Learning Docker Second Edition Book Pdf
As in-demand as it may be, getting started can seem a bit intimidating at first. So in this book, we'll be learning everything from the basics to a more intermediate level of containerization. After going through the entire book, you should be able to:
Learning Docker Second Edition Book Pdf
This book has been created considering the issues that a beginner faces while learning a new technology. This book focusses mainly on the commands and the practical aspects of the technology.Docker is a great technology and is in demand and thus this book helps the reader to understand and learn the technology in a very simple and smooth manner. The book tries to cover almost all the practice cases, errors and difficulties that a beginner faces while learning.
Designed to help developers understand Docker containers from scratch, this book takes you through the best practices. It provides insights on how to make a deployment workflow run smoothly and how to use docker tools. By the end of the book, you will be able to work with container-driven environments and use Docker proficiently.
The books listed here simplify the process of learning Docker. Since being able to deploy and manage a container is slowly becoming an in-demand skill for software developers, taking the time to learn it is more than worthwhile.
The second edition, much like the first edition, targets people who are new to containerization and want a guided approach to containerizing their application. I start with setting up a Python telegram bot, building and running it as a program, and then continue containerizing the same bot, starting with steps to build the Dockerfile, adding volumes for persisting the data, setting up Docker networks for container networking, and finally multi-container orchestration with Docker Compose.
I hope the second edition is a value add and you like it as much as I enjoyed writing it. Feedback, of course, is always welcome. My Twitter DMs are always open, or you can reach out to me on the channels mentioned in the contact page.
You can buy the book from your favorite online or physical store. The ISBN-13 codes are 9781484261309 for the Paperback edition and 9781484261316 for the e-book version. Here are some links to popular online stores:
Major updates in this edition include chapters covering advanced topics such as alternative sources of user input, procedural content generation, and advanced graphics. Appendices containing examples for game design documentation and a complete JavaDoc style listing of the extension classes developed in the book have also been added.
By learning from the examples and case studies present in these books, you can gain a greater understanding on how to put Docker to work in your own environment. In short, reading books to learn Docker is an essential part of keeping up with this ever-changing technology.
Throughout the book, Poulton provides clear explanations and plenty of hands-on examples to help you really understand how Docker works. As a result, Docker Deep Dive is an excellent choice if you're looking for a comprehensive guide to learning Docker.
If you're serious about learning Docker, then there's no better book than Docker: Up & Running. Written by two experienced writers i.e. Sean Kane and Karl Matthias, the book provides a detailed and comprehensive guide to everything you need to know about Docker.
Not only does this book go into the theory behind Docker, but it also provides plenty of practical examples to help you get started immediately. In addition, the second edition has been updated to include new features and capabilities that have been introduced since the first edition was published.
The ultimate book for learning Docker. Deep theory and lots of hands-on labs so that you get a solid understanding. Lots of clear diagrams. Now covers all objectives on the Docker Certified Associate (DCA) exam.
This book introduces you to Kubernetes, a cluster management system from Google that's capable of scheduling and launching roughly 7,000 containers a second. It explains piece-by-piece how this system works.
This book is your guide to learning Kubernetes and leveraging its many capabilities for developing, validating, and maintaining your applications. It explains how Kubernetes fits into the lifecycle of a distributed application.
eBook Details: Paperback: 257 pages Publisher: WOW! eBook; 2nd edition (November 28, 2021) Language: English ISBN-10: 1484278143 ISBN-13: 978-1484278147 eBook Description: Practical Docker with Python: Build, Release, and Distribute Your Python App with Docker, 2nd Edition Learn the fundamentals of containerization and get acquainted with Docker. This Practical Docker with Python, 2nd Edition builds upon the foundation of the first book by revising all the chapters, updating the commands, code, and examples to meet the changes in Docker. It also introduces a new chapter on setting up your application for production deployment and breaks down terminologies like Dockerfile and Docker volumes while taking you on a guided...
eBook Details: Paperback: 334 pages Publisher: WOW! eBook (December 4, 2021) Language: English ISBN-10: 1484273850 ISBN-13: 978-1484273852 eBook Description: Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques Leverage machine learning and deep learning techniques to build fully-fledged natural language processing (NLP) projects. Projects throughout this book grow in complexity and showcase methodologies, optimizing tips, and tricks to solve various business problems. You will use modern Python libraries and algorithms to build end-to-end NLP projects. The Natural Language Processing Projects book starts with an overview of natural language processing (NLP) and artificial intelligence to provide a quick refresher on algorithms. Next, it covers end-to-end...
eBook Details: Paperback: 312 pages Publisher: WOW! eBook; 2nd edition (August 26, 2021) Language: English ISBN-10: 1484273508 ISBN-13: 978-1484273500 eBook Description: Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python, 2nd Edition Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment analysis, information retrieval, and many more applications of NLP. The Natural Language Processing Recipes, 2nd Edition book begins with text data collection, web scraping, and the different types of data...