Dr. Venkat Subramaniam is an award-winning author, founder of Agile Developer, Inc., creator of agilelearner.com, and an instructional professor at the University of Houston.
He has trained and mentored thousands of software developers in the US, Canada, Europe, and Asia, and is a regularly-invited speaker at several international conferences. Venkat helps his clients effectively apply and succeed with sustainable agile practices on their software projects.
Venkat is a (co)author of multiple technical books, including the 2007 Jolt Productivity award winning book Practices of an Agile Developer. You can find a list of his books at agiledeveloper.com. You can reach him by email at venkats@agiledeveloper.com or on twitter at @venkat_s.
Learning about design patterns is not really hard. Using design patterns is also not that hard. But, using the right design pattern for the right problem is not that easy. If instead of looking for a pattern to use if we decide to look for the design force behind a problem it may lead to better solutions. Furthermore, with most mainstream languages supporting lambda expressions and functional style, the patterns appear in so many more elegant ways as well.
In this workshop we will start with a quick introduction of a few patterns. Then we will work with multiple examples—take a problem, delve into the design, and as we solve it, see what patterns emerge in the design. The objective of this workshop is to get a hands on experience to prudently identify and use patterns that help create extensible code.
The ideas of reactive systems and reactive programming has been around for a while. However, changes in many areas including how applications are deployed to how applications are used, including big data, have resulted in a renewed interest in this area.
In this presentation we will start with a discussion of the nature of reactive systems and the characteristics of reactive applications. Then we will dive into design and architectural concerns we have to address to effectively create such system that can meet the demands of high volume, high frequency data and interactions.
Creating code is easy, creating good code takes a lot of time, effort, discipline, and commitment. The code we create are truly the manifestations of our designs. Creating a lightweight design can help make the code more extensible and reusable.
In this presentation we will take an example oriented approach to look at some core design principles that can help us create better design and more maintainable code.
It's common knowledge: software must be extensible, easier to change, less expensive to maintain. But, how? That's what we often struggle with. Thankfully there are some really nice design principles and practices that can help us a great deal in this area.
In this workshop, we will start with a few practical examples, problems that will demand extensibility and ease of change. We will approach their design, and along the way learn about the principles we apply, why we apply them, and the benefits we get out of using these principles. Instead of talking theory, we will design, refactor, create prototypes, and evaluate the design we create.
It's common knowledge: software must be extensible, easier to change, less expensive to maintain. But, how? That's what we often struggle with. Thankfully there are some really nice design principles and practices that can help us a great deal in this area.
In this workshop, we will start with a few practical examples, problems that will demand extensibility and ease of change. We will approach their design, and along the way learn about the principles we apply, why we apply them, and the benefits we get out of using these principles. Instead of talking theory, we will design, refactor, create prototypes, and evaluate the design we create.
Design patterns are common place in OO programming. With the introduction of lambda expressions in languages like Java, one has to wonder about their influence on design patterns.
In this presentation we will take up some of the common design patterns and rework them using lambda expressions. We will also explore some other patterns that are not so common, but are quite useful ways to apply lambdas.
Before spending substantial effort in refactoring or altering design, it would be prudent to evaluate the current quality of design. This can help us decide if we should proceed with refactoring effort or a particular alteration of design. Furthermore, after evolving a design, using some design metrics would help us to evaluate if we have improved on the design front.
In this workshop we will learn about some critical qualities of design and how to measure those. We will learn about these by working through some example code, refactoring it, and evaluating the design again at each stage of refactoring.
Before spending substantial effort in refactoring or altering design, it would be prudent to evaluate the current quality of design. This can help us decide if we should proceed with refactoring effort or a particular alteration of design. Furthermore, after evolving a design, using some design metrics would help us to evaluate if we have improved on the design front.
In this workshop we will learn about some critical qualities of design and how to measure those. We will learn about these by working through some example code, refactoring it, and evaluating the design again at each stage of refactoring.
Big up front design is discouraged in agile development. However, we know that architecture plays a significant part in software systems. Evolving architecture during the development of an application seems to be a risky business.
In this presentation we will discuss the reasons to evolve the architecture, some of the core principles that can help us develop in such a manner, and the ways to minimize the risk and succeed in creating a practical and useful architecture.
Transitioning from a monolith to a microservices based architecture is a non-trivial endeavor. It is mired with many practices that may lead to a disastrous implementation if we're not careful.
In this presentation we will discuss some core practices and principles that are critical to follow to effectively transition from a monolith to a microservices based architecture.
Java Modules are the future. However, our enterprise applications have legacy code, a lots of it. How in the world do we migrate from the old to the new? What are some of the challenges. In this presentation we will start with an introduction to modules and learn how to create them. Then we will dive into the differences between unnamed modules, automatic modules, and explicit modules. After that we will discuss some key limitations of modules, things that may surprise your developers if they're not aware of. Finally we will discuss how to migrate current applications to use modules.
.
Many developers aspire to become architects. Some of us serve currently as architects while the rest of us may hope to become one some day. We all have worked with architects, some good, and some that could be better. What are the traits of a good architect? What are the skills and qualities we should pick to become a very good one?
Come to this presentation to learn about things that can make that journey to be a successful architect a pleasant one.
We all have seen our share of bad code and some really good code as well. What are some of the common anti patterns that seem to be recurring over and over in code that sucks? By learning about these code smells and avoiding them, we can greatly help make our code better.
Come to this talk to learn about some common code smell and to share your experiences as well.
Debunk the myth that JavaScript is not easily testable. Whether you use Node.js, Express, MongoDB, jQuery, AngularJS, or directly manipulate the DOM, you can test-drive JavaScript. Learn the craft of writing meaningful, deterministic automated tests with Karma, Mocha, and Chai. Test asynchronous JavaScript, decouple and properly mock out dependencies, measure code coverage, and create lightweight modular designs of both server-side and client-side code. Your investment in writing tests will pay high dividends as you create code that's predictable and cost-effective to change.
Design and code JavaScript applications with automated tests. Writing meaningful tests is a skill that takes learning, some unlearning, and a lot of practice, and with this book, you'll hone that skill. Fire up the editor and get hands-on through practical exercises for effective automated testing and designing maintainable, modular code.
Start by learning when and why to do manual testing vs. automated verification. Focus tests on the important things, like the pre-conditions, the invariants, complex logic, and gnarly edge cases. Then begin to design asynchronous functions using automated tests. Carefully decouple and mock out intricate dependencies such as the DOM, geolocation API, file and database access, and Ajax calls to remote servers.
Step by step, test code that uses Node.js, Express, MongoDB, jQuery, and AngularJS. Know when and how to use tools such as Chai, Istanbul, Karma, Mocha, Protractor, and Sinon. Create tests with minimum effort and run them fast without having to spin up web servers or manually edit HTML pages to run in browsers. Then explore end-to-end testing to ensure all parts are wired and working well together.
Don't just imagine creating testable code, write it.
What You Need:
A computer with a text editor and your favorite browser. The book provides instructions to install the necessary automated testing-related tools.
Our industry is moving toward functional programming, but your object-oriented experience is still valuable. Scala combines the power of OO and functional programming, and Pragmatic Scala shows you how to work effectively with both. Updated to Scala 2.11, with in-depth coverage of new features such as Akka actors, parallel collections, and tail call optimization, this book will show you how to create stellar applications.
This thorough introduction to Scala will get you coding in this powerful language right away. You'll start from the familiar ground of Java and, with easy-to-follow examples, you'll learn how to create highly concise and expressive applications with Scala. You'll find out when and how to mix both imperative and functional style, and how to use parallel collections and Akka actors to create high-performance concurrent applications that effectively use multicore processors.
Scala has evolved since the first edition of this book, and Pragmatic Scala is a significant update. We've revised each chapter, and added three new chapters and six new sections to explore the new features in Scala. You'll learn how to:
Safely manage concurrency with parallel collections and Akka actors
Create expressive readable code with value classes and improved implicit conversions
Create strings from data with no sweat using string interpolation
Create domain-specific languages
* Optimize your recursions with tail call optimization
Whether you're interested in creating concise, robust single-threaded applications or highly expressive, thread-safe concurrent programs, this book has you covered.
What You Need:
The Scala compiler (2.x) and the JDK are required to make use of the concepts and the examples in this book.
Intermediate level, for programmers fairly familiar with Java, but new to the functional style of programming and lambda expressions.
Get ready to program in a whole new way. Functional Programming in Java will help you quickly get on top of the new, essential Java 8 language features and the functional style that will change and improve your code. This short, targeted book will help you make the paradigm shift from the old imperative way to a less error-prone, more elegant, and concise coding style that's also a breeze to parallelize. You'll explore the syntax and semantics of lambda expressions, method and constructor references, and functional interfaces. You'll design and write applications better using the new standards in Java 8 and the JDK.
Lambda expressions are lightweight, highly concise anonymous methods backed by functional interfaces in Java 8. You can use them to leap forward into a whole new world of programming in Java. With functional programming capabilities, which have been around for decades in other languages, you can now write elegant, concise, less error-prone code using standard Java. This book will guide you though the paradigm change, offer the essential details about the new features, and show you how to transition from your old way of coding to an improved style.
In this book you'll see popular design patterns, such as decorator, builder, and strategy, come to life to solve common design problems, but with little ceremony and effort. With these new capabilities in hand, Functional Programming in Java will help you pick up techniques to implement designs that were beyond easy reach in earlier versions of Java. You'll see how you can reap the benefits of tail call optimization, memoization, and effortless parallelization techniques.
Java 8 will change the way you write applications. If you're eager to take advantage of the new features in the language, this is the book for you.
What you need:
Java 8 with support for lambda expressions and the JDK is required to make use of the concepts and the examples in this book.
Groovy brings you the best of both worlds: a flexible, highly productive, agile, dynamic language that runs on the rich framework of the Java Platform. Groovy preserves the Java semantics and extends the JDK to give you true dynamic language capabilities. Programming Groovy 2 will help you, the experienced Java developer, learn and take advantage of the latest version of this rich dynamic language. You'll go from the basics of Groovy to the latest advances in the language, including options for type checking, tail-call and memoization optimizations, compile time metaprogramming, and fluent interfaces to create DSLs.
You don't have to leave the rich Java Platform to take advantage of Groovy. Groovy preserves Java's semantics and extends the JDK, so programming in Groovy feels like the Java language has been augmented; it's like working with a lighter, more elegant Java. If you're an experienced Java developer who wants to learn how Groovy works, you'll find exactly what you need in this book.
You'll start with the fundamentals of programming in Groovy and how it works with Java, and then you'll explore advanced concepts such as unit testing with mock objects, using Builders, working with databases and XML, and creating DSLs. You'll master Groovy's powerful yet complex run-time and compile-time metaprogramming features.
Much has evolved in the Groovy language since the publication of the first edition of Programming Groovy. Programming Groovy 2 will help you learn and apply Groovy's new features. Creating DSLs is easier now, and Groovy's already-powerful metaprogramming facilities have improved even more. You'll see how to work with closures, including tail call optimization and memoization. The book also covers Groovy's new static compilation feature.
Whether you're learning the basics of the language or interested in getting proficient with the new features, Programming Groovy 2 has you covered.
What You Need
To work on the examples in the book you need Groovy 2.0.5 and Java JDK 5 or higher.
More than ever, learning to program concurrency is critical to creating faster, responsive applications. Speedy and affordable multicore hardware is driving the demand for high-performing applications, and you can leverage the Java platform to bring these applications to life.
Concurrency on the Java platform has evolved, from the synchronization model of JDK to software transactional memory (STM) and actor-based concurrency. This book is the first to show you all these concurrency styles so you can compare and choose what works best for your applications. You'll learn the benefits of each of these models, when and how to use them, and what their limitations are.
Through hands-on exercises, you'll learn how to avoid shared mutable state and how to write good, elegant, explicit synchronization-free programs so you can create easy and safe concurrent applications. The techniques you learn in this book will take you from dreading concurrency to mastering and enjoying it. Best of all, you can work with Java or a JVM language of your choice - Clojure, JRuby, Groovy, or Scala - to reap the growing power of multicore hardware.
If you are a Java programmer, you'd need JDK 1.5 or later and the Akka 1.0 library. In addition, if you program in Scala, Clojure, Groovy or JRuby you'd need the latest version of your preferred language. Groovy programmers will also need GPars.
These are the proven, effective agile practices that will make you a better developer. You'll learn pragmatic ways of approaching the development process and your personal coding techniques. You'll learn about your own attitudes, issues with working on a team, and how to best manage your learning, all in an iterative, incremental, agile style. You'll see how to apply each practice, and what benefits you can expect. Bottom line: This book will make you a better developer.
Like most complex tasks, .NET programming is fraught with potential costly, and time-consuming hazards. The millions of Microsoft developers worldwide who create applications for the .NET platform can attest to that. Thankfully there's now a book that shows you how to avoid such costly and time-consuming mistakes. It's called .NET Gotchas.The ultimate guide for efficient, pain-free coding, .NET Gotchas from O'Reilly contains 75 common .NET programming pitfalls--and advice on how to work around them. It will help you steer away from those mistakes that cause application performance problems, or so taint code that it just doesn't work right.The book is organized into nine chapters, each focusing on those features and constructs of the .NET platform that consistently baffle developers. Within each chapter are several "gotchas," with detailed examples, discussions, and guidelines for avoiding them. No doubt about it, when applied, these concise presentations of best practices will help you lead a more productive, stress-free existence.What's more, because code examples are written in both VB.NET and C#, .NET Gotchas is of interest to more than 75 percent of the growing numbers of .NET programmers. So if you're a .NET developer who's mired in the trenches and yearning for a better way, this book is most definitely for you.