FeaturedUdemy
Introduction to Functions in Python
4.8(1,311)468k studentsBEGINNEREnglish
Korshub's take
Editor's Take
Writing custom functions is the foundation of modular, reusable code in Python data analysis. This course shifts learners from using built-in functions to building custom, robust logic tailored to specific data requirements.
Who It's For
Suitable for beginner Python developers and data professionals needing to master functional programming fundamentals.
Key Takeaways
- Construct custom functions incorporating multiple parameters, default arguments, variable-length arguments, and multiple return values.
- Understand variable scoping rules and write concise lambda functions.
- Implement error handling techniques and apply your code to analyze real Twitter data.
About this course
It's time to push forward and develop your Python chops even further. Python has tons of fantastic functions and a module ecosystem. However, as a data professional or developer, you'll constantly need to write your own functions to solve problems that are dictated by your data. You will learn the art of function writing in this first course. You'll come out of this course being able to write your very own custom functions, complete with multiple parameters and multiple return values, along with default arguments and variable-length arguments. You'll gain insight into scoping in Python, be able to write lambda functions and handle errors in your function writing practice. You'll wrap up each chapter by using your new skills to write functions that analyze Twitter data.
The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.
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