jQuery Design Patterns. Write Elegant, Structured and Efficient jQuery

Thodoris Greasidis

jQuery is a feature-rich JavaScript library that makes HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a variety of browsers. With a combination of versatility and extensibility, jQuery has changed the way that millions of people write JavaScript.jQuery solves the problems of DOM manipulation, event detection, AJAX calls, element selection and document queries, element attribute and data management, as well as object management utilities. This book addresses these problems and shows you how to make the best of jQuery through the various design patterns available.The book starts off with a refresher to jQuery and will then take you through the different design patterns such as facade, observer, publisher/subscriber, and so on. We will also go into client-side templating techniques and libraries, as well as some plugin development patterns. Finally, we will look into some best practices that you can use to make the best of jQuery.

API Testing and Development with Postman. A practical guide to creating, testing, and managing APIs for automated software testing

Dave Westerveld

Postman enables the exploration and testing of web APIs, helping testers and developers figure out how an API works. With Postman, you can create effective test automation for any APIs. If you want to put your knowledge of APIs to work quickly, this practical guide to using Postman will help you get started.The book provides a hands-on approach to learning the implementation and associated methodologies that will have you up and running with Postman in no time. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book begins by taking you through the principles of effective API testing. A combination of theory coupled with real-world examples will help you learn how to use Postman to create well-designed, documented, and tested APIs. You'll then be able to try some hands-on projects that will teach you how to add test automation to an already existing API with Postman, and guide you in using Postman to create a well-designed API from scratch.By the end of this book, you'll be able to use Postman to set up and run API tests for any API that you are working with.

The DevOps Career Handbook. The ultimate guide to pursuing a successful career in DevOps

John Knight, Nate Swenson

DevOps is a set of practices that make up a culture, and practicing DevOps methods can make developers more productive and easier to work with. The DevOps Career Handbook is filled with hundreds of tips and tricks from experts regarding every step of the interview process, helping you save time and money by steering clear of avoidable mistakes.You’ll learn about the various career paths available in the field of DevOps, before acquiring the essential skills needed to begin working as a DevOps professional. If you are already a DevOps engineer, this book will help you to gain advanced skills to become a DevOps specialist. After getting to grips with the basics, you'll discover tips and tricks for preparing your resume and online profiles and find out how to build long-lasting relationships with the recruiters. Finally, you'll read through interviews which will give you an insight into a career in DevOps from the viewpoint of individuals at different career levels.By the end of this DevOps book, you’ll gain a solid understanding of what DevOps is, the various DevOps career paths, and how to prepare for your interview.

Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples

Andrew McMahon

Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services.Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You'll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you'll work through examples to help you solve typical business problems.By the end of this book, you'll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.

RStudio for R Statistical Computing Cookbook. Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

Andrea Cirillo

The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment.This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you'll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications.

Instant Parallel Processing with Gearman. Learn how to use Gearman to build scalable distributed applications

John Ewart

Many of today's applications need to be able to process large volumes of data, and vertical scaling has its limits both in terms of prohibitive cost and hardware limits. Gearman is an open source job manager that is well-suited to building horizontally scalable systems, from map-reduce algorithms to simple data processors capable of handling massive amounts of information.Instant Gearman is a practical, hands-on guide to getting started with building an open source job management server system that is built to grow. Learn the basics of building a distributed application that spans multiple components and learn how Gearman fits into building an application that scales from one to hundreds of components that interact to process data. With Gearman, you can build software that scales horizontally as your need for computation increases.Instant Gearman has in-depth examples and a step-by-step approach to building distributed systems, helping you to build systems that are scalable and modular in their approach to processing data.Once you are comfortable with building simple workers and clients, learn how to build a cluster of managers and see how to reduce single-point-of-failure in your architecture. Next, build a simple map-reduce application using Gearman and scale it up from a single instance to multiple parallel processing components.

IBM Lotus Quickr 8.5 for Domino Administration. Ensure effective and efficient team collaboration by building a solid social infrastructure with IBM Lotus Quickr 8.5

Keith Brooks, Olusola Omosaiye, Mark Harper, David Byrd, ...

When the IT strategy calls for maximizing the value of social software for building effective teams, neither social networking nor team collaboration is sufficient on its own. Lotus Quickr Team Collaboration software delivers the promise of social software; but ensuring that a business's social networking site is compliant can be daunting. This book will help you ensure effective and efficient team collaboration by building a solid social infrastructure with IBM Lotus Quickr 8.5.The book will familiarize system administrators with all the information they need to install, upgrade, and manage IBM Lotus Quickr 8.5. You will also learn to leverage social software principles to foster diverse teams in an interconnected world. This book will help you break virtual boundaries and remove the impediments to the development of high-performance teams through the use of IBM Lotus Quickr 8.5.This practical book starts off by providing you with a clear, detailed walkthrough of key concepts including collaboration beyond document management, and adopting social collaboration in an enterprise.We then examine the product architecture of Lotus Quickr services and provide a walkthrough of deployment aspects of Lotus Quickr to provide a scalable environment through clustering. We cover some of the basic tools used to set up and manage the IBM Lotus Quickr server along with unique methods for upgrading to the latest 8.5 version. We provide you with an in-depth look at the concepts of Lotus Quickr Connectors deployment, management, and a new capability around Windows-based single sign-on to solve a variety of problems.By the end of this book, you will be able to build a well-executed social collaboration platform that delivers the productivity edge needed to succeed in the digitally interconnected business world of today.

Exploring SE for Android. Discover Security Enhancements (SE) for Android to build your own protected Android-based systems

William Roberts, William Confer