Using Structural Pattern Matching in Python

Structural pattern matching is a powerful control flow construct invented decades ago that’s traditionally used by compiled languages, especially within the functional programming paradigm.

Most mainstream programming languages have since adopted some form of pattern matching, which offers concise and readable syntax while promoting a declarative code style. Although Python was late to join the party, it introduced structural pattern matching in the 3.10 release.

In this video course, you’ll:

Master the syntax of the match statement and case clauses
Explore various types of patterns supported by Python
Learn about guards, unions, aliases, and name binding
Extract values from deeply nested hierarchical data structures
Customize pattern matching for user-defined classes
Identify and avoid common pitfalls in Python’s pattern matching

What’s Included:

14 Lessons
Video Subtitles and Full Transcripts
2 Downloadable Resources
Accompanying Text-Based Tutorial
Interactive Quiz to Check Your Progress
Q&A With Python Experts: Ask a Question
Certificate of Completion

Downloadable Resources:

About Joseph Peart

Joseph is a software developer, data geek, bootcamp instructor, and board game enthusiast. He lives in Canada with his wife and cats. He loves learning new things, teaching those things to other people, and talking about himself in the third person.

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