Databricks Certified Associate Developer for Apache Spark Using Python. The ultimate guide to getting certified in Apache Spark using practical examples with Python

Saba Shah, Rod Waltermann

Spark has become a de facto standard for big data processing. Migrating data processing to Spark saves resources, streamlines your business focus, and modernizes workloads, creating new business opportunities through Spark’s advanced capabilities. Written by a senior solutions architect at Databricks, with experience in leading data science and data engineering teams in Fortune 500s as well as startups, this book is your exhaustive guide to achieving the Databricks Certified Associate Developer for Apache Spark certification on your first attempt.You’ll explore the core components of Apache Spark, its architecture, and its optimization, while familiarizing yourself with the Spark DataFrame API and its components needed for data manipulation. You’ll also find out what Spark streaming is and why it’s important for modern data stacks, before learning about machine learning in Spark and its different use cases. What’s more, you’ll discover sample questions at the end of each section along with two mock exams to help you prepare for the certification exam.By the end of this book, you’ll know what to expect in the exam and gain enough understanding of Spark and its tools to pass the exam. You’ll also be able to apply this knowledge in a real-world setting and take your skillset to the next level.

Building Microservices with Node.js. Explore microservices applications and migrate from a monolith architecture to microservices

Daniel Kapexhiu

– Immerse yourself in the world of microservices with this guide to migration from a monolithic architecture to microservices. – With this book, you’ll acquire a deep understanding of microservices architecture and apply it confidently in your web application projects. – As you progress, you’ll be guided through the process of creating a simple application and incorporating the Node.js framework into it, along with its commonly used libraries. – You’ll learn how the framework operates, how to configure it, and how to develop handlers for the web framework and explore how to deploy your application to a production server. – Get to grips with the intricacies of JavaScript and Node.js and find out how to approach microservices in Node.js, implement them effectively, and integrate RESTful APIs. – Gain insights into service-to-service authentication and authorization and learn how to work with databases and caching, as well as with monitoring and logging in microservices with Node.js. – By the end of this microservices book, you’ll be able to develop a web app using the Node.js framework, configure it, extend it using libraries available for this framework, and launch it using best practices.

Learning jqPlot. Learn how to create your very own rich and intuitive JavaScript data visualizations using jqPlot

Scott Gottreu

Mastering Ansible. Design, develop, and solve real world automation and orchestration needs by unlocking the automation capabilities of Ansible

Adam Miller, Subhankar Sengupta, Jesse Keating

Selenium Design Patterns and Best Practices. Build a powerful, stable, and automated test suite using Selenium WebDriver

Dima Kovalenko

Android Studio Arctic Fox Essentials - Kotlin Edition. Develop Android apps with Android Studio Arctic Fox in Kotlin

Neil Smyth

Android Studio is an Integrated Development Environment based on the JetBrains IntelliJ IDEA. It offers developers a unique platform to design and develop Android apps using various developer tools. Fully updated for Android Studio Arctic Fox, the goal of this book is to teach the skills necessary to develop Android-based applications using the Kotlin programming language.This book begins with an outline of the steps necessary to set up an Android development and testing environment, followed by an introduction to programming in Kotlin which includes data types, control flow, functions, lambdas, and object-oriented programming. An overview of Android Studio covers areas such as tool windows, the code editor, and the layout editor tool. An introduction to the architecture of Android is followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment.Early chapters detail Android architecture components such as view models, lifecycle management, Room database access, the Database Inspector, app navigation, live data, and data binding. More advanced topics such as intents are also covered, as are touch screen handling, gesture recognition, and the recording and playback of audio. This edition of the book also covers printing, transitions, cloud-based file storage, and foldable device support.The concepts of material design are also discussed in detail, including the use of floating action buttons, Snackbars, tabbed interfaces, card views, navigation drawers, and collapsing toolbars. Other key features of Android Studio Arctic Fox and Android taught in this book include the Layout Editor, the ConstraintLayout and ConstraintSet classes, MotionLayout Editor, view binding, constraint chains, barriers, and direct reply to notifications. Chapters also explore more advanced features of Android Studio such as app links, dynamic delivery, Gradle build configuration, and submitting apps to the Google Play developer console.

Machine Learning for Emotion Analysis in Python. Build AI-powered tools for analyzing emotion using natural language processing and machine learning

Allan Ramsay, Tariq Ahmad

Artificial intelligence and machine learning are the technologies of the future, and this is the perfect time to tap into their potential and add value to your business. Machine Learning for Emotion Analysis in Python helps you employ these cutting-edge technologies in your customer feedback system and in turn grow your business exponentially. With this book, you’ll take your foundational data science skills and grow them in the exciting realm of emotion analysis. By following a practical approach, you’ll turn customer feedback into meaningful insights assisting you in making smart and data-driven business decisions.The book will help you understand how to preprocess data, build a serviceable dataset, and ensure top-notch data quality. Once you’re set up for success, you’ll explore complex ML techniques, uncovering the concepts of deep neural networks, support vector machines, conditional probabilities, and more. Finally, you’ll acquire practical knowledge using in-depth use cases showing how the experimental results can be transformed into real-life examples and how emotion mining can help track short- and long-term changes in public opinion. By the end of this book, you’ll be well-equipped to use emotion mining and analysis to drive business decisions.

Getting Started with NativeScript. Explore the possibility of building truly native, cross-platform mobile applications using your JavaScript skill—NativeScript!

Nathanael J. Anderson

NativeScript allows you to build a fast cross-platform application that has a native UI. NativeScript is a true cross-platform framework that generates native speed applications using the native components of the host platform, all using JavaScript. Although NativeScript allows you to build your application in JavaScript, you have full access to the host OS from your code, allowing you to easily tweak or use new platform features instantly at native code speeds.Whether you have already developed multiple applications or zero applications, this book will help you to develop your next application in a cross-platform framework quickly, saving you a massive amount of time and money.This book concisely shows you NativeScript’s built-in framework that allows you to rapidly develop a fully-working compiled cross-platform application in just a few chapters. It starts by laying the foundation of NativeScript and working through the fundamentals to create a basic shell of the application. Moving on, you’ll see how to build a full-fledged application step by step. We’ll show you how to use plugins, and how to communicate with the native OS libraries easily so that you can customize your application as if your app was created in Java or Objective C. We then deal with the issues that arise from being cross platform and compensate for the different screen sizes, screen resolutions, and device abilities. Finally, we progress to testing and deploying your app.