The Complete Guide to Python Pandas Groupby

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Today we are going over many different Python Pandas GroupBy() examples. These include aggregate calculations, transform, lambda, apply, and much more.

We also go over single series calculations vs multiple columns.

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As a full-time data analyst/scientist at a fintech company specializing in combating fraud within underwriting and risk, I've transitioned from my background in Electrical Engineering to pursue my true passion: data. In this dynamic field, I've discovered a profound interest in leveraging data analytics to address complex challenges in the financial sector.

This YouTube channel serves as both a platform for sharing knowledge and a personal journey of continuous learning. With a commitment to growth, I aim to expand my skill set by publishing 2 to 3 new videos each week, delving into various aspects of data analytics/science and Artificial Intelligence. Join me on this exciting journey as we explore the endless possibilities of data together.

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I am extremely grateful to have stumbled upon these videos, clear examples and easily understandable, idiot-proof explanations guys!
Many thanks for your time and dedication, I will definitely watch all your videos since the way you approach and explain each exercise makes it look very easy.
Thanks Ryan!

andresramirezortega
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Great way of explanation with practical, Thanks Ryan

ajayshahnew
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A fantastic video; bridges gaps for non-python users between older languages and current with correct bsnss settings

suvayansaha
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Thank you, Mr. Ryan, for sharing a great video.

bounphet
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This was an extremely useful video for someone who wanted to refresh their memory about basic pandas functions. Hope your channel goes all the way! :)

anirudhvenkataramanan
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The best video on youtube for this topic

RodWorldTours-fomh
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You're a natural Educator Sir!
You deserve more subs! 😎😎

RageDauntlessWinters
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Great Video Ryan - was reading a Pandas book, but your videos are more practical. Thank you for your time and efforts. Subscribed immediately and looking for more. Hopefully you can add a subquery using pandas some time in future.

agermoune
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why did we switch from transform to apply in lambda functions ?

suvayansaha
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I got a question for you. What if one of your data has missing values, sometimes every first day of the month or some column takes on a particular value every month? How would you handle the problem? I hope you can make a video for us.

tomrhee
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Extremely underrated channel. Love your videos @Ryan

riddhimanmunshi