Learning Pandas for Data Analysis? Start Here.

A high paced overview of many of the pandas core functionality. As one of the most popular libraries in all of programming, Pandas is an essential tool for learning data wrangling. Watch this video to get a good foundational understanding of what is possible.

Timeline:
00:00 Intro
00:57 Importing Pandas
01:26 Data I/O
01:51 Reading From Files
03:03 Writing to Files
03:36 DataFrame Basics
04:57 DataFrame Summary
06:12 Subsetting Columns
07:19 Select dtypes
07:34 Select as Series vs DataFrame
07:58 .loc and .iloc
09:37 .loc Filter Expressions
10:50 .query
11:31 Summary Statistics
12:10 .agg
12:53 Sumarizing Categoricals
13:43 rank, shift, cumsum
14:44 Rolling methods
15:21 Clip
15:41 Groupby
16:44 New Columns
17:33 Sorting
18:30 Missing Data
19:33 Combining Data
19:55 concat
21:01 Merge DataFrames
21:52 Merge Suffixes
22:34 Bonus

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[robmulla]

Just fork the notebook and explore the data with pandas!

[spacephenix]

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.

[elu]

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

[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!

[chauhanknight]

This 20 min video is equivalent to 2hrs of other youtube videos...masterpiece

[SmadeX]

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!

[sojourner]

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 !

[PeterPankowski]

Great work….thank you for posting the kaggle file!

[syedhaider]

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

[_RahulDewangan]

This video came many times in my home page recommendation but i was ignoring cause it's just a 22 min boom 🤯 ! Omg not even a 2 hours video of others cover all these.❤ thanks

[mikep]

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!

[levelpeon]

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).

[paveluhliar]

Thanks for this video. Packed with info, but still easy to follow, no small talk… Really appreciate your effort!

[whatisagoodusernamehere]

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

[rwtmond]

Fair introduction on pandas library
Thank you for the info

[samanvithajanga]

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

[oukiebotha]

Brilliant tutorial. Absolutely the best. Thank you, thank you, 🏆🏆🙏🙏

[IsraRM]

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.

[nusratsayyed]

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

[irfanshaikh]

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