Language interoperability is the capability of two different programming languages to natively interact as part of the same system. Interoperability is advantageous because different programming languages are optimized for specific tasks, and allowing them to communicate can create better systems.

Apart from the Java language, the most common or well-known JVM languages are:

• Scala, a statically-typed object-oriented and functional programming language
• Clojure, a modern, dynamic, and functional dialect of the Lisp programming language
• Groovy, a dynamic programming, and scripting language
• JRuby, an implementation of Ruby
• Jython, an implementation of Python
• Kotlin, a statically-typed language

In this session, we'll demonstrate how your program can interop with different JVM languages.

Pattern Matching and Destructuring are two simple, yet powerful features in functional programming languages. There are several ways we can leverage them to make cleaner code. It also encourages you to think data as a first-class citizen and provide the essential tooling.

In this session, we are going to learn what these techniques bring to the table by looking at some real-world use-cases in Kotlin & Clojure.

Have you ever wondered how we can build a real-world, production-ready, end-to-end application using the functional programming principles? Immutability, Pure Functions and all other functional programming things sound good on paper but How can we build something useful by applying it?

At Ajira, We recently built an e-commerce marketplace middleware in Clojure for a leading retail chain to sell their products on multiple e-commerce sites seamlessly. In this case study, we are going to build a minimal version of this project using which I will be sharing how we implemented it.

Because of some perceived complexities and the mathematical background in functional programming, the beginners get bogged down while learning and putting it into practice. As a matter of fact, few people give up after some initial attempts. But it is not as much harder as we think. It is just different!

Together, let's experience a different perspective of functional programming and get started in a better way

Because of some perceived complexities and the mathematical background in functional programming, the beginners get bogged down while learning and putting it into practice. As a matter of fact, few people give up after some initial attempts. But it is not as much harder as we think. It is just different!

Together, let's experience a difference perspective of functional programming and get started in a better way 

Persisting the State is an integral part of any application, and it profoundly influences how we architect the application. But do we need to store the state in the first place? Is there any alternative?

Together, let's experience a difference perspective of State Management.