Object-oriented Programming Visually Explained for Data scientists

Hi everyone! In this video, I’m explaining the key ideas of object-oriented programming (OOP) that a data scientist should know! Enjoy!

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🔑 TIMESTAMPS
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0:00 - Intro
0:33 - What is OOP?
1:02 - How it works - 4 principles of OOP
5:17 - Pros & Cons
5:50 - When should you use OOP in a Data science project
7:00 - Outro

#ThuVu #Datanerd #DataAnalysis #CoffeeData #DataScience #dataanalytics

[totally_not_a_bot]

It's amazing how this short video also showed me, as someone already familiar with the topic, pretty much everything I need to know to do OOP in Python

[schuylerblasy]

Brilliant and helpful video! Thank you!

[njmanga]

Love this video you literally explained everything the way I needed to hear it I learned so much

[khamphatrithuc]

Great, I really need help and encouragement. Thanks

[anmoldwivedi]

Could you make a video/series about how to write production-level code for data scientists??

[yyelainemuc]

I really like the illustrations and metaphors, helped a lot. Thanks!

[medlapino]

great video, can you please making videos doing examples of some projects as examples to help build portfolio 😅

[Donnirononon]

Guess id hang myself if i could not use classes tbh. You dont have do go all out fanatical OOP but can use the benefits of booth

[shadow]

OOP is OP who understands it, who doesn't they do oops !