Difference between various numpy random functions

Question

The numpy.random module defines the following 4 functions that all seem to return a float betweeb [0, 1.0) from the continuous uniform distribution. What (if any) is the differe

Answer 1

Nothing.

They're just aliases to random_sample:

In [660]: np.random.random
Out[660]: 

In [661]: np.random.ranf
Out[661]: 

In [662]: np.random.sample
Out[662]: 

In [663]: np.random.random_sample is np.random.random
Out[663]: True

In [664]: np.random.random_sample is np.random.ranf
Out[664]: True

In [665]: np.random.random_sample is np.random.sample
Out[665]: True