Intro to Python Performance | Python Under the Hood

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The first episode in a series where I explain what's going on behind the scenes of your python code.

This series is intended for those who use Python in a field outside of computer science, and don't necessarily have the background knowledge that other programmers might have. The objective is to give context around the language in order to help you make the best decisions possible, and overcome many common performance issues.
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No. There is no such thing as an interpreted or compiled language. Whether you choose to use or create a compiler, interpreter, or a special hybrid called a just-in-time compiler (JIT, runs interpreted then in realtime, the most common functions can be compiled to machine code). If you want python code (the structure between the instructions) then you can use PyPy which is a JIT, runs some as sorts of code 100s of times faster, or more.

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This is a great series super helpful for me

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