Understanding Branch Prediction Optimizations in Python
I was recently working on a simple Leetcode problem to write a function that returns True if a list of numbers contains a duplicate, and False otherwise. The code that I submitted was so simple that I was sure it must be the fastest solution, but it came back with a ~40th percentile of performance. I looked at one of the faster solutions, and the only difference was an else that I had omitted because the function was returning in the corresponding if, meaning logically the else was not necessary. Benchmarking this code locally, I can see a consistent speed improvement of about 20% with the else in place, but only under certain (random) test cases. See the script below for some test cases that do or do not show this improvement.
Optimizing Python batch process for large CSV files (5M+ rows) to reduce processing time [closed]
Closed yesterday.
Optimizing Python batch process for large CSV files (5M+ rows) to reduce processing time [closed]
Closed yesterday.
Optimizing Python batch process for large CSV files (5M+ rows) to reduce processing time [closed]
Closed yesterday.
Optimizing Python batch process for large CSV files (5M+ rows) to reduce processing time [closed]
Closed yesterday.
Fast static vector implementation in Python
Consider the following two naive implementations of 3D static vectors in Python:
What is the fastest way to read in a large yaml file containing lists of lists?
I have a number of yaml files I need to read in which contain lists of list. Here is a way to make some example data:
General Suggestions for improving my python programm
I recently started going through the problems over at [ProjectEuler](projecteuler.net), and I wrote some code for one of the problems-9- that I think is decent?
Time Limit Exceed on a UVA problem using Python, is this code that inefficiënt?
Just for fun, I’m trying to solve UVA 11078 (Open Credit System).
Does hacker rank evaluate code for speed?
I am practicing on hacker rank on the following question: