Do you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free data science web browser-based product for educational and non-commercial purposes. The power of SAS Studio comes from its visual point-and-click user interface that generates SAS code. It is easier to learn SAS Studio than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks. The book includes a case study about analyzing the data required for predicting the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples including analyzing stocks, oil and gold prices, crime, marketing, and healthcare. You will see data science in action and how easy it is to perform complicated tasks and visualizations in SAS Studio. You will learn, step-by-step, how to do visualizations, including maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks. The book introduces you to multiple SAS products such as SAS Viya, SAS Analytics, and SAS Visual Statistics. What You Will Learn Become familiar with SAS Studio IDE Understand essential visualizations Know the fundamental statistical analysis required in most data science and analytics reports Clean the most common data set problems Use linear progression for data prediction Write programs in SAS Get introduced to SAS-Viya, which is more potent than SAS studio Who This Book Is For A general audience of people who are new to data science, students, and data analysts and scientists who are experienced but new to SAS. No programming or in-depth statistics knowledge is needed.

Harness the power of Docker by containerizing your code with all its libraries and file systems to consistently run anywhere. This book is your source for learning all about Docker operations and development. It's divided into two units and focuses on the topics that the Docker Certified Associate exam covers. Unit 1 covers the Docker fundamentals, such as Docker Enterprise for Operations, Docker Enterprise for Developers, Swarm, and an introduction to Kubernetes. You will learn how to install Docker Community Edition, Docker Enterprise Edition with Kubernetes and CLI. Also, you will learn the Docker cycle, container lifecycle, develop applications in any language, wrap, build, ship, and deploy them for production. Finally, you will learn how to create a Swarm cluster, deploy an app to it, and manage it with the best practices according to the current technologies. Unit 2 provides quizzes to help you prepare for the certification test. The DCA exam format and the question style has changed since Mirantis acquired Docker. To accommodate this, the quizzes mirror these changes. What You'll Learn Understand the difference between containerization and virtualization Install Docker CE on various platforms and manage the resources Write Dockerfile, Docker Compose YAML, and Kubernetes manifest YAML files Compare microservices and monolithic applications Containerize monolithic applications Who This Book Is For Software developers, Cloud Architects, and DevOps operation managers.

Get started with Docker on your local machine and progress towards deploying useful applications in production with this simplified, practical guide Key Features Get a working understanding of Docker containers by incorporating them in your development process Complete interesting exercises to learn how to secure and control access of your containers Work with advanced features of Docker to make your development process smoother and reliable Book DescriptionNo doubt Docker Containers are the future of highly-scalable software systems and have cost and runtime efficient supporting infrastructure. But learning it might look complex as it comes with many technicalities. This is where The Docker Workshop will help you. Through this workshop, you'll quickly learn how to work with containers and Docker with the help of practical activities. The workshop starts with Docker containers, enabling you to understand how it works. You'll run third party Docker images and also create your own images using Dockerfiles and multi-stage Dockerfiles. Next, you'll create environments for Docker images, and expedite your deployment and testing process with Continuous Integration. Moving ahead, you'll tap into interesting topics and learn how to implement production-ready environments using Docker Swarm. You'll also apply best practices to secure Docker images and to ensure that production environments are running at maximum capacity. Towards the end, you'll gather skills to successfully move Docker from development to testing, and then into production. While doing so, you'll learn how to troubleshoot issues, clear up resource bottlenecks and optimize the performance of services. By the end of this workshop, you'll be able to utilize Docker containers in real-world use cases. What you will learn Get a solid understanding of how Docker containers work Network Docker images and environments to allow communication between services Build and publish docker images from a CI/CD pipeline Use Docker Swarm to implement production-ready environments Find out how to replace Swarm with Kubernetes clusters Extend your Docker images with Plugins Who this book is forThis is the right learning asset if you are a developer or a beginner who wants to get a practical understanding of Docker containers. If you have experienced in running command shells or knowledge of IntelliJ, atom, or VSCode editors, then you will grasp the topics covered here quickly.

In the folds of this book, will narrate many tales about love and travel. All the travel tales are true ones, will just try to transform the pictures that my eyes saw to words, so you can live with me what I lived. At the end of the book will tell you the usages of the travel that the world taught me. On love... -with a grin- will tell you many tales, some are true ones, some are imagination, some are mix between real and fancy. The mixed stories are stories that I knew parts of them or lived only some scenes of them with the real story heroes. My imagination completed the missing parts that I didn't experience in real life with the true story heroes. Not all love stories are about love between man and woman but many are, and few are talking about other types of love.