NumPy Tutorial : Numpy Full Course

Hi Derek, I’m back at your videos after I learnt Perl from one of your other videos and your videos are fantastic as usual.
I need some advice: as a beginner to machine learning trying to move in the direction of deep learning/image processing, which videos in this tutorial would be vital and which ones can I potentially skip?

You made an error.
If you have “import numpy as np”, you create random array by “np.random.randint(10, size=5)”.

But if you have “from numpy import random”, you create random array by “random.randint(10, size=5)”.

The Best 😊

However, the example is quite simple, you can use a pen to write, it will create lessons faster than using slides.

Straight up disrespecting conda by only using it to install pip.

One part of this tutorial that confused me was the "view" vs "copy" function. I tested and googled it myself, and I believe his explanation is incorrect. He says that when he sets cp_arr2=cp_arr1.view(), then applies the flatten function to cp_arr2, the original array cp_arr1 does change because the change didn't affect the original object, just the view. This is incorrect. The reason it didn't change was because he created and printed a flattened version of cp_arr1, but did not save that updated version to the variable name cp_arr1. If instead, he write cp_arr1=cp_arr1.flatten() instead of just cp_arr1.flatten(), you would see that the original array cp_arr1 has indeed been changed because creating a view of an object is like creating another pointer to the same object.

Why do you need to import random from numpy if you're already importing numpy?

Thank you 😊, I wish you all the best

Done with this , now moving to pandas tutorial . Hope that would be just as great as this one

Hi, i doing a program which does convert numpy to video, using opencv in, but the video shows nothing...can you help me ?

This tutorial is just awesome waiting for scipy hope we get soon

Can we get scipy as this

I did not import random mule and i still could use it.

please make video with more zoom.

Awesome video, thank you so much!

Hey Derek! Any Chance these Data Science Playlist is gonna continue? As you are awesome :)

Not sure why my school teaches matlab and not this

You are again . ❤️ . ❤️

"Let's say " is not explaining . Please explain what is happening in the syntax in a more general sense so that we won't have to follow each function with the same syntax. This was very hard to follow because it's very easy to forget what is being said.
It was quite helpful though.

Most extensive and well designed tutorial. Thanks

heard a lot about numpy, this is so useful

Hey Derek, as always great video.

Just wanted to point out, for copying the array, .view() didnt work for me. I had to use .copy().

One of the best tutorials on Numpy! Thank you for the brief and concise lecture. Looking forward to seeing more videos from you.

This was an amazing tutorial for Numpy library,I am really thankful to you,I learnt lots of things.Thanks for teaching.This is the actual best course about Numpy.

Such a Nice tutorials, In an hour now i have mastered the NumPy, But derek your voice is too heavy.

hehehe you are like a programmer's enciclopedia mate, by the way do you happen to know a book or do you have a video about how to program my own webhook? I want to program the webhook by my own, I don't really want to use Discord or anything like it, thanks for your help as always, it should be something not that hard but for some reason there are no much out there.

Awesome!👌 Pls make a series in web scraping using BeautifulSoup and Scrapy.
Looking forward for all ML related stuffs.👍

I have been waiting for a series on this from @Derek Banas for more than a year now as he is literally the best introductory teacher. Would be great if we can get something on Linear Algebra and Calculus as well

Derek Banas, you are my superhero!! SMASHING the LIKE Button!!!!

Hi Derek, can you do a detailed course on data structures and algorithm in C++? Thanks

I'm so happy you cover ML/Python topics now, this will be very helpful for my bachelor thesis. 😊

It's hard understand the help topics (even though it is resourceful).

Can you also do tutorials on how to use Python Libraries (even popular 3rd parties)?

great tutorial on NumPy. absolutely helpful and understandable. Thanks Derek

Hi Derek, I always find your videos are helpful to learn any concept. Recently started working on Data science, now these videos are going to boost my learning to next level.

Whoa. video watching in two hours . Long Video.. tired.. Zzz...

i dont want to sound wierd but i am in love with your brain. i wish i had your kind of aptitude. My dear brother, my man ,are you a god ?

You're better than my university professors Derek!
Thanks for taking lot of efforts and sharing knowledge ☺️

Keep it up bro 💪. You really hold vast knowledge on programming and it is good that you are sharing it with all .

so much effort derek , thanks alot :))