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When you run a script with PyPy, it does a lot of things to make your code run faster. If the script is too small, then the overhead will cause your script would run slower than in CPython. On the other hand, if you have a long-running script, then that overhead can pay significant performance dividends.
To answer your last question first, if you have a problem with performance, then it's worth it. That's the only criterion, really. As for how: If your algorithm is slow because it's computationally expensive, consider rewriting it as a C extension, or use Cython, which will let you write fast extensions in a Python-esque language.
- Use list comprehensions. When you’re working in Python, loops are common. You’ve probably come across list comprehensions before. They’re a concise and speedy way to create new lists.
- Remember the built-In functions. Python comes with a lot of batteries included. You can write high-quality, efficient code, but it’s hard to beat the underlying libraries.
- Use xrange() instead of range(). Python 2 used the functions range() and xrange() to iterate over loops. The first of these functions stored all the numbers in the range in memory and got linearly large as the range did.
- Consider writing your own generator. The previous tip hints at a general pattern for optimization—namely, that it’s better to use generators where possible.
Oct 28, 2022 · Python’s built-in functions are one of the best ways to speed up your code. You must use built-in python functions whenever needed. These built-in functions are well tested and optimized. The reason these built-in functions are fast is that python’s built-in functions, such as min, max, all, map, etc., are implemented in the C language.
Jul 15, 2024 · Use the built-in Python debugger (pdb): The built-in Python debugger is a powerful tool that allows you to step through your code line by line, examine variables, and set breakpoints. Use print statements : Adding print statements to your code can help you identify the source of the problem by providing a clear picture of the program’s execution flow and variable values.
Dec 26, 2023 · The truth is, Python is fast if you can write it in a Pythonic way. The devil is in the details. Experienced Python developers are armed with an arsenal of subtle yet powerful tricks to ...
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Nov 10, 2023 · For me, writting code is not just putting sloppy working pieces together and then call it a day. I want to learn more about how to write faster, cleaner and simpler code. Because of this, I've been looking around for ways to increase my Python code's performanc ewithout sacrificing its readability. Let me show you the way of the force! 1.
