List[] in Python needs so much times Machine Jumps and extra cost forMemMangament

[Codingdesigner12]

With Machinery Perspectives

[buran]

What is your question. Also, please, edit the post to include all relevant information in the body, not [only] in the title.

[miajones]

Sets are best suited for union, intersection, and difference operations, as these operations are more effective on sets than on lists. Furthermore, sets are more efficient in terms of memory space, as they do not store duplicate elements, while lists can store many duplicate elements. Therefore, when we look up a particular item from a set, the hash function can help to convert the item into its key using the hash function and then use the key to find the item directly in O(1). This is why the performance of looking up an item in a set is way faster than in a list. When it comes to execution speed, arrays often Link Removed outperform lists in Python, especially for numerical operations. This is due to internal optimizations in array processing, such as the use of fixed data types and contiguous memory allocation, which allow for quicker access and manipulation of elements. As long as the number of elements you have is equal or below this, all list functions should operate correctly.

Gribouillis write Jun-26-2025, 11:41 AM:
Clickbait link removed. Please read What to NOT include in a post

[DeaD_EyE]

With Machinery Perspectives

Yes
What is the problem about this?

If you care about processing speed, then simply don't use Python.

We use Python to reduce development time and because we love the language.