Learn Functional Programming in Python Course Course

Module 1: Introduction to Functional Programming

⏳ 1.5 hours

• Topics: What is functional programming, imperative vs. functional style, core benefits.

• Hands-on: Compare imperative and functional code examples in Python.

Module 2: Functions as First-Class Objects

⏳ 2 hours

• Topics: Assigning functions to variables, passing functions as arguments, returning functions.

• Hands-on: Build higher-order functions and reusable utilities.

Module 3: Pure Functions and Immutability

⏳ 2 hours

• Topics: Side effects, referential transparency, using tuples and frozensets.

• Hands-on: Refactor code to use pure functions and immutable data.

Module 4: Built-In Functional Tools

⏳ 2.5 hours

• Topics: map(), filter(), reduce(), zip(), and enumerate().

• Hands-on: Perform data transformations using these core functions.

Module 5: Lambda Expressions and Closures

⏳ 2 hours

• Topics: Anonymous functions, capturing variables, variable scoping.

• Hands-on: Build compact operations using lambdas and nested closures.

Module 6: Recursion and Tail Calls

⏳ 2 hours

• Topics: Recursion patterns, avoiding stack overflow, converting to iteration.

• Hands-on: Solve problems like factorial and Fibonacci using recursion.

Module 7: Decorators and Composition

⏳ 2.5 hours

• Topics: Writing custom decorators, chaining functions, function pipelines.

• Hands-on: Create decorators for logging, timing, and validation.

Module 8: Real-World Applications

⏳ 2 hours

• Topics: Using functional programming in data processing and event-driven design.

• Hands-on: Build a small project demonstrating functional techniques in practice.

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