On 19/03/2020 13:00, Peter J. Holzer wrote:
On 2020-03-19 18:22:34 +1300, DL Neil via Python-list wrote:
On 19/03/20 3:28 PM, Santiago Basulto wrote:
myself missing A LOT features from NumPy, like fancy indexing or
boolean arrays.
So, has it ever been considered to bake into Python's builtin list and
dictionary types functionality inspired by NumPy? I think multi indexing
alone would be huge addition. A few examples:
[snip]>> I fear that I'm missing your point.
How is
l[[0, -1]] or fname, lname = d[['first_name', 'last_name']]
any better than
l[ 0 ], l[ -1 ] or
fname = d[ 'first_name' ]
lname = d[ 'last_name' ]
It's more compact, especially, if "d" isn't a one-character variable,
but an expression:
fname, lname = db[people].employee.object.get(pk=1234)[['first_name',
'last_name']]
vs.
fname = db[people].employee.object.get(pk=1234)['first_name']
lname = db[people].employee.object.get(pk=1234)['last_name']
I have to say I don't think that's more compact at all. It's too wide
to be compact. I think the second version is more readable (and the
third version, where you factored out the common lookup is better still).
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Rhodri James *-* Kynesim Ltd
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