First of all, try to clean-up. Thanks. This is untested so may be little more than idle speculation, but you can reduce the number of dictionary lookups (and much more importantly) eliminate half of the comparisons by building the dict into a list and only comparing remaining items in the list. The alternative to this is appending or pushing. Making statements based on opinion; back them up with references or personal experience. The dumber your Python code, the slower it gets. What shares do you buy to maximize your profit? Its $5 a month, giving you unlimited access to thousands of Python guides and Data science articles. The 1-line for loop is a classic example of a syntax hack we should all be taking advantage of. 4. What it is is implementations into Python of popular, and fast, algorithms for dealing with data that can be worked with to get things done using less Python. Which "href" value should I use for JavaScript links, "#" or "javascript:void(0)"? How about saving the world? We can also add arithmetic to this, which makes it perfect for this implementation. Python Nested Loops - W3School At the end of this article, I am going to compare all of the times in this application to measure which option might be the best. Connect and share knowledge within a single location that is structured and easy to search. Thank you very much for reading my article! Lets make the code more optimised and replace the inner for loop with a built-in map() function: The execution time of this code is 102 seconds, being 78 seconds off the straightforward implementations score. @Rogalski is right, you definitely need to rethink the algorithm (at least try to). Are there any canonical examples of the Prime Directive being broken that aren't shown on screen? Moreover, the experiment shows that recursion does not even provide a performance advantage over a NumPy-based solver with the outer for loop. No solution is better than another in all applications, I think that there is strength to each one of these different tools. Computer nerd, Science and Journalism fanatic.

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