Python Concurrency — A Mind-Pleasant Information for Information Professionals | by Dario Radečić | Jul, 2024

Transferring information round will be sluggish. Right here’s how one can squeeze each little bit of efficiency optimization out of Python.

Picture by Matthew Brodeur on Unsplash

Python is commonly criticized for being among the many slowest programming languages. Whereas that declare does maintain some weight, it’s very important to level out that Python is commonly the primary programming language newcomers be taught. Therefore, many of the code is very unoptimized.

However Python does have a few methods up its sleeve. Profiting from concurrent perform execution is stupidly easy to implement, but it may well cut back the runtime of your information pipelines tenfold. As an alternative of hours, it’ll take minutes. All without spending a dime.

At the moment you’ll see how concurrency works in Python, and also you’ll additionally learn to cope with exception dealing with, customized callbacks, and charge limiting. Let’s dig in!

The primary order of enterprise is configuring an information supply. I wished to keep away from one thing proprietary and one thing that will take ages to arrange. JSON Placeholder — a free REST API service — is the proper candidate.

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