Understanding inplace=True in pandas
In the pandas library many times there is an option to change the object inplace such as with the following statement…
in-place
Pandas: peculiar performance drop for inplace rename after dropna
I have reported this as an issue on pandas issues.
In the meanwhile I post this here hoping to save others time, in case they encounter similar issues.
Numpy modify array in place?
I have the following code which is attempting to normalize the values of an m x n array (It will be used as input to a neural network, where m is the number of training examples and n is the number of features).
Python Math – TypeError: ‘NoneType’ object is not subscriptable
I’m making a small program for math (no particular reason, just kind of wanted to) and I ran into the error “TypeError: ‘NoneType’ object is not subscriptable.