Python Functions for Data Science / Data Analysis - P.5

(My recommended courses that I took to learn Python!)

This video provides an overview of how data scientists and data analysts frequently use function. We start with understanding the use case for functions and then take a look at Python's built-in functions. We then spend the majority of the time covering how to build functions and more complex aspects of functions, like the unpacking operator (*, **). Finally, we apply what we learn to build a function that counts the lines of specified actors from 'The Office' CSV dataset.

00:00 Intro
01:09 Use Case of Functions
04:41 Built-in Functions
06:06 Function Basics: Building Functions
08:06 Function Basics: Adding an Argument
09:38 Function Basics: Adding Arguments
10:47 Function Basics: Default Arguments
12:14 Function Basics: The 'return' Statement
13:25 Functions Advanced: *args - Iterable Unpacking
17:21 Functions Advanced: **kwargs - Dictionary Unpacking
18:26 Application of Functions: Overview
20:29 Application: Reading the CSV
22:50 Application: Counting lines in CSV
25:58 Application: Feeding the Function
28:01 Conclusion

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#pythontutorial #functions #python

[danielmateo]

Hi Luke - I've just got to your channel and I've already watched more than 10 videos. Its been really helpful please keep this up. Looking forward for more videos from you. Thank you for sharing your knowledge. Kudos to you mate!

[rootytuners]

Congratulations on the first thousand subs. I have a feeling this will escalate!

By the way, your presentations are uncommonly great for tablet viewing - very clear, legible and concise.

[mageonly]

Thank you so much I learned python in just 5 videos! I hope I become a data scientist like you

[ankurgiri]

Please make more tutorials i love these pls complete the series with other libraries as well

[rafael]

Thanks so much for this! Greetings from Brazil.