Hi all,
So one of the things exposed in the numpy namespace are objects called
np.int
np.float
np.bool
etc.
These are commonly used -- in fact, just yesterday on another project
I saw a senior person reviewing a pull request instruct a more junior
person that they should use np.float
Hi All,
I plan on branching 1.10 this next weekend and the `__numpy_ufunc__` work
will be pushed off to 1.11.
One of the things we discussed at SciPy 2015 was the need for a faster
release cycle. If we are going to manage that we need to start planning now
by picking a release manager, listing
Hi folks,
The moderator for the ML approved my subscription so I can now post
this back in the numpy list rather than scipy. Apologies for the
duplicate/cross posting.
I was trying to figure out how to make a dtype for a c-struct on the
c-side and storing that in some boost python libraries
Is there an explanation somewhere of what different basic dtypes mean,
across platforms and python versions?
np.bool8
type 'numpy.bool_'
np.bool_
type 'numpy.bool_'
bool
type 'bool'
Are there any rules and recommendations or is it all folks lore?
I'm asking because my intuition picked up
i am interested but i dont know how start. can you help me about this ???
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