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Lesson 14 of 40 Core Python Intermediate โฑ 35 min

Iterators, Generators & yield

Build memory-efficient data pipelines with __iter__/__next__, generator functions, yield from, generator expressions, and send().

Part 1: Introduction to Iterators, Generators & yield

Build memory-efficient data pipelines with __iter__/__next__, generator functions, yield from, generator expressions, and send().


This lesson uses Python 3.13 features and follows best practices for development in Visual Studio 2026 with Copilot assistance.

Part 2: Core Concepts & Code Examples

# Iterators, Generators & yield โ€” Python 3.13 Example
from typing import Any

def main() -> None:
    """Entry point demonstrating lesson 14 concepts."""
    print(f"Lesson 14: Iterators, Generators & yield")

if __name__ == "__main__":
    main()

Part 3: Best Practices & Patterns

Apply the patterns from this lesson consistently across your projects. Visual Studio 2026's Python IntelliSense, type checking integration, and GitHub Copilot will guide you toward idiomatic, production-ready Python 3.13 code.

  • Use type hints for all function signatures
  • Write docstrings with Args/Returns sections
  • Run ruff for linting, mypy for type checking
  • Test every function with at least one pytest test

Part 4: Next Steps

Practice these concepts hands-on, then continue to Lesson 15. Return to Python Tutorial Home to see the full curriculum, or visit VisualStudioTutor.com for Visual Studio 2026 guides.

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