Agenda

- Theoretical session
- Hands-on with Java 8 and Eclipse
- Q&A session
- Career Counselling session

Tools Used: Java 8 and Eclipse

Learning Outcomes

Efficient and concise code: Java Stream API allows developers to write efficient and concise code for processing collections of data. It provides a functional programming approach to working with data, which can be much more expressive and readable than traditional imperative code.

Parallel processing: The Java Stream API is designed to be parallelizable, meaning that it can take advantage of multi-core processors to speed up data processing. This can be a significant performance boost for applications that need to process large amounts of data.

No side effects: The Java Stream API is designed to be stateless, meaning that there are no side effects when processing data. This makes it easier to reason about the code and avoid unexpected behavior caused by mutable state.

Integration with other Java APIs: The Java Stream API is designed to work seamlessly with other Java APIs, such as the Collections API and the Java 8 Date and Time API. This makes it easy to incorporate stream processing into existing Java applications.

Standardization: Java Stream API is a standardized feature of Java 8 and later versions, which means that it is widely adopted and supported by the Java community. By learning the Java Stream API, developers can use a standardized approach for processing data in their Java applications, making it easier to collaborate with other developers and maintain their code.

About Instructor

Bhupendra has over 12 years of development experience in the FinTech and TelCom domains. He is a FullStack Engineer and has developed many scalable and robust applications. He has given technical presentations at many conferences in popular institutions such as IISc Bangalore. He completed BE from Govt. Engineering College Bilaspur, CG. Apart from teaching, he is passionate about physics and poetry.