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Using Structural Pattern Matching in Python: Using Basic Patterns

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This is a preview of the video course, "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.
This is a portion of the complete course, which you can find here:
The rest of the course covers:
- Coding With Basic Patterns
- Continuing With Basic Patterns
- Understanding Advanced Patterns
- Applying Advanced Patterns
- Laying the Groundwork for Your App
- Matching a Pattern on a Deeply Nested Data Structure
- Bringing It All Together and Reading GitHub Issue Comments
- Understanding Pattern Matching Limitations
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.
This is a portion of the complete course, which you can find here:
The rest of the course covers:
- Coding With Basic Patterns
- Continuing With Basic Patterns
- Understanding Advanced Patterns
- Applying Advanced Patterns
- Laying the Groundwork for Your App
- Matching a Pattern on a Deeply Nested Data Structure
- Bringing It All Together and Reading GitHub Issue Comments
- Understanding Pattern Matching Limitations
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