Thanks to all for the prompt replies. I look forward to trying both
approaches.
I wasn't aware that subpackages such as numpy.random and such could be imported
after numpy was imported at the top level. For some reason I thought it would
cause confusion.
The functools.reduce and class ap
Peter Otten <__pete...@web.de> schrieb am Mi., 17. Mai 2017 um 09:31 Uhr:
> jeanbigbo...@gmail.com wrote:
>
> > I am trying to write some recursive code to explore the methods, classes,
> > functions, builtins, etc. of a package all the way down the hierarchy.
>
> > 2) I ultimately need to create
On Wed, 17 May 2017 05:14 pm, Terry Reedy wrote:
> On 5/17/2017 2:04 AM, jeanbigbo...@gmail.com wrote:
>
>> Question: Is there a solution to this "turn a string into the module it
>> represents" problem?
>
> Built-in function __import__
Like all dunders, __import__ is intended for the interpre
jeanbigbo...@gmail.com wrote:
> I am trying to write some recursive code to explore the methods, classes,
> functions, builtins, etc. of a package all the way down the hierarchy.
>
> 1) Preliminaries
> In [2]: def explore_pkg(pkg):
>...: return dir(pkg)
>...:
>
> In [3]: import numpy
On 5/17/2017 2:04 AM, jeanbigbo...@gmail.com wrote:
Question: Is there a solution to this "turn a string into the module it
represents" problem?
Built-in function __import__
--
Terry Jan Reedy
--
https://mail.python.org/mailman/listinfo/python-list
I am trying to write some recursive code to explore the methods, classes,
functions, builtins, etc. of a package all the way down the hierarchy.
1) Preliminaries
In [2]: def explore_pkg(pkg):
...: return dir(pkg)
...:
In [3]: import numpy as np
In [4]: l2 = explore_pkg(np.random)
