Get a 4x speed-up with 3 lines of code!Python is a great programming language for crunching data and automating repetitive tasks. Got a few gigs of web server logs to process or a million images that need resizing? No problem! You can almost always find a helpful Python library that makes the job easy.But while Python makes coding fun, it's not always the quickest to run. By default, Python programs execute as a single process using a single CPU. If you have a computer made in the last decade, there's a good chance it has 4 (or more) CPU cores. That means that 75% or more of your computer's power is sitting there nearly idle while you are waiting for your program to finish running!Let's learn how to take advantage of the full processing power of your computer by running Python functions in parallel. Thanks to Python's concurrent.futures module, it only takes 3 lines of code to turn a normal program into one that can process data in parallel.The Normal ApproachLet's say we have a folder full of photos and we want to create thumbnails of each photo.


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