I’m trying to make a simple 3D editor/renderer in python, so I’m using numpy. I’m adding one thing to another, and I know I can do this: A = numpy.multiply(A, B, casting='safe') where A is a float64 and B is a int64. That will work fine, but if I try A *= B it spews out this error:

Say I have an array a:

I’m trying to install numpy

I want to make a random array of type numpy.float128s. This is not valid:

np.save() works with a reproducible example but not with my data.
How can I save my numpy array as binary?

I have a simple python code:

Referring to Why is NumPy Fast?, it is said that vectorization can avoid for-loops.

I have a question regarding output dimensions of np.apply_along_axis.

I have been using np.random.random() to generate random numbers but lately I have been seeing this warning message Use a "numpy.random.Generator" here instead of this legacy function.
What is the new way to generate random numbers?

How can I translate this code: