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'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.
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
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! 😊
You can watch mine too. The channel provides detailed tutorial playlists for Python and R, with downloadable source files (see description of the video).
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?
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
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')
![ปฏิเสธไม่ไหว (Crush on you) - LIPTA feat. No One Else [Official MV]](http://i.ytimg.com/vi/NBw1jF342vw/mqdefault.jpg)
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
Thank you for taking the time to make these videos. It has been really helpful and empowering!
Can you please make a whole playlist on object detection algorithms? I love how you explain everything so easily!
Oh and python implementation of them as well 🤩 Please?
I agree!
Thanks for another great video. You descriptions are always so clear and precise.
I really like that u explained np.dot method in 3 different ways 🙂
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.
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... ❤
I personally admire this great channel and this great tutor. I have learnt many things that I got stuck in. Thanks !!!
Your videos are amazing!! Thank you for making them with so much dedication ☺
Great video! I watch them before class all the time!
Have you done the video explaining matrix multiplication yet?
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.
Very nice tutorial, now I understand NumPy much better, thanks a lot!.
Amazing
That's what I was looking for
Thanks so much
Yey!!! Super happy to help, enjoy! :)
Found your vid on converting py to exe and loved your presentation! Subbed your chan to strengthen my skillz.👍
A pickle here. In numpy sort method the axis is -1 for row and 0 for columns from your last video. Consistent, no more.
Great videos ! 👍 welcome from Egypt 🇪🇬
Very nice explanation of the built-in methods of NumPy. Really a great tutorial.
Perfect explanation and thanks for sharing the graphics.
Thank you for this video. Easy to understand Numpy. Very usefull, i think.
Well explanation, easy to follow and learn, very informative.
You are awesome. Informative videos. Thanks Mariya
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 should start a whole online course on Coursera or EdX. You are damn good. ❤
Thanks for your great content!
You are awesome. Thanks.
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')
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) 😄
what i want from you is English Course with support! i will still remind you this ideas !
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! 😊
@@PythonSimplified o yeah, English grammar is often a problem for me :) :) :)
@@PythonSimplified can u send us
Thank you.
You can watch mine too. The channel provides detailed tutorial playlists for Python and R, with downloadable source files (see description of the video).
5:24 wonderful plot twist. 10/10 IGN
Amazing video Maria!
Great video!
Very, very usefull. Thanks! 😊
That was great, but for the next Tutorial, can you cover" pyomo" ?
it's will be great if you cover some optimization problem😍
pronounce very understandable, thank you :)
Thank you so much !
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?
thanks for the subtitles
Awesome!
благодарю Евгений! 😊
Love your videos!
I keep clicking like TH-cam won't acknowledge it.. Wtf.
Great video, thanks for the upload
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
heeeey there :D
you''re smart
So the "ravel" method creates a reference(array) to the original array?
Please tell me when to use (bracket), [square], _ underscore & .dot ... when we code on Python or numpy ?
Numerical python! that's what I wanted 😃
That's awesome, enjoy!! :)
very usefull one
Beautiful, I mean both the teacher and the video.
Eres genial
My default is int32 rather than 64, could be different version of python or numpy, not sure
I believe it depends on your computer hardware and operating system, Sinisa 😃
My AlmaLinux laptop also defaults to int32 :)
@@PythonSimplified os is win 10 in this case now, thanks for info Mariya 👍🏻
I know python basic and advance but not understanding which one is good books or TH-cam tutorial
You are amezing ❤️👍
For you we grow up
Nic mam I want this toter
❤❤
🥑⭐ really good
خانومی چه باکمالاته و قشنگ درس میده
Plz create some video for pyspark
Numpy wow ❤️😍
WowPy! 😉
GOOD
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
average and mean are two different things :)
the background music is as nice as you
So cool video and simple to learn from it. Thank you Maria.
P.S. Probably it's nice to demonstrate also numpy.fill_diagonal
like here:
import numpy as np
a = np.zeros(9).reshape(3,3)
np.fill_diagonal(a,1)
print(a)
You are so beautiful and smart! Thank you for the video
Please teach Coding with mobile
5:30 pu puffffffffftttttt :)))
Man.....having a wife that programs and codes.....and Beautiful.......If Eve coded we would still be in the Garden of Eden......
youre so nice ❤️
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
I think I'm fallen in love with you
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.
😈 666
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')