Jul 28, 2017 · In plain Python, not using a third-party extension, a.split() ought to be the fastest way to split your input into a list. The str.split() function only has one job and it is specialized …

Apr 4, 2025 · Use try-except Blocks - Catch and handle errors so your program doesn’t crash unexpectedly. Try ExceptionGroup (Python 3.12+) - Group multiple errors together and handle …

Dec 31, 2023 · In this article, I cover a few simple ways to achieve 1.3x to 970x speedup of Python for loops with minimal effort. I have included code snippets for baseline and improved …

Apr 12, 2023 · In this article, based on my practical experiences, we will examine several of these techniques with comparative examples, illustrating how they can help boost the speed and …

Nov 10, 2023 · List Comprehension: Your code will be drastically faster (~50% faster) than the normal for loop, and shorter as well. It's faster than the for loop because when you use a for …

Here’s a concise guide to techniques that can make your Python code run faster: Before diving into optimization, determine where the bottlenecks are. Use tools like `cProfile` or `timeit` to …

Jul 26, 2019 · When you’re trying to shave seconds—or even minutes—from execution time, it’s good to get a reminder of strategies that might help. The strategies on this list can help you …

Use http://docs.python.org/library/profile.html and check to see where the bottle necks are, see if you can optimise the "fully optimised" program using better coding. If it's already fast enough, …

Jul 5, 2024 · Here are ten easy but powerful tips for faster programs. 1. List Comprehension vs. Loops: Speed Battle. squares.append(num ** 2) This is slow. Instead, use list comprehension: …

Dec 14, 2024 · As a Python developer, I've learned that optimizing code is crucial for creating high-performance applications. In this article, I'll share seven powerful techniques I've used to …