Hi Charles
On Wed, Jan 23, 2008 at 09:34:44AM -0700, Charles R Harris wrote:
2. How do we specify default values?
I like to put them first in the list: {-1, integer}
When exactly is this list used? That should be made clear in the
standard as well.
3. Why do we need the optional
Hi,
When would the function signature be missing? In C functions we copy
the signature into the docstring. I am concerned about duplicating
information that may change.
I guess that would be
def my_func(*args, **kwargs):
although, if you're going to document the parameters in detail for
Also,
Perhaps we could have that discussion on the IRC channel on Friday at
some specified time?
I suppose it's possible to hack up some processor of the form:
doc_me('my_file.py')
that can introspect things like argument lists, add boilerplate and
process the resulting text according to the
Stefan van der Walt wrote:
Hi Charles
On Wed, Jan 23, 2008 at 09:34:44AM -0700, Charles R Harris wrote:
2. How do we specify default values?
I like to put them first in the list: {-1, integer}
When exactly is this list used? That should be made clear in the
standard as well.
No
Hi Robert
On Thu, Jan 24, 2008 at 01:15:13PM -0600, Robert Kern wrote:
5. Is the {'hi', 'ho'} syntax used when a parameter can only assume a
limited number of values? In Python {} is a dictionary, so why not
use ('hi','ho') instead?
Either would be fine. IIRC, the {}
On Jan 24, 2008 1:53 PM, Stefan van der Walt [EMAIL PROTECTED] wrote:
Hi Robert
On Thu, Jan 24, 2008 at 01:15:13PM -0600, Robert Kern wrote:
5. Is the {'hi', 'ho'} syntax used when a parameter can only
assume a
limited number of values? In Python {} is a dictionary, so why
Hi all,
The numpy documentation standard example shows:
Parameters
--
var1 : array_like
Array_like means all those objects -- lists, nested lists, etc. --
that can be converted to an array.
var2 : integer
Write out the full type
On Jan 23, 2008 6:55 AM, Stefan van der Walt [EMAIL PROTECTED] wrote:
Hi all,
The numpy documentation standard example shows:
Parameters
--
var1 : array_like
Array_like means all those objects -- lists, nested lists, etc. --
that can be converted to an
