Iterators & Generators in Inventory App When working with large inventories, it’s not always efficient to process everything at once. Sometimes, we want to stream results one by one (e.g., send alerts for low stock items) instead of building a full list in memory. This is where generators shine. They let us yield results lazily, so memory isn’t wasted. Think of it like a Netflix series – you watch one episode at a time, instead of downloading the whole season first. Adding a Generator for Low Stock Items Using the Generator Example Run Why Not Just Use a List? If we used a list, Python would build the entire list of low-stock items in memory first. With a generator, we yield items one by one , so if you had 10 million products , you’d only keep one item in memory at a time. ✅ Why this matters Generators make your app memory-efficient and scalable . Great for handling large datasets or real-time processing . They fit naturally into loops ( ) just like lists, but without the overhead. Next, we’ll bring everything together into the Final Inventory App with all features combined.