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Fastest way to round random numbers in python

I want to generate random numbers up to certain precision, one at a time (so I am not looking for a vectorized solution). I found a method in this QnA on stackoverflow, and it gave me these benchmarks as promised. The method is definitely is almost twice as fast. Now, here’s what is puzzling me. Why is …

How to fix Clock? For Chess. Python

I’m creating a Chess clock for my chess project. In chess there are time formats 5|5 is where each player (white and black) is granted a general 5 minutes, so when either player makes a move it adds 5 seconds to the clock. So 15|10 is 15 minutes in general and 10 seconds per move. My code: The issues I

Navigate dict based on its structure

I have a python code that interacts with multiple APIs. All of the APIs return some json but each has different structure. Let’s say I’m looking for people’s names in all these jsons: As you can see above the dictionaries from jsons have arbitrary structures. I’d like to define somethi…

How to understand creating leaf tensors in PyTorch?

From PyTorch documentation: But why are e and f leaf Tensors, when they both were also cast from a CPU Tensor, into a Cuda Tensor (an operation)? Is it because Tensor e was cast into Cuda before the in-place operation requires_grad_()? And because f was cast by assignment device=”cuda” rather than…

for loop only for a certain part of an equation in python

I would like to sum a function (in my case f = np.exp(x)) inside of an equation. I’m not sure if I am right to think like that but I think I saw my teacher do something like this once. Any idea how that would work? Here is the code: where f(i) is my equation evaluated for every i in

How to use less memory when finding Deletable Primes?

Edit: 1.there was some confusion on the memory limit. I only have 1MB of memory to work with and there is no time limit. 2.the entry number n specifies the n digits number that is supposed to be checked. if you enter 3 it will check numbers from 100-999 to see if they are Deletable primes or not 3.it was

Sklearn RFE, pipeline and cross validation

I’m trying to figure out how to use RFE for regression problems, and I was reading some tutorials. I found an example on how to use RFECV to automatically select the ideal number of features, and it goes something like: which I find pretty straightforward. However, I was checking how to do the same thin…