Python Functions for Data Science / Data Analysis - P.5
Key Takeaways
Covers the use of Python Functions for Data Science and Data Analysis
Original Description
Python Fundamentals Course (DataCamp) 👉🏼 https://lukeb.co/PythonBasicsDataCamp
Data Analyst Track w/ Python (DataCamp) 👉🏼 https://lukeb.co/PythonAnalystDataCamp
(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.
Playlist (Course) Material 👉🏼 https://github.com/lukebarousse/Python_Intro
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
Basics of Python playlist 👉🏼 https://www.youtube.com/playlist?list=PL_CkpxkuPiT8zTx9XO9jFf4PQ0iwBWfXB
Setting up Python on your computer playlist 👉🏼 https://www.youtube.com/playlist?list=PL_CkpxkuPiT9udgCeqZpS4HKF6uIzra3r
Recommended Certificates/Courses (Affiliate Links)
==================================
DataCamp:
Python 👉🏼 https://lukeb.co/PythonBasicsDataCamp
Power BI 👉🏼 https://lukeb.co/PowerBIDataCamp
Tableau 👉🏼 https://lukeb.co/TableauDataCamp
R 👉🏼 https://lukeb.co/RDataCamp
Data Analyst w/ Python 👉🏼 https://lukeb.co/PythonAnalystDataCamp
DataCamp Subscription (Monthly $25USD) 👉🏼 https://lukeb.co/DataCampSub
Coursera:
Google
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Chapters (15)
Intro
1:09
Use Case of Functions
4:41
Built-in Functions
6:06
Function Basics: Building Functions
8:06
Function Basics: Adding an Argument
9:38
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
🎓
Tutor Explanation
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