Let me demonstrate with a simple example, take a look at the following code snippets:
You might think that I have assigned an alias to len function and that may not matter.
So I wrote a performance test function like this.
I encourage you to try this on your systems.
Here is my conclusion about running the performance.py script.
Ok, now let's try to analyze why this happened. Cause? Finding a function is an expensive operation.
In the second snippet, I have stored the function directly in the scope of the function, so it doesn't matter how many times I call it, every time the runtime knows exactly where it should look for the results.
If you've been to codeforces, you already know that a lot of programming problems involve backtracking. So, today I am going to tell you about a library for generating all permutations and combinations using the built-in library package, which is extremely fast. Itertools. If you want to solve algorithmic problems with Python, then itertools — this is a library you should definitely learn.
To generate all permutations —
Combination () functions behave similarly. I encourage readers to try it out for themselves.
Python is a slow language only if your code is not leveraging the power of it successfully. Do not feel like you are at a disadvantage if you're a python coder, it's actually very neat and very quick!
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