Learning Pandas for Data Analysis? Start Here.

Perfect!

Thanks for sharing your knowledge

this vid is a gem

I’m sorry I know this will sound dumb to you guys but how is it listing all option after writing a part of if. Like read_ ( then a whole bunch of different commands like read_csv and so on)? I’m using jupyter lab everyday and haven’t seen that ! Cool

One of my favorite teachers

Thanks for this. Straight to the point. Great!

Do you think Polars is going to be especially disruptive? I’ve been using it a bit and I can’t believe how much faster it is at a lot of things. But pandas is very entrenched (and probably has slightly more friendly syntax).

This is great work!! Thank you very much for putting it out here!!

It is solid tutorial for Data Geeks. Thank you)

Great lesson

Great refresher, but too fast for tutorial. I suggest breaking it in chuncks.

cover EDA for time series data

Thanks for the content, Rob! it's really excellent! Can you do another video like this but with numpy?

Its time for you to show us hiw to build a dashboard

we are waiting for the next part! I personally wanna see sth on visualization!

I'm wanting to ask a bit more of a meta question. How much time do you spend outside of work on your skills? How much passion or drive do you have and what are your routines? I work in medical ML and came across your EDA video and wanted to get a successful person's view on how to improve and grow.

Thank you but there is alot you dont go through. I'm new to Python and it took me a couple of minute to realise i need to install pandas. Then pd.read_parquet() did not work, these are simple things which you should make a habit of mentioning in your videos.

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

Thank you for the videos Rob, your hard work is highly appreciated.

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!

Thanks!

Great stuff!

Great video Rob, I would love to see you explaining Machine Learning and Deep Learning models, from theory to practice using scikit-learn, Keras or Pytorch. You really made things look easy. Can't wait to see another of your awesome videos.

Very easy to follow along, thank you!

Thanks for the great Video!

How did you manipulate that folder with bunch of.csv files to put fit all together in the df? And how to deal with irregular datas in a typical case like this?

Have you already done some tutorial explaining and detailing these kind of tasks?

🤗

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).

Do you have a panda functions cheat sheet (df functions) available? Thanks. Follower 👍

Hi @robmulla

In Handling Missing Data chapter, would be nice, if you could provide your insight as the best approach and what is normally recommended to do, if it is fillna or dropna, I know that it could be subjective to the task at hand, but having insight as expert would be nice.

Thank you so much ❣️ I have watched your previous pandas video, but this had everything ❤ it was awesome ❤


I understood everything except for to write csv,

Thank you so much for this amazing video ❤

nice, if would be useful if you could put a link for downloading your dataset so we could play around with your data while you explain, it would be appreciated, for example I would need to see by myself what the difference reindexing does when combining datasets, it is not immediately obvious to me and would require some test and comparisons

how to get the data of this video

I tried using Jupyter Lab cos of you Rob. Excellent work. Very informative videos. I wonder how you manage to get auto complete in Jupyter lab. It doesn't work for me. The only limitation I have found with Jupyter Lab since I tried it. I had to download this video... Pandas is so important.

I tried using Jupyter Lab cos of you Rob. Excellent work. Very informative videos. I wonder how you manage to get auto complete in Jupyter lab. It doesn't work for me. The only limitation I have found with Jupyter Lab since I tried it.

Masterpiece thanks thief!

Great video as always ! Would be Nice to have the same one with polars

I can tell even before watching this video that's its great!!! You're such a great tutor.

hi! What plugin do you use to see the details of each function?

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

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

Great as always! Now get to work and make tutorials for seaborn and matplotlib :)

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.

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!

Great tip on renaming the multi index columns!!

Wonderful channel for beginner data analysts & learned a lot of concepts from you…. Great work man

This is great

Hi Rob, Please start some series on Tableau. Regards.

Thanks, Rob. That's a great summary of the features. Really useful!

Magic Rob! hopefully be like you one day

Thanks Rob for sharing the knowledge and experience to data community 😊