Nov. 15, 2023, 10 a.m. |

InfoWorld Analytics

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being single-threaded. That is, CPython doesn’t use more than one hardware thread at a time.

And while you can use Python’s built-in threading module to speed things up, threading only gives you concurrency, not parallelism. It’s good for running multiple tasks that aren’t CPU-dependent, but does nothing to speed up multiple …

data science hardware implementation language libraries limitations machine learning processing programmer programming programming language python software development speed thread

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