This Java New Features training course provides hands-on experience with lambda expressions introduced in Java as well as many other changes to the language and libraries. Attendees will get a full appreciation of functional-style programming and the new idioms made possible by lambda expressions that make their code easier to read and understand. The course then explores the Streams API, which lets you write powerful code that processes a collection of data in a declarative way. Attendees will get a full appreciation of what streams are and how they can use them in their programs to process collections of data concisely and efficiently.
Anyone developing Java applications who has core Java SE skills and wishes to capitalise on the addition of lambda expressions and streams library in Java to create less error-prone and simpler concurrent programs.
Java New Features Training Delivery Methods
- After-course instructor coaching benefit
- After-course computing sandbox included
- End of course exam
Java New Features Training Course Benefits
Pass code as parameters to methods using lambda expressions to make your code simpler and easier to understandManipulate, format and parse dates with the Date and Time APILeverage default methods to achieve evolution of interfaces while maintaining compatibility with older codeProcess data with Java streamsTake advantage of stream parallel processing to achieve efficiencyPerform asynchronous programming with CompletableFutureRead and write files using Java NIO
Java New Features Training Outline
- Leveraging functional interfaces to pass code as data to methods
- Contrasting lambda expressions and anonymous classes
- Method references and constructor references
- Invoking higher order functions
- Evolving APIs
- Employing new usage patterns for default methods
- Invoking higher order functions
- Formatting and parsing with the Date and Time API
- Using Optional as a better alternative to null
- Expanding the use of annotations
- Leveraging streams to process data
- Contrasting external and internal iteration
- Facilitating common stream operations
- Invoking higher order functions
- Implementing Collectors
- Reducing and summarising data
- Enabling grouping and partitioning
- Collecting data into Maps
- Executing parallel streams
- Dividing and conquering with Spliterator
- Comparing imperative data processing to streams
- Implementing an asynchronous API Important
