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swc-bb
S
swc-lessons
2020-04-20-Potsdam-Berlin
Python
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d29e9f18
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d29e9f18
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Dec 18, 2019
by
Maxim Belkin
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_episodes/02-numpy.md
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@@ -388,9 +388,9 @@ standard deviation: 4.61383319712
> to see a list of all functions and attributes that you can use. After selecting one, you
> can also add a question mark (e.g. `numpy.cumprod?`), and IPython will return an
> explanation of the method! This is the same as doing `help(numpy.cumprod)`.
> Similarly, if you are using the "plain vanilla" Python interpreter, you can type `numpy.`
> and press the <kbd>Tab</kbd> key twice for a listing of what is available. You can then use the
> `help()` function to see an explanation of the function you're interested in,
> Similarly, if you are using the "plain vanilla" Python interpreter, you can type `numpy.`
> and press the <kbd>Tab</kbd> key twice for a listing of what is available. You can then use the
> `help()` function to see an explanation of the function you're interested in,
> for example: `help(numpy.cumprod)`.
{: .callout}
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