I have a Python script which takes as input a list of integers, which I need to work with four integers at a time. Unfortunately, I don’t have control of the input, or I’d have it passed in as a list of four-element tuples. Currently, I’m iterating over it this way:
Thanks to some help from people here, I was able to get my code for Tasmanian camels puzzle working. However, it is horribly slow (I think. I’m not sure because this is my first program in Python). The example run in the bottom of the code takes a long time to be solved in my machine:
I’ve been considering fast poker hand evaluation in Python. It occurred to me that one way to speed the process up would be to represent all the card faces and suits as prime numbers and multiply them together to represent the hands. To whit:
I was playing with python and I realized we don’t need to use ‘+’ operator to concatenate static strings. But it fails if I assign it to a variable.
I am trying to run through a function with my million lines in a datasets.
This is rather the inverse of What can you use Python generator functions for?: python generators, generator expressions, and the itertools module are some of my favorite features of python these days. They’re especially useful when setting up chains of operations to perform on a big pile of data–I often use them when processing DSV files.
What is a good way to split a NumPy array randomly into training and testing/validation dataset? Something similar to the cvpartition or crossvalind functions in Matlab.
Which approach is better? Using a tuple, like: