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

[@natnaelsisay1424]

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

[@alisonhenley2551]

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

[@kasturibasu8653]

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

[@kasturibasu8653]

Oh and python implementation of them as well 🤩 Please?

[@adisonfryman144]

I agree!

[@pythonixed4448]

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

[@mohamedpedrou2898]

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

[@PythonSimplified]

Yey!!! Super happy to help, enjoy! :)

[@Sinke_100]

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

[@fridmamedov270]

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

[@swetarani8375]

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... ❤

[@dyg6945]

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.

[@undeadpresident]

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.

[@TRUESTORIES-YT]

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

[@requirementsrequired8822]

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

[@Jocjabes]

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

[@DiegoLopez-nj3pb]

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

[@human7863]

Great videos ! 👍 welcome from Egypt 🇪🇬

[@paulinaghisonimergudich6876]

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

[@rahulkmail]

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

[@MyPython_]

You are awesome. Informative videos. Thanks Mariya

[@acantun]

Perfect explanation and thanks for sharing the graphics.

[@helihobby]

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

[@eizou.inkomika]

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

[@Tobs_]

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

[@iskandarabbas7896]

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

[@DanielHernandez-hl8tn]

5:24 wonderful plot twist. 10/10 IGN

[@EmaMazzi76]

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

[@Nervosa80]

Thank you, Maria!

[@bibhakardas5761]

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

[@horus4862]

Thanks!

[@furkanozata6775]

You are awesome. Thanks.

[@Sinke_100]

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')

[@jesusmysavior7843]

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

[@PythonSimplified]

It will take me some time to get there but it's definitely an option! 😉 I learned English when I was at school so I still have lots of notebooks of grammar rules and all kinds of goodies! 😊

[@vasylpavuk391]

@@PythonSimplified o yeah, English grammar is often a problem for me :) :) :)

[@learnenglish699]

@@PythonSimplified can u send us

[@MatthieuKhairallah]

Thanks for your great content!

[@ZurioSi]

Amazing video Maria!

[@MartinEden-ps6ld]

pronounce very understandable, thank you :)

[@Евгений-ф8н2э]

Awesome!

[@PythonSimplified]

благодарю Евгений! 😊

[@carlosvazquez2710]

you''re smart

[@amoorinet..]

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

[@Yoritomo0]

Very, very usefull. Thanks! 😊

[@alirezazarafshani]

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

[@paxdriver]

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

[@jongcheulkim7284]

Thank you.

[@easydatascience2508]

You can watch mine too. The channel provides detailed tutorial playlists for Python and R, with downloadable source files (see description of the video).

[@alexcaruajulca]

thanks for the subtitles

[@nosao2748]

Thank you so much !

[@kennethstephani692]

Great video!

[@Mark4Jesus]

Love your videos!

[@jijie133]

Beautiful, I mean both the teacher and the video.

[@naturalworld5006]

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

[@flioink]

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

[@dipeshrathore8842]

Numerical python! that's what I wanted 😃

[@PythonSimplified]

That's awesome, enjoy!! :)

[@mibrahim4245]

heeeey there :D

[@przemysawgrzymisawski6971]

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?

[@rfpcs1]

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

[@Sinke_100]

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

[@PythonSimplified]

I believe it depends on your computer hardware and operating system, Sinisa 😃 My AlmaLinux laptop also defaults to int32 :)

[@Sinke_100]

@@PythonSimplified os is win 10 in this case now, thanks for info Mariya 👍🏻

[@frenamakenson9844]

very usefull one

[@sumudunethmina669]

You are amezing ❤️👍

[@barunchowdhury87]

For you we grow up

[@diwakar_tsn]

Numpy wow ❤️😍

[@PythonSimplified]

WowPy! 😉

[@aromasd]

Eres genial

[@MinaSaturn]

خانومی چه باکمالاته و قشنگ درس میده

[@cybersecurityexpert477]

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

[@lostsecArmy]

Nic mam I want this toter

[@dominicaguiling1440]

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

[@jackroark6928]

🥑⭐ really good

[@CloudDataEngineerPro]

Plz create some video for pyspark

[@grownupgaming]

GOOD

[@vasylpavuk391]

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

[@vasylpavuk391]

like here: import numpy as np a = np.zeros(9).reshape(3,3) np.fill_diagonal(a,1) print(a)

[@nishithirani6086]

average and mean are two different things :)

[@barunchowdhury87]

❤❤

[@manu-singh]

the background music is as nice as you

[@MrSorinCl]

youre so nice ❤️

[@FedericoBenedetti81]

5:30 pu puffffffffftttttt :)))

[@cybersecurityexpert477]

Please teach Coding with mobile

[@horus4862]

That was fantastic Thank you 🙂

[@InobuZ]

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

[@JaveGeddes]

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

[@sammflynn405]

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

[@martincastello9866]

I think I'm fallen in love with you

[@adisonfryman144]

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.

[@francisnadeau8282]

😈 666

[@James-ss9hi]

beautiful girl give excellent python lectures

[@milikest]

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')