Tutorials

Benchmark timeit Command Line Interface

You can benchmark snippets of Python code on the command line by using the timeit module. In this tutorial, you will discover how to use the timeit …

You can benchmark snippets of Python code using the timeit.timeit() function. In this tutorial, you will discover how to benchmark Python code …

NumPy can be so much faster with the careful use of concurrency. This includes built-in multithreaded algorithms via BLAS threads, the use of …

You can share NumPy arrays between processes using a multiprocessing Pipe. A Pipe is a data structure for inter-process communication that connects …

You can use the time.time() function to access the system clock and the time.perf_counter() to benchmark Python code. The time.time() function …

You can benchmark the execution of Python code using the "time" module in the standard library. In this tutorial, you will discover how to time the …