Java 8 - Novas Funcionalidades

Apresentação

Este curso fornece experiência prática com expressões lambda introduzidas no Java 8, além de muitas outras alterações na linguagem e nas bibliotecas. Os participantes obterão uma apreciação completa da programação em estilo funcional e os novos idiomas tornados possíveis pelas expressões lambda que tornam o código mais fácil de ler e entender. O curso explora Streams API, que permite escrever um código poderoso e que processa um conjunto de dados de maneira declarativa. Os participantes terão uma apreciação completa do que são streams e como podem usá-los nos seus programas para processar coleções de dados de forma concisa e eficiente.

Objetivos

• Pass code as parameters to methods using lambda expressions to make your code simpler and easier to understand
• Manipulate, format and parse dates with the Date and Time API
• Leverage default methods to achieve evolution of interfaces while maintaining compatibility with older code
• Process data with Java streams
• Take advantage of stream parallel processing to achieve efficiency
• Perform asynchronous programming with CompletableFuture
• Read and write files using Java NIO

Pré-Requisitos

This course is for anyone developing Java applications who has core Java SE skills and wishes to capitalize on the addition of lambda expressions and streams library in Java 8 to create less error-prone and simpler concurrent programs.

The course assumes a background in Java programming with at least Java 7.

Programa

Lambda Expressions

• 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

Default Methods

• Evolving APIs
• Employing new usage patterns for default methods
• Invoking higher order functions

The Date and Time API and Other Changes

• Formatting and parsing with the Date and Time API
• Using Optional as a better alternative to null
• Expanding the use of annotations

Streams

• Leveraging streams to process data
• Contrasting external and internal iteration
• Facilitating common stream operations
• Invoking higher order functions

Collecting Data with Streams

• Implementing Collectors
• Reducing and summarizing data
• Enabling grouping and partitioning
• Collecting data into Maps

Concurrency

• Executing parallel streams
• Dividing and conquering with Spliterator
• Comparing imperative data processing to streams
• Implementing an asynchronous API Important