Numpy Universal Functions - Numpy For Machine Learning 3

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In this video we'll look at some of the popular Universal Functions that come with Numpy.

Universal Functions, or uFuncs, allow you to quickly do things to the elements of your Numpy Array.

We'll look at square root, absolute value, exponentials, min/max, signs, and some trig functions.

I'll also show you where the master list of all Numpy Universal Functions is in case you want to see them all.

#numpy #codemy #JohnElder

Timecodes

0:00 - Introduction
1:03 - Create a Numpy Array
1:30 - Numpy Square Root
2:25 - Numpy Absolute Value
3:19 - Numpy Exponentials
3:38 - Numpy Min/Max
4:09 - Numpy Sign Postitive/Negative
4:44 - Numpy Sin Cos Log
5:40 - Numpy Universal Functions Docs
7:27 - Conclusion

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Codemycom

you're a legend sir, been learning a lot form you , a big thanks to you

programmer-zx

thanks for the lesson, I think you should give a bit more to this np.exp() as for the beginner, the output does not make sense. It is actually doing something like exp(x) = e^x where e= 2.718281(approx) :)

tasticfan