully choose the level of precision and units of measure when presenting benchmark results. These are the two main areas when …
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Python Benchmark Unit Test
You can develop a benchmark unit test by defining a unit test that calculates the execution time of a target function and asserts that it is below a …
Importance of Python Execution Time Performance Benchmarking
Benchmarking the execution time is required to improve the performance of code. Code performance is a critical aspect of modern software …
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Repeat Benchmarks to Get Stable Results
You can improve the benchmark estimate by repeating a benchmark many times and reporting the average score. Each time a benchmark is performed, a …
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Python Multiprocessing: The Complete Guide
Python Multiprocessing provides parallelism in Python with processes. The multiprocessing API uses process-based concurrency and is the preferred …
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