Hello community. I have an idea to share with the list to see what you all
think about it.
I happen to use both Python for Data Science (with our regular friends
NumPy and Pandas) as well as for scripting and backend development. Every
time I'm working in server-side Python (not the PyData stack), I find
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:
For lists and tuples:
>>> l = ['a', 'b', 'c']
>>> l[[0, -1]]
['a', 'c']
For dictionaries it'd even be more useful:
d = {
'first_name': 'Frances',
'last_name': 'Allen',
'email': 'fal...@ibm.com'
}
fname, lname = d[['first_name', 'last_name']]
I really like the syntax of boolean arrays too, but considering we have
list comprehensions, seems a little more difficult to sell.
I'd love to see if this is something people would support, and see if
there's room to submit a PEP.
--
Santiago Basulto.-
Up!
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