Docker book designed for SysAdmins, Operations staff, Developers and DevOps who are interested in deploying the open source container service Docker.
In this book, we'll walk you through installing, deploying, managing, and extending Docker. We're going to do that by first introducing you to the basics of Docker and its components. Then we'll start to use Docker to build containers and services to perform a variety of tasks.
We're going to take you through the development life cycle, from testing to production, and see where Docker fits in and how it can make your life easier. We'll make use of Docker to build test environments for new projects, demonstrate how to integrate Docker with continuous integration workflow, and then how to build application services and platforms. Finally, we'll show you how to use Docker's API and how to extend Docker yourself.
We'll teach you how to:
* Install Docker.
* Take your first steps with a Docker container.
* Build Docker images.
* Manage and share Docker images.
* Run and manage more complex Docker containers.
* Deploy Docker containers as part of your testing pipeline.
* Build multi-container applications and environments.
* Learn about orchestration using Compose and Swarm for the orchestration of Docker containers and Consul for service discovery.
* Explore the Docker API.
* Getting Help and Extending Docker.
All the knowledge you need to pass the new A+ exam
A+ is the gateway certification into many IT careers and can be essential in order to start your occupation off on the right foot in the exciting and rapidly expanding field of information technology. Luckily, the 9 minibooks inCompTIA A+ Certification All-in-One For Dummies make it easier to prepare for this all-important exam so you can pass with flying colors! It quickly and easily gets you up to speed on everything from networking and computer repair to troubleshooting, security, permissions, customer service—and everything in between.
The CompTIA A+ test is a rigorous exam, but the experts who wrote this book know exactly what you need to understand in order to help you reach your certification goal. Fully updated for the latest revision of the exam, this comprehensive guide covers the domains of the exam in detail, reflecting the enhanced emphasis on hardware and new Windows content, as well as the nuts and bolts, like operating system basics, recovering systems, securing systems, and more.Find new content on Windows 8, Mac OS X, Linux, and mobile devicesGet test-taking advice for the big dayPrepare for the A+ exam with a review of the types of questions you'll see on the actual testUse the online test bank to gauge your knowledge—and find out where you need more study help
With the help of this friendly, hands-on guide, you'll learn everything necessary to pass the test, and more importantly, to succeed in your job!
Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.
This book covers:Python data model: understand how special methods are the key to the consistent behavior of objectsData structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode ageFunctions as objects: view Python functions as first-class objects, and understand how this affects popular design patternsObject-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritanceControl flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packagesMetaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates