Learn NUMPY in 5 minutes - BEST Python Library!

Learn Numpy in 5 minutes! A brief introduction to the great python library - Numpy. I cover Numpy Arrays and slicing amongst other topics.

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[rohitborra]

may be we should appreciate him for his creative thinking to teach numpy in 5 min although took around 13 minutes

[MrNicePotato]

Imagine if someone is falling from a failed plane without a parachute and have just 5 minutes of time to learn about how to use numpy to find out the optimal landing posture to maximize likelihood of survival, and he found this video teaching numpy in 5 minutes, when he found out the tutorial is actually longer than 5 minutes midway into the video, he would be like "damn it!"

[doncherf]

If you total the time spent on interruptions, introductions, and conclusions, you get 8:37 leaving exactly 5 minutes of useful information on Numpy.

[calmniverse]

How many of you found it annoying when he interrupted?? although nice video

[jnorris]

It'd be even faster if you didn't have to say, "Fahstah", every 20 seconds...

[deepakmecheri]

Why is everyone complaining about the interruptions. The guy was making the video lighter and enjoyable. Very concise tutorial indeed

[windar]

if you use these interruptions, you should use it more strategically. for example between 2 topics, so the viewer can build up a new focus.
but because of your random interruptions, i was distracted because i expected every second a new interruption.

[BigOleHeals]

great video for learning but kind of annoying how he keeps cutting away and saying numpy, numpy numpy

[fractal_]

There is a mistake in the video about the two-dimensional array. When creating a two-dimensional array, you typed:
b_list = [[9, 8, 7, 6, 5, 4, 3], [1, 2, 3, 4, 5, 6, 7]]
z = np.array([b_list])

However, there should be no "[ ]" in the second line, while it should be z = np.array(b_list)
With your code, z is a three-dimensional numpy array instead of a two-dimensional one.

[ShalabhBhatnagar-vnhe]

Thanks Giles! What I could not learn in 2 years, thanks to you I learnt them in 5 minutes (13 actually). Amazing!

[savager]

I liked the funny interruptions, but maybe there was too many of them. Great video btw, love learning from you!

[tumi]

hahahahaha! I do this to my nephew whenever he doesn't want to eat, " one more spoon, one more spoon" makes a whole bowl, great job

[hankblack]

Really liked the use of photos. Made it more interesting a your typical numpy tutorial. Thanks!

[maxim_mahadeva]

guys it's actually nearly 5 minutes, just watch at speed x2 it's the speed at which he actually spoke, he just slowed it down for us. ;D

[samelaaraujo]

Love the cutting and the fact you lied. I only realized after the first 4 minutes, but I was hooked. Good job, and thank you.

[ahmadyoussef]

i don't care if it is not 5 min, this is freakn amazing, i love it, it is fun and educational with more interaction that keeps you engaged, just amazing

[guilhermeassiste]

Please do one of these on Pandas and Matplotlib!!
Great channel btw.

[mikebrown]

That's 13 minutes of my life that I DON'T want back. Thanks. Brilliant idea using a photo image.

[JokerFromTDK]

Video Ruined by Interruptions. Next time while showing something worth learning make sure its continuous without Interruptions.

[yomolandia]

actually those interruptions were quite helpful for me. they kept me from losing attention and falling half asleep