1. **Understanding Streams**: Begin with an introduction to Streams, explaining their purpose in Java and how they differ from traditional collection handling. Discuss the benefits of using Streams for processing collections of data, such as lists, sets, or maps.
2. **Creating a Stream**: Describe how to create a Stream from different data sources. Explain the distinction between creating Streams from collections like Lists or Sets and generating Streams using methods like Stream.of or Arrays.stream.
3. **Intermediate Operations**: Dive deep into the intermediate operations like filter, map, and flatMap. Explain how these operations transform the Stream without triggering any computation, maintaining the Stream's laziness. Provide code examples to demonstrate each operation, such as filtering a list of objects based on certain criteria or transforming data with the map function.
4. **Terminal Operations**: Elaborate on terminal operations like forEach, toArray, collect, reduce, and others. Explain how these operations produce a non-Stream result and are typically where computation occurs. Include code examples showing how to use these operations to achieve various outcomes, such as collecting filtered results into a List or calculating a sum with reduce.
5. **Best Practices**: Share best practices in using the Streams API, emphasizing the importance of avoiding external state mutation and leveraging the API's laziness for efficient data processing. Highlight the avoidance of traditional loops in favor of Stream operations.
