Learning Groovy and Self-publishing

What is Groovy and why should I care?

Hello again, it's me, Adam. Earlier this year, I finished my self-published book, Learning Groovy, which is about, well, learning Groovy. It also covers the top Groovy-based tools and frameworks, Gradle, Grails, Spock, and Ratpack.

I've enjoyed using Leanpub as a place to work on my books (What's new in Java 8 and others). It is really easy and developer friendly. It uses a Dropbox folder and you can write your book in Markdown (which I did). I've enjoyed a fairly constant trickle of purchases, but I was frustrated that I never had enough time to devote to the other huge part of self-publishing: marketing. To be really successful with a book, it needs to be marketed really well. You need to put in a lot of time and money. So, when it came to publishing "Learning Groovy," I approached several publishers to do the marketing for me.

Luckily, one of them accepted, and I'm currently in the process of final edits (publisher shall remain anonymous for now).

This means that you can only get the self-published version of "Learning Groovy" for a limited time. Once it goes to the publisher, I have to take down all my versions per the contract.

"What is Groovy and why should I care?" you ask? First of all, what rock have you been living under? Secondly, Groovy is a mature and flexible open-source language that runs on the JVM. Want to learn more about functional programming, want optional dynamic typing, easy restful services, easy reactive web applications (Ratpack)? Maybe you to learn about the most popular build framework and testing frameworks for Java (Gradle and Spock)? Groovy is where it's at.

Views: 169

Comment

You need to be a member of Codetown to add comments!

Join Codetown

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems

Sarah Usher discusses the architectural "breaking point" where warehouses like BigQuery struggle with latency and cost. She explains the necessity of a conceptual data lifecycle (Raw, Curated, Use Case) to regain control over lineage and innovation. She shares practical strategies to design a single source of truth that empowers both ML teams and analytics without bottlenecking scale.

By Sarah Usher

Java Explores Carrier Classes to Extend Data-Oriented Programming Beyond Records

The OpenJDK Amber project has published a new design note proposing “carrier classes” and “carrier interfaces” to extend record-style data modeling to more Java types. The proposal preserves concise state descriptions, derived methods, and pattern matching, while relaxing structural constraints that limit records.

By A N M Bazlur Rahman

Vercel Introduces Skills.sh, an Open Ecosystem for Agent Commands

Vercel has released Skills.sh, an open-source tool designed to provide AI agents with a standardized way to execute reusable actions, or skills, through the command line.

By Daniel Dominguez

Agent Trace: Cursor Proposes an Open Specification for AI Code Attribution

Cursor has published Agent Trace, a draft open specification aimed at standardizing how AI-generated code is attributed in software projects. Released as a Request for Comments (RFC), the proposal defines a vendor-neutral format for recording AI contributions alongside human authorship in version-controlled codebases.

By Robert Krzaczyński

Article: From Alert Fatigue to Agent-Assisted Intelligent Observability

As systems grow, observability becomes harder to maintain and incidents harder to diagnose. Agentic observability layers AI on existing tools, starting in read-only mode to detect anomalies and summarize issues. Over time, agents add context, correlate signals, and automate low-risk tasks. This approach frees engineers to focus on analysis and judgment.

By Rohit Dhawan

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service