Nice collection of code snippets to compare Java and Kotlin.

When we announced Kotlin as a supported language for Android, there was a tremendous amount of excitement among developers. Since then, there has been a steady increase in the number of developers using Kotlin. Today, we’re proud to say nearly 60% of the top 1,000 Android apps contain Kotlin code, with more and more Android developers introducing safer and more concise code using Kotlin.

Table of Contents

• Kotlin vs Java
• Checked Exceptions
• Code Conciseness
  Coroutines
  Data Classes
  Extension Functions
  Higher-Order Functions and Lambdas
  Implicit Widening Conversions
  Inline Functions
  Native Support for Delegation
  Non-private Fields
  Null Safety
  Primitive Types
  Smart Casts
  Static Members
  Support for Constructors
  Ternary Operator
  Wildcard Types
  Kotlin vs Java: Head to Head

Data structure and algorithms are core part of any Programming job interview. It doesn't matter whether you are a C++ developer, a Java developer or a Web developer working in JavaScript, Angular, React, or Query. As a computer science graduate, its expected from a programmer to have strong knowledge of both basic data structures e.g. array, linked list, binary tree, hash table, stack, queue and advanced data structures like the binary heap, trie, self-balanced tree, circular buffer etc. I have taken a lot of Java interviews for both junior and senior positions in the past, and I have been also involved in interviewing C++ developer. One difference which I have clearly noticed between a C++ and a Java developer is their understanding and command of Data structure and algorithms.

On average, a C or C++ developer showed a better understanding and application of data structure and their coding skill was also better than Java developers. This is not a coincidence though. As per my experience, there is a direct correlation between a programmer having a good command of the algorithm also happens to be a good developer and coder.

I firmly believe that interview teaches you a lot in very short time and that's why I am sharing some frequently asked Data structure and algorithm questions from various Java interviews.

If you are familiar with them than try to solve them by hand and if you do not then learn about them first, and then solve them. If you need to refresh your knowledge of data structure and algorithms then you can also take help from a good book our course like Data Structures and Algorithms: Deep Dive Using Java for quick reference.

PMD is a source code analyzer. It finds common programming flaws like unused variables, empty catch blocks, unnecessary object creation, and so forth. It supports Java, JavaScript, Salesforce.com Apex, PLSQL, Apache Velocity, XML, XSL.

Additionally it includes CPD, the copy-paste-detector. CPD finds duplicated code in Java, C, C++, C#, Groovy, PHP, Ruby, Fortran, JavaScript, PLSQL, Apache Velocity, Scala, Objective C, Matlab, Python, Go, Swift and Salesforce.com Apex.

A system for managing programming contests on the Web. Written in Iava, source code available.

A nice feature is that it does not use a database for the backend, but organizes the information into files and directories in the filesystem.

Large-scale is a poorly defined term, but I'll take a stab at this still...

OpenGrok is a fast and usable source code search and cross reference engine. It helps you search, cross-reference and navigate your source tree. It can understand various program file formats and version control histories like Mercurial, Git, SCCS, RCS, CVS, Subversion, Teamware, ClearCase, Perforce, Monotone and Bazaar. In other words it lets you grok (profoundly understand) source code and is developed in the open, hence the name OpenGrok. It is written in Java.

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build and walk parse trees.

Open source, SOA, Web services, Cloud computing, Java PaaS, middleware projects for developers / architects. With Apache Axi2, WSO2 Carbon, ESB, Stratos

Code Examples from The Java Developers Almanac 1.4

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