Scala is a very powerful hybrid functional pure object oriented language on the JVM. Scala is known for its conciseness and expressiveness. In this presentation we will look at some common tasks you do everyday in developing applications and see how they manifest in Scala.

We will look at the strengths of Scala from application development point of view. Rather than focusing on the syntax of Scala, we will focus here on Scala idioms and powerful Scala libraries to perform routine tasks.

Once I got convinced about the benefits of TDD, I used it pretty extensively and consistently to drive the design and development of my code. So, it came as a surprise when I was trying to convince myself that those practices do not apply on a highly multithreaded code I was creating on a project. Thankfully, I set out to prove that TDD does not apply, but ended up proving myself wrong.

In this, zero powerpoint, all coding presentation, we will use TDD to drive the design and implementation of a multithreaded code. Along the way we will hit some road blocks, and learn techniques and practices that can break the barriers. If you have confronted the issue or have wondered about it, this presentation is for you.

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In this presentation we will take a quick walk though the issues with concurrency and how the solutions provided in Scala and Clojure help address those.

The gaining popularity of multi-core processors has rekindled the concurrency question: How do you effectively implement multithreaded applications on the Java platform? The familiar approach in Java is to create threads and to manage access to shared mutable state using synchronized locks. This approach to concurrency is fraught with hard work and uncertainties. Have you marked the appropriate methods synchronized, did you decorate the relevant fields volatile, did you properly construct the mutually exclusive regions of code, and is there a potential for deadlock lurking in the code.

In this talk you'll learn about alternate ways to tackling concurrency on the JVM. One approach is the functional way, along with an actor based model provided in Scala, to deal with immutable state. This removes the problem at the root, since data can't change there is no issue of contention to contend with. Another distinct approach, provided in Clojure, is to protect access to mutable data, not using locks, but using transactional boundary. The Software Transactional Memory brings database like transaction model to in-memory data. In this presentation we will discuss the pros and cons of these approaches and how to effectively apply them.

Keynote discussing the benefits and challenges of being a polyglot programmer.

Keynote discussing the benefits and challenges of being a polyglot programmer.

Groovy is a elegant, dynamic, agile, OO language. I like to program in Groovy because it is fun and the code is concise and highly expressive. Writing code in a language is hardly about using its syntax, however. It is about using the right idioms. Come to this section to pick up some nice Groovy idioms.

In this presentation you will take some Java code that does common operations and transform it to idiomatic Groovy. You will participate in exploring various options as you help transform several examples. Each example is intended to hone a particular idiom or Groovy facility.

Groovy is concise and expressive. However, writing good quality code takes effort and discipline.

Come to this session to learn about good coding styles, ways to observe, and measure the quality of your Groovy code. We will take several Groovy code examples, identify smells in them, measure and refactor to improve the quality.

Functional programming style is gaining popularity. Though Groovy is not a functional programming language, writing in functional style is common and idiomatic in Groovy. While you have used these features in Groovy, learning the tents of functional programming will help you recognized these and make better use of them in the future.

In this presentation we will learn what functional programming is and its benefits. Then we will explore the functional style of programming in Groovy.

You can't be agile if your code sucks. You know that you have to constantly refactor your code and design. But the questions is how? In this presentation, instead of looking at a laundry list of refactoring techniques, we will instead look at how to effectively approach refactoring and along the way discuss some core principles to look for.

We will take some sample code and refactor it. As we refactor, we will measure the quality of code using continuous integration. You can pick up a list of refactoring techniques from tools. However, in this section you will learn how and when to drive those tools, and more important why.

Java has come a long way, and yet there is so much that's happening in this space. In this presentation we will take a look at the exciting additions and changes coming up in the next version of Java.

Status of the Java language and the libraries Features that are around the corner JVM capability enhancements Benefits of these imminent changes

When I got into Java I had a "Wow, look how easy it is to implement these patterns." When I got into Groovy, I had the same reaction, but only better. The dynamic nature of Groovy makes it easier to implement some common patterns. What's better, there are some patterns that you can exploit in Groovy that are not so easy in Java. In this section, you will learn how to implement some traditional patters in Groovy, and also other patterns you are simply not used to in Java.

This presentation will go far beyond the Gang-of-four (GOF) patterns. You will learn how to implement some GOF patterns, but also some patterns that will allow you to exploit dynamic nature of Groovy and the elegance of Groovy closures.

The concise, expressive syntax of Groovy and the ability to create internal DSLs make Groovy a great language for testing related tools. I

In this presentation you will learn different Groovy based testing related tools that can help you attain and sustain agility on your projects. Rather than looking at a mere laundry list of tools, we will explore the key benefits and rationale for each tool, and understand strengths and weaknesses.

This session is intended for programmers with good working knowledge in at least one OOP language and interested in learning Objective-C to develop Mac and iPhone Apps.

After a rapid introduction to the basic language constructs, you'll deep dive into Objective-C specific concepts including Protocols, Categories, blocks, and how to really manage memory without getting overwhelmed in the process. You will also be introduced to tools and techniques to monitor and improve your code quality and performance.