NumPy vs SciPy

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NumPy and SciPy are two Python libraries that on the surface, appear to overlap significantly, but there's a reason: SciPy is actually built on top of NumPy. So where does SciPy add functionality beyond NumPy? In this video, Martin Keen explains how SciPy enhances NumPy by adding further functionality for more complex mathematical and scientific computing tasks. With this side-by-side comparison, you can intelligently pick the best for your application.

#python #scipy #numpy
  1. IBM Technology
  2. IBM
  3. IBM Cloud
  4. python
  5. numpy
  6. scipy
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Комментарии
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thank you for this beautiful presentation. Can you please tell me the name of the product on which you were writing? I know its out of the box question but i am just qurious. Thank you.

omorkhan
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It was an absolute bliss to watch this video!

kamehameha
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These IBM videos are awesome, but I'm always left with the question... are they writing backwards? My thought is that maybe the whole video is flipped horizontally in post and the text is just backwards as its captured... lol! Anyway thanks.

curtisroggi
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can both of them take the advantage of GPU calculations?

chenwu
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how is this video recorded ?? Shooting it from the front with everything being displayed as he is writing in air ??

harshagarwal
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why need Julia, why to build on scipy not to create new syntax of new programming language?

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