DevOps for Networking. Bringing Network Automation into DevOps culture

Steven Armstrong

Frustrated that your company’s network changes are still a manual set of activities that slow developers down? It doesn’t need to be that way any longer, as this book will help your company and network teams embrace DevOps and continuous delivery approaches, enabling them to automate all network functions.This book aims to show readers network automation processes they could implement in their organizations. It willteach you the fundamentals of DevOps in networking and how to improve DevOps processes and workflows by providing automation in your network. You will be exposed to various networking strategies that are stopping your organization from scaling new projects quickly.You will see how SDN and APIs are influencing DevOps transformations, which will in turn help you improve the scalability and efficiency of your organizations networks operations. You will also find out how to leverage variousconfiguration management tools such as Ansible, to automate your network.The book will also look at containers and the impact they are having on networking as well as looking at howautomation impacts network security in a software-defined network.

Machine Learning for the Web. Gaining insight and intelligence from the internet with Python

Andrea Isoni

Python is a general purpose and also a comparatively easy to learn programming language. Hence it is the language of choice for data scientists to prototype, visualize, and run data analyses on small and medium-sized data sets. This is a unique book that helps bridge the gap between machine learning and web development. It focuses on the difficulties of implementing predictive analytics in web applications. We focus on the Python language, frameworks, tools, and libraries, showing you how to build a machine learning system. You will explore the core machine learning concepts and then develop and deploy the data into a web application using the Django framework. You will also learn to carry out web, document, and server mining tasks, and build recommendation engines. Later, you will explore Python’s impressive Django framework and will find out how to build a modern simple web app with machine learning features.

Scala for Data Science. Leverage the power of Scala with different tools to build scalable, robust data science applications

Pascal Bugnion

Scala is a multi-paradigm programming language (it supports both object-oriented and functional programming) and scripting language used to build applications for the JVM. Languages such as R, Python, Java, and so on are mostly used for data science. It is particularly good at analyzing large sets of data without any significant impact on performance and thus Scala is being adopted by many developers and data scientists. Data scientists might be aware that building applications that are truly scalable is hard. Scala, with its powerful functional libraries for interacting with databases and building scalable frameworks will give you the tools to construct robust data pipelines.This book will introduce you to the libraries for ingesting, storing, manipulating, processing, and visualizing data in Scala.Packed with real-world examples and interesting data sets, this book will teach you to ingest data from flat files and web APIs and store it in a SQL or NoSQL database. It will show you how to design scalable architectures to process and modelling your data, starting from simple concurrency constructs such as parallel collections and futures, through to actor systems and Apache Spark. As well as Scala’s emphasis on functional structures and immutability, you will learn how to use the right parallel construct for the job at hand, minimizing development time without compromising scalability. Finally, you will learn how to build beautiful interactive visualizations using web frameworks.This book gives tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed with building data science and data engineering solutions.

Mastering Adobe Photoshop Elements 2020. Supercharge your image editing using the latest features and techniques in Photoshop Elements - Second Edition

Robin Nichols

Adobe Photoshop Elements is a raster graphics editor for entry-level photographers, image editors, and hobbyists. Updated and improved to cover the latest features of Photoshop Elements 2020, this second edition includes focused coverage of Adobe's new AI-powered features that are designed to make the editing process more efficient, creative and fun.This book takes you through the complexities of image editing in easy-to-follow, bite-sized chunks, helping you to quickly recognize the editing challenge at hand and use suitable tools and techniques to overcome it. You’ll start by learning how to import, organize, manage, edit, and use your pictures in a format that’s designed for creative photography projects. Throughout this Adobe Photoshop Elements book, you'll discover how to fix different photographic problems using an extensive repertoire of commonly applied solutions. Common processes such as applying artistic effects to creative projects, custom image makeovers, processing images for social media, and other file export methods will also be covered.By the end of this book, you’ll have learned about the impressive tools available in Photoshop Elements 2020, and how it is designed not only for photographers who’d like to dip their toes into the editing world, but also for those wanting simple but effective ideas on how to expand their creativity while remaining time-efficient.

Django 2 Web Development Cookbook. 100 practical recipes on building scalable Python web apps with Django 2 - Third Edition

Jake Kronika, Aidas Bendoraitis

Django is a framework designed to balance rapid web development with high performance. It handles high levels of user traffic and interaction, integrates with a variety of databases, and collects and processes data in real time. This book follows a task-based approach to guide you through developing with the Django 2.1 framework, starting with setting up and configuring Docker containers and a virtual environment for your project.You'll learn how to write reusable pieces of code for your models and manage database changes. You'll work with forms and views to enter and list data, applying practical examples using templates and JavaScript together for the optimum user experience. This cookbook helps you to adjust the built-in Django administration to fit your needs and sharpen security and performance to make your web applications as robust, scalable, and dependable as possible. You'll also explore integration with Django CMS, the popular content management suite.In the final chapters, you'll learn programming and debugging tricks and discover how collecting data from different sources and providing it to others in various formats can be a breeze. By the end of the book, you'll learn how to test and deploy projects to a remote dedicated server and scale your application to meet user demands.

Android Design Patterns and Best Practice. Create reliable, robust, and efficient Android apps with industry-standard design patterns

Kyle Mew

Are you an Android developer with some experience under your belt? Are you wondering how the experts create efficient and good-looking apps? Then your wait will end with this book! We will teach you about different Android development patterns that will enable you to write clean code and make your app stand out from the crowd. The book starts by introducing the Android development environment and exploring the support libraries. You will gradually explore the different design and layout patterns and get to know the best practices of how to use them together. Then you’ll then develop an application that will help you grasp activities, services, and broadcasts and their roles in Android development. Moving on, you will add user-detecting classes and APIs such as gesture detection, touch screen listeners, and sensors to your app. You will also learn to adapt your app to run on tablets and other devices and platforms, including Android Wear, auto, and TV. Finally, you will see how to connect your app to social media and explore deployment patterns as well as the best publishing and monetizing practices.The book will start by introducing the Android development environment and exploring the support libraries. You will gradually explore the different Design and layout patterns and learn the best practices on how to use them together. You will then develop an application that will help you grasp Activities, Services and Broadcasts and their roles in Android development. Moving on, you will add user detecting classes and APIs such as at gesture detection, touch screen listeners and sensors to our app. You will also learn to adapt your app to run on tablets and other devices and platforms, including Android Wear, Auto, and TV. Finally, you will learn to connect your app to social media and explore deployment patterns and best publishing and monetizing practices.

Mastering Go. Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures - Second Edition

Mihalis Tsoukalos

Often referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition.Mastering Go, Second Edition shows how to put Go to work on real production systems. For programmers who already know the Go language basics, this book provides examples, patterns, and clear explanations to help you deeply understand Go’s capabilities and apply them in your programming work.The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more. Each chapter ends with exercises and resources to fully embed your new knowledge.This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural networks, and anomaly detection. Other chapters are expanded to cover using Go with Docker and Kubernetes, Git, WebAssembly, JSON, and more.If you take the Go programming language seriously, the second edition of this book is an essential guide on expert techniques.

Google Workspace User Guide. A practical guide to using Google Workspace apps efficiently while integrating them with your data

Balaji Iyer, Abhi Jeevaganambi

Google Workspace has evolved from individual Google services to a suite of apps that improve productivity and promote efficient collaboration in an enterprise organization.This book takes you through the evolution of Google Workspace, features included in each Workspace edition, and various core services, such as Cloud Identity, Gmail, and Calendar. You’ll explore the functionality of each configuration, which will help you make informed decisions for your organization. Later chapters will show you how to implement security configurations that are available at different layers of Workspace and also how Workspace meets essential enterprise compliance needs. You’ll gain a high-level overview of the core services available in Google Workspace, including Google Apps Script, AppSheet, and Google Cloud Platform. Finally, you’ll explore the different tools Google offers when you’re adopting Google Cloud and migrating your data from legacy mail servers or on-premises applications over to cloud servers.By the end of this Google Workspace book, you’ll be able to successfully deploy Google Workspace, configure users, and migrate data, thereby helping with cloud adoption.