NumPy Operations - Ultimate Guide to Methods and Functions for Beginners! 

Thank you for taking the time to make these videos. It has been really helpful and empowering!

This numpy video serious is the only video i will send, if some one ask me how to use numpy. You have a great approach for teaching. Thank you

Can you please make a whole playlist on object detection algorithms? I love how you explain everything so easily!

Thanks for another great video. You descriptions are always so clear and precise.

Your videos are amazing!! Thank you for making them with so much dedication ☺

Thank you so much! It's the best, the most informative and the most emotional tutorial with excellent English pronunciation what I have watched before! You are the Best! Thanks.

I personally admire this great channel and this great tutor. I have learnt many things that I got stuck in. Thanks !!!

Great video! I watch them before class all the time! Have you done the video explaining matrix multiplication yet?

This is by far the best video i have found on numpy arrays basics n related operations... it's a very interesting and thorough video... ❤

Found your vid on converting py to exe and loved your presentation! Subbed your chan to strengthen my skillz.👍

Amazing That's what I was looking for Thanks so much

I really like that u explained np.dot method in 3 different ways 🙂

Very nice tutorial, now I understand NumPy much better, thanks a lot!.

I've been using this and found that the numpy operations are very handy. And on the subject of C, I've learned that it's not too difficult to pass pointers to the arrays into C functions using the ctypes module and operate on them directly in C, which is very fast indeed. I've found that while the mass operations in the numpy module are fast and convenient, that the iterations through them in Python are actually slower than through a list. But pass them to a C function and it's several times faster.

Great videos ! 👍 welcome from Egypt 🇪🇬

Very nice explanation of the built-in methods of NumPy. Really a great tutorial.

You are awesome. Informative videos. Thanks Mariya

Thank you for this video. Easy to understand Numpy. Very usefull, i think.

Perfect explanation and thanks for sharing the graphics.

Well explanation, easy to follow and learn, very informative.

A pickle here. In numpy sort method the axis is -1 for row and 0 for columns from your last video. Consistent, no more.

Thank you, Maria!

Thank You MARIYA, because last time i make the SMARTHome about behaviour using C4.5 Algorithm and FUZZY Entrophy base ANDROID 👍🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥 about numpy or numeric pyhton

You are awesome. Thanks.

5:24 wonderful plot twist. 10/10 IGN

Thanks for your great content!

Very, very usefull. Thanks! 😊

Thanks for sharing this video, I will have to watch it in small chunks as my mind is blown 😄

Thank you for the links! (and the video itself too) 😄

heeeey there :D

Amazing video Maria!

Great video!

You should start a whole online course on Coursera or EdX. You are damn good. ❤

Awesome!

pronounce very understandable, thank you :)

Thank you.

Thanks for video. And I have question. You didn't mention about NaN. For me it's clear, but I didn't find and easy way to explain it to students (but INF is understandable for them). Do You have any idea?

That was great, but for the next Tutorial, can you cover" pyomo" ? it's will be great if you cover some optimization problem😍

Thank you so much !

Try this: import PIL.Image as im import numpy as np color = 200,100,255 #try different values 0-255 img = np.full((800,800,3), color, np.uint8) img = im.fromarray(img, 'RGB') img.save('sample.png', 'PNG')

Love your videos!

Please tell me when to use (bracket), [square], _ underscore & .dot ... when we code on Python or numpy ?

thanks for the subtitles

what i want from you is English Course with support! i will still remind you this ideas !

I keep clicking like RU-vid won't acknowledge it.. Wtf. Great video, thanks for the upload

Beautiful, I mean both the teacher and the video.

So the "ravel" method creates a reference(array) to the original array?

you''re smart

very usefull one

Eres genial

Science is the sword that does not miss, ,which you strike whoever you want, increases with a lot of giving and decreases with a lack of giving,additionally in your case increase your beauty

Numerical python! that's what I wanted 😃

🥑⭐ really good

My default is int32 rather than 64, could be different version of python or numpy, not sure

You are amezing ❤️👍

So cool video and simple to learn from it. Thank you Maria. P.S. Probably it's nice to demonstrate also numpy.fill_diagonal

I know python basic and advance but not understanding which one is good books or RU-vid tutorial

❤❤

I can't get numpy to run on my Visual Code. I tried pip install , search nothing works got any ideas ? it works on python idle just fine

خانومی چه باکمالاته و قشنگ درس میده

Numpy wow ❤️😍

You are so beautiful and smart! Thank you for the video

GOOD

For you we grow up

Nic mam I want this toter

Plz create some video for pyspark

youre so nice ❤️

5:30 pu puffffffffftttttt :)))

is it just me or the sound is only on the right side

Apparently my math is so bad I was lost from the beginning.. public School failed me

Man.....having a wife that programs and codes.....and Beautiful.......If Eve coded we would still be in the Garden of Eden......

average and mean are two different things :)

the background music is as nice as you

Please teach Coding with mobile

I think I'm fallen in love with you

😈 666

I would really like to know why people use NumPy, I cant find any useful tutorials on how it is used in data science projects or other fields.

beautiful girl give excellent python lectures

That was fantastic Thank you 🙂

Thanks!

Biyuuuutifyullll arrays, variables, functions by Maria. I wish I could write a function to a paper and throw it under her door. def date_offer(): print('Would you like to have a coffee with me?') offer = input('What do you say?') if offer == 'No': print('Or we could go to a karaoke bar') offer = input('What do you say?') if offer == 'No': print('How about we go to a luna-park and try to punch boxing machines?') offer = input('What do you say?') if offer == 'Yes': print('Great. I will take lots of selfies with you') else: while offer == 'No': print('We should do', random_activity) print('Great. I will take lots of selfies with you') else: print('Great. I will take lots of selfies with you') else: print('Great. I will take lots of selfies with you')