Clean Agile: Back to Basics (Robert C. Martin Series) by Robert C. Martin
English | 2019 | ISBN: 0135781868 | 240 Pages | EPUB | 6 MB
Learn Rails the way the Rails core team recommends it, along with the tens of thousands of developers who have used this broad, far-reaching tutorial and reference. If you’re new to Rails, you’ll get step-by-step guidance. If you’re an experienced developer, get the comprehensive, insider information you need for the latest version of Ruby on Rails. The new edition of this award-winning classic is completely updated for Rails 5.1 and Ruby 2.4, with information on system testing, Webpack, and advanced JavaScript.
Write code that can adapt to changes.
By applying this book’s principles, you can create code that accommodates new requirements and unforeseen scenarios without significant rewrites. Gary McLean Hall describes Agile best practices, principles, and patterns for designing and writing code that can evolve more quickly and easily, with fewer errors, because it doesn’t impede change.
Agile Software Development is a highly stimulating and rich book. The author has a deep background and gives us a tour de force of the emerging agile methods. -Tom Gilb
What will you learn from this book?
It’s an exciting time to be agile! Finally, our industry has found a real, sustainable way to solve problems that have perplexed generations of software developers. Agile not only leads to great results, but teams say they also have a much better time at work. Yet . if agile is so great, why isn’t everyone doing it? It turns out that agile can work well for one team and cause serious problems for another. The difference is team mindset. With this brain-friendly guide, you’ll change the way you think about your projects-for the better!
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.
Write code that can adapt to changes.
By applying this book’s principles, you can create code that accommodates new requirements and unforeseen scenarios without significant rewrites. Gary McLean Hall describes Agile best practices, principles, and patterns for designing and writing code that can evolve more quickly and easily, with fewer errors, because it doesn’t impede change.