Log In
Or create an account -> 
Imperial Library
  • Home
  • About
  • News
  • Upload
  • Forum
  • Help
  • Login/SignUp

Index
Preface Type inference
What is type inference? Type inference with var
Compulsory non-null initialization Local variables Code check – part 1 Using var with primitive data types Type inference with derived classes Type inference – with interfaces Using var with arrays Type inference with generics Code check – part 2 Passing inferred variables to a method Reassigning value to inferred variables Explicit casting with inferred variables Assigning null with explicit casting
Type inference in previous versions of Java
Type inference in Java 5 Type inference in Java 7 Type inference in Java 8
Challenges
Limiting the scope of failed assumptions Breaking existing code Non-denotable types Meaningful variable names Code refactoring
Type inference versus dynamic binding Summary
Application class data sharing Garbage Collector optimizations API Improvements and other changes Local variable syntax for Lambda parameters Epsilon and its design considerations HTTP Client and other changes Enhanced Enums in Project Amber
Introduction to enums in Java 5
Decompiled enum – behind the scenes
Adding state and behavior to enum constants
Accessing state and behaviour of enum constants Workaround to access state and behaviour of enum specific constants Another example – using inheritance with enum constants
Adding generics to Enums
Sharper typing of enum constants
Summary
Data classes and their usage
Introduction to the data classes
What is a data class Need of adding data classes to the language
Deep dive into data classes
An example Aggregate and exploded form of a data class The limitations Examples from the past – changes to define enums Pattern matching with the data classes Encapsulating state Data classes and inheritance Extending an abstract data class Implementing interfaces Additional variables Overriding implicit behaviour Additional methods and constructors Mutability Thread safety
Summary
Raw String literals Lambda Leftovers Pattern matching and switch expressions Value based optimizations Generics improvements Filters and Continuations JVM and native code
  • ← Prev
  • Back
  • Next →
  • ← Prev
  • Back
  • Next →

Chief Librarian: Las Zenow <zenow@riseup.net>
Fork the source code from gitlab
.

This is a mirror of the Tor onion service:
http://kx5thpx2olielkihfyo4jgjqfb7zx7wxr3sd4xzt26ochei4m6f7tayd.onion