@robmulla

Want to follow along with the same dataset and python environment? Big thanks to someone who made a kaggle notebook with this entire tutorial: https://www.kaggle.com/code/lizhecheng/pandas-2-0-1-tutorial/notebook

Just fork the notebook and explore the data with pandas!

@spacephenix9849

This is a masterpiece Rob. A condensed pandas course. Wow. Even regular Data Scientist can refresh their mind or discover tips and tricks they are not used to use such as the query methods. And what I like the most, it all fits within 23 minutes. I would love to have such videos for some of the other commons libs.

@chauhanknight07

This 20 min video is equivalent to 2hrs of other youtube videos...masterpiece:medal-yellow-first-red:

@elu1

This is truly incredible! It's the finest pandas tutorial available on the internet, offering a remarkable balance of breadth and depth.

@NoContextOasis

Brand new to Pandas and this just made my whole life so much easier! I followed along and build an example notebook with notes that I can go back to at anytime. 

Loved how there is no over explaining in this video. The same video made by the wrong person could've been hours long!

@SmadeX2

This is the best video on pandas I’ve seen so far (and I’ve seen dozens). Thank you so much for keeping your explanations short and up to the point!!! Gonna use the video as my top 1 reference resource when I feel stuck!

@sojourner1973

Thank You so much for putting this together Rob, you make it look so easy and it's well explained and very clear. I really appreciate you for sharing this with everyone !

@phamtienthinh1795

It took me 2 hours and 30 minutes to revise pandas, but it's worth it

@clnguye

Jam packed with all the pandas functionality in ~23 mins. It’s fast pace but very well explained. Awesome video!

@jordirosello5128

By far the best Pandas tutorial I've come across! Your clear explanations and engaging style make complex concepts so much easier to grasp. It would be fantastic to see more videos covering other common libraries as well! Your content is truly inspiring and has motivated me to consider a career change into data science. Thank you for sharing your knowledge!

@daudahmad112

This was absolutely LOADED with info. Took me a couple hours to absorb everything. Thank you so much for such a comprehensive guide!

@avonzo

Absolutely a masterpiece of a tutorial this one is! Hope you do more of this kind! Thank you for helping me to get kick started with Pandas!

@syedhaider0916

Not enough half way through and I can tell this video is gold.

@SarthakJaiswalCOFO-Product

22 mins video is actually a summary of a 5 hr tutorial. 
Learning each sec

@LCP7070

This is a game changer to refresh your knowledge before an technical interview

@level10peon

I've been learning Pandas for a couple of years on and off now, and have even used it a little at work, and yet there were still a few things in here I didn't know about. The rolling method in particular is a game changer, I've been manually creating functions to do that and now I can just do it in one line of code (and likely faster than my hacked together functions).

@irfanshaikh262

Thank u very much.
I can now officially announce and recommend this video to my friends as one stop pandas tutorial and solution.
Thanks Rob

@dokkin9549

I love how you present the functionality of Pandas Library, I refreshed my knowledge and gained a better understanding! cheers

@MrOmarMoustafa

that is a very beautiful and highly detailed A to Z video, it is NOT just a STARTING POINT! thanks for the beautiful content

@mikep4981

This video is fantastic. informative, concise and a strong foundation for pandas.  Most importantly, it is easy to understand and follow along.  Thanks for the video, I'm subscribing!