How to use Python decorators to check function arguments?
I would like to define some generic decorators to check arguments before calling some functions.
I would like to define some generic decorators to check arguments before calling some functions.
I’m having problems reading from a file, processing its string and saving to an UTF-8 File.
What is best pure Python implementation to check if a string contains ANY letters from the alphabet?
When trying to run the asyncio hello world code example given in the docs:
I am trying to predict weekly sales using ARMA ARIMA models. I could not find a function for tuning the order(p,d,q) in statsmodels. Currently R has a function forecast::auto.arima() which will tune the (p,d,q) parameters.
I try to convert matlab code to numpy and figured out that numpy has a different result with the std function.
What I’m trying to do would look like this in the command line:
I am currently developing a text classification tool using Keras. It works (it works fine and I got up to 98.7 validation accuracy) but I can’t wrap my head around about how exactly 1D-convolution layer works with text data.
There seems to be a lot of heated discussion on the net about the changes to the reduce() function in python 3.0 and how it should be removed. I am having a little difficulty understanding why this is the case; I find it quite reasonable to use it in a variety of cases. If the contempt was simply subjective, I cannot imagine that such a large number of people would care about it.
Suppose I have a list of tuples and I want to convert to multiple lists.