NumPy vs Pandas

Wow cool

Excellent delivery

What do you mean vs, panda depends on Numpy

I wonder how many pink floyd puns he managed to squeeze in

Comfortably NumPy with the Pink Floyd references

This is undoubtedly the most entertaining and educational video I've encountered on such a complex subject. It cleverly incorporates dad jokes and Pink Floyd references within the initial 60 seconds. I'm absolutely enamoured by it!

Does he have to write everything backwards?

Well done! Thanks a lot.

Ugh, I don't know what's worse... his 789 and comfortably numbpy jokes, or that I found it to be funny. I hate myself.

My guy writes better backwards than I do forwards 😅

I love Numpy and Pandas. And WOW, for some time we have CUPY (it´s Numpy for GPU, much faster) and POLARS, which is also much faster than Pandas. Try these out!!!

This guy is surely a Pink Floyd fan

Data science is great and all but have you ever considered home brewing? ;)

Do a triangle test to see if users can tell the difference 😂 sorry, overlapping interests I guess 😬

This guy speaks English but writes doctor.

I wouldn't mind watching a similar video on seaborn vs matplotlib vs plotly. I find it difficult to choose one of these libraries as my primary goto library. Using all of them is complicated because the syntax and use varies.

I'm a daily user of Pandas, but do use Numpy expressly for subroutines to manipulate data to a format I need, as necessary. I find it rare that I will use Numpy on its own.

This is way too in touch to be produced by a company

Good explanation. Sloppy handwriting, though.

I abandoned PANDAS because it was slow. I wrote my own task specific functions from scratch. But with cython as you have said here, I might have second look.

I was waiting for a home brew recipe 😂

Pandas was written by people who are very deeply concerned with job security.

amazing explanation! Pls continue to bring such more videos

Haskell is better!!!!!!

You may not know Polars outperform Pandas, and Peaks prepares to outperform Polars.

julia vs jax please!

Sir, could you please make a video on understanding YOLO architecture and its various versions or start a playlist on deep learning

Came for the python chat, stayed for the Pink Floyd references

The reason 789 was because needed to eat a 3 squared meal

Not very much python libraries related, but I was already thinking Jeff’s videos had R. References, especially Dogs of war (even though that’s from Gilmore I believe…) but now I’m sure there’s Pink Floyd references everywhere :)

please do a video on sklearn, tensorflow, pytorch please!!!!!!! <3 maybe a longer one with little sarcasms and jokes like you do <3

I like this teacher as he explain things very clearly

Thank You And We Need More Like This!

Sir, how did you write on the screen? How have you positioned yourself while writing on the screen? Seems like you are a leftie but writing direction appears to be right to left ! Great ! Learned a lot. Asked out a curiosity. 😊😊

Me, running straight to my Jupyter Notebook to find out why 789: 🏃🏃🏃

I am coding a trading bot using numpy custom built function for moving average exponential moving average and min max sliding for float arrays. 😊 numpy is faster

Pronounced as PythON or PythUN?

Good explanation
But I want to ask from those who are already related to tech specially ai that which languages are better for an ai developer/researcher instead of python which languages we ought to learn
Java
C++
R
I know python is fundamental and essential
Thanks in advance

This particular IBM presenter is the best!!!

The background of Pandas just change, now is Apache Arrow, but good content by the way.

Thanks for giving us this kind of content, I really love to watch these videos from IBM

Start with numpy! look for the features you are most likely to need and if that answer leads to you to panda………….

Loving the Pink Floyd references, Comfortably NumPy, and Any Colour You Like😁

Julia is pretty fast

Amazing explanation. I’ve been crafting my own peogramming « tools », ignoring the libraries available, but that’s definitely the wrong approach as it makes developing a lot more time consuming :/ I’ll learn numpy and then move to pandas if needed :)

Wish "Pandas 2.0 vs Polars" were here.