Python Custom Iterators: Building a Fibonacci Sequence Generator

Working with large data streams in Python requires an efficient approach to memory management. Understanding how to build custom iterators allows you to generate values on the fly without consuming unnecessary system resources. This text-based course guides you through the mechanics of Python's iterator protocol, showing you how to control loop behavior and sequence generation from the ground up. You will transition from writing basic loops to designing robust, memory-efficient custom iterators that integrate seamlessly with Python's native language features. What you'll learn: - Understand the foundational concepts of iterables and iterators in Python - Implement the iterator protocol using custom __iter__ and __next__ methods - Manage internal state to generate the Fibonacci sequence efficiently - Apply modern Python type hints to document your custom iterator structures - Handle boundary conditions and prevent infinite loops using StopIteration - Practice writing clean, readable code that conforms to modern formatting standards Starting with core definitions and basic iteration theory, the course moves step-by-step into practical implementation, showing you exactly how Python handles looping behind the scenes. You will read clear explanations, analyze structured code snippets, and complete written exercises to solidify your understanding. This course is designed for beginner-to-intermediate Python developers who want to deepen their understanding of object-oriented programming and memory-efficient design. No prior experience with custom protocols is required. Start reading today to unlock the full power of Python's iteration mechanics.