12.2.3 Pattern matching

• What is pattern matching in functional programming?

  Matching data structure to patterns
• Pattern matching matches structural forms
• What syntax is used in pattern matching?

  Pattern definitions
• Pattern matching is suitable for simple conditions.

  False
• Order the use cases for pattern matching:

  1️⃣ Parsing XML or JSON data

  2️⃣ Implementing state machines

  3️⃣ Handling events in user interfaces
• Why is pattern matching considered versatile in functional programming?

  It handles complex data structures
• Pattern matching handles data by matching structural forms
• Conditional statements use pattern definitions in their syntax.

  False
• What is the complexity level of pattern matching in data handling?

  Handles complex structures
• Match the feature with its description:

  Data Handling ↔️ Matches structural forms for pattern matching ||| Compares values for conditional statements

  Syntax ↔️ Uses pattern definitions for pattern matching ||| Uses `if`, `else` for conditional statements

  Complexity ↔️ Handles complex data structures for pattern matching ||| Suitable for simple conditions for conditional statements
• Pattern matching uses pattern definitions
• What type of data does pattern matching handle?

  Structural forms
• Conditional statements use pattern definitions in their syntax.

  False
• Order the features from simplest to most complex in data handling:

  1️⃣ Conditional Statements

  2️⃣ Pattern Matching
• Pattern matching is more versatile for complex data manipulations
• What is the primary strength of pattern matching compared to conditional statements?

  Handling complex structures
• Pattern matching is better suited for simple value comparisons than conditional statements.

  False
• Match the feature with its description:

  Data Handling ↔️ Matches structural forms for pattern matching ||| Compares values for conditional statements

  Syntax ↔️ Uses pattern definitions for pattern matching ||| Uses `if`, `else` for conditional statements

  Complexity ↔️ Handles complex data structures for pattern matching ||| Suitable for simple conditions for conditional statements
• What does pattern matching compare in data handling?

  Structural forms
• The syntax of pattern matching uses predefined pattern definitions
• Pattern matching is suitable for simple conditions.

  False
• What is one common use case for pattern matching?

  Parsing XML data
• The syntax of pattern matching uses predefined pattern definitions
• Pattern matching is ideal for simple value comparisons.

  False
• What is the syntax for pattern matching in Haskell?

  `case` or function definitions
• In Scala, pattern matching uses the match keyword.
• Match the use case with its application:

  Deconstructing tuples ↔️ Extracting values from data structures

  Handling algebraic data types ↔️ Processing different data types

  Implementing state machines ↔️ Managing state transitions
• Pattern matching examines the form of the data, unlike conditional statements which compare values.
• Pattern matching matches structural forms, while conditional statements compare values.
• What is the keyword used for pattern matching in OCaml?

  `match`
• Order the benefits of pattern matching:

  1️⃣ Enhanced Code Readability

  2️⃣ Automatic Exhaustiveness Checking

  3️⃣ Simplified Data Deconstruction
• One limitation of pattern matching is a higher learning curve.
• Pattern matching is always more efficient than conditional statements for simple value comparisons.

  False