<ul data-eligibleForWebStory="true"><li>Java Streams are used for declarative data processing.</li><li>List of important Java Stream API methods and their use cases:</li><li>1. map() - Transform each element.</li><li>2. filter() - Remove elements based on a condition.</li><li>3. flatMap() - Flatten nested collections into a single stream.</li><li>4. collect() - Terminal operation to accumulate stream results.</li><li>5. toMap() - Create a map from stream data.</li><li>6. groupingBy() - Group elements by a classifier function.</li><li>7. partitioningBy() - Split elements into two groups.</li><li>8. reduce() - Combine elements into a single result.</li><li>9. distinct() - Remove duplicates.</li><li>10. sorted() - Sort the stream.</li><li>11. limit() / skip() - Pagination-style control.</li><li>12. anyMatch(), allMatch(), noneMatch() - Test if elements match a condition.</li><li>13. findFirst() / findAny() - Get an optional element.</li><li>14. peek() - Debug intermediary steps.</li><li>15. count() - Count elements in the stream.</li><li>Practice Ideas: Use a single object model like Developer, Project, and Department.</li><li>Relationships like skills, salary, projects, and more can be practiced with this model.</li></ul>

🚀 🧠 Java Stream API Practice Guide – Concepts and Real-World Use Cases

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