Terraform Cookbook. Efficiently define, launch, and manage Infrastructure as Code across various cloud platforms

Mikael Krief, Mitchell Hashimoto

HashiCorp Configuration Language (HCL) has changed how we define and provision a data center infrastructure with the launch of Terraform—one of the most popular and powerful products for building Infrastructure as Code. This practical guide will show you how to leverage HashiCorp's Terraform tool to manage a complex infrastructure with ease.Starting with recipes for setting up the environment, this book will gradually guide you in configuring, provisioning, collaborating, and building a multi-environment architecture. Unlike other books, you’ll also be able to explore recipes with real-world examples to provision your Azure infrastructure with Terraform. Once you’ve covered topics such as Azure Template, Azure CLI, Terraform configuration, and Terragrunt, you’ll delve into manual and automated testing with Terraform configurations. The next set of chapters will show you how to manage a balanced and efficient infrastructure and create reusable infrastructure with Terraform modules. Finally, you’ll explore the latest DevOps trends such as continuous integration and continuous delivery (CI/CD) and zero-downtime deployments.By the end of this book, you’ll have developed the skills you need to get the most value out of Terraform and manage your infrastructure effectively.

Extending Dynamics 365 Finance and Operations Apps with Power Platform. Integrate Power Platform solutions to maximize the efficiency of your Finance & Operations projects

Adria Ariste Santacreu

Uncover the synergy between Microsoft Power Platform and its integration with Dynamics 365 Finance & Operations (F&O) with this essential guide to implementing low-code and no-code concepts to not only extend and enhance F&O but also improve maintainability and speed up development.Systematically exploring Power Platform, this book covers topics such as Dataverse, Power Automate, Power Apps, and Power BI using real-world scenarios in Dynamics 365 F&O to offer practical insights. You’ll then master the integration of F&O and Power Platform using dual-write and virtual tables, and delve into process automation with Power Automate. The book further deepens your proficiency in Power Apps by showing you how they can be used to extend the F&O functionality and incorporate artificial intelligence using AI Builder and its pre-trained AI models ready to use with your data. Throughout, you’ll gain a solid understanding of the diverse components of Power Platform and how they can transform your Dynamics 365 F&O experience.By the end of this book, you’ll be equipped with the skills and knowledge necessary to fully harness the immense potential of Power Platform and Dynamics 365 F&O.

Applied Supervised Learning with R. Use machine learning libraries of R to build models that solve business problems and predict future trends

Karthik Ramasubramanian, Jojo Moolayil

R provides excellent visualization features that are essential for exploring data before using it in automated learning.Applied Supervised Learning with R helps you cover the complete process of employing R to develop applications using supervised machine learning algorithms for your business needs. The book starts by helping you develop your analytical thinking to create a problem statement using business inputs and domain research. You will then learn different evaluation metrics that compare various algorithms, and later progress to using these metrics to select the best algorithm for your problem. After finalizing the algorithm you want to use, you will study the hyperparameter optimization technique to fine-tune your set of optimal parameters. The book demonstrates how you can add different regularization terms to avoid overfitting your model.By the end of this book, you will have gained the advanced skills you need for modeling a supervised machine learning algorithm that precisely fulfills your business needs.

Clean Code in C#. Refactor your legacy C# code base and improve application performance by applying best practices

Jason Alls

Traditionally associated with developing Windows desktop applications and games, C# is now used in a wide variety of domains, such as web and cloud apps, and has become increasingly popular for mobile development. Despite its extensive coding features, professionals experience problems related to efficiency, scalability, and maintainability because of bad code. Clean Code in C# will help you identify these problems and solve them using coding best practices.The book starts with a comparison of good and bad code, helping you understand the importance of coding standards, principles, and methodologies. You’ll then get to grips with code reviews and their role in improving your code while ensuring that you adhere to industry-recognized coding standards. This C# book covers unit testing, delves into test-driven development, and addresses cross-cutting concerns. You’ll explore good programming practices for objects, data structures, exception handling, and other aspects of writing C# computer programs. Once you’ve studied API design and discovered tools for improving code quality, you’ll look at examples of bad code and understand which coding practices you should avoid.By the end of this clean code book, you’ll have the developed skills you need in order to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code.

Apache Spark for Data Science Cookbook. Solve real-world analytical problems

Padma Priya Chitturi

Spark has emerged as the most promising big data analytics engine for data science professionals. The true power and value of Apache Spark lies in its ability to execute data science tasks with speed and accuracy. Spark’s selling point is that it combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. It lets you tackle the complexities that come with raw unstructured data sets with ease. This guide will get you comfortable and confident performing data science tasks with Spark. You will learn about implementations including distributed deep learning, numerical computing, and scalable machine learning. You will be shown effective solutions to problematic concepts in data science using Spark’s data science libraries such as MLLib, Pandas, NumPy, SciPy, and more. These simple and efficient recipes will show you how to implement algorithms and optimize your work.

Enterprise Security: A Data-Centric Approach to Securing the Enterprise. A guide to applying data-centric security concepts for securing enterprise data to enable an agile enterprise

Aaron Woody

Enterprise security redefined using a data-centric approach and trust models to transform information security into a business enablement process. It is a unique and forward thinking approach for deciding the best method to secure data in the enterprise, the cloud, and in BYOD environments.Enterprise Security: A Data-Centric Approach to Securing the Enterprise will guide you through redefining your security architecture to be more affective and turn information security into a business enablement process rather than a roadblock. This book will provide you with the areas where security must focus to ensure end-to-end security throughout the enterprise-supporting enterprise initiatives such as cloud and BYOD. Enterprise Security: A Data-Centric Approach to Securing the Enterprise will first introduce the reader to a new security architecture model and then explores the must have security methods and new tools that can used to secure the enterprise.This book will take a data-centric approach to securing the enterprise through the concept of Trust Models and building a layered security implementation focused on data. This is not your traditional security book focused on point solutions and the network aspect of security. This book combines best practice methods with new methods to approach enterprise security and how to remain agile as the enterprise demands more access to data from traditionally untrusted assets, hosted solutions, and third parties. Applied Information Security - A Data-Centric Approach to Securing the Enterprise will provide the reader an easy-to-follow flow from architecture to implementation, diagrams and recommended steps, and resources for further research and solution evaluation.This book is a reference and guide for all levels of enterprise security programs that have realized that non-data centric security is no longer practical and new methods must be used to secure the most critical assets in the enterprise.

Game Programming Using Qt: Beginner's Guide. A complete guide to designing and building fun games with Qt and Qt Quick 2 using associated toolsets

Lorenz Haas, Witold Wysota, Witold Wysota, Lorenz Haas

Qt is the leading cross-platform toolkit for all significant desktop, mobile, and embedded platforms and is becoming more popular by the day, especially on mobile and embedded devices. Despite its simplicity, it's a powerful tool that perfectly fits game developers’ needs. Using Qt and Qt Quick, it is easy to build fun games or shiny user interfaces. You only need to create your game once and deploy it on all major platforms like iOS, Android, and WinRT without changing a single source file.The book begins with a brief introduction to creating an application and preparing a working environment for both desktop and mobile platforms. It then dives deeper into the basics of creating graphical interfaces and Qt core concepts of data processing and display before you try creating a game. As you progress through the chapters, you’ll learn to enrich your games by implementing network connectivity and employing scripting. We then delve into Qt Quick, OpenGL, and various other tools to add game logic, design animation, add game physics, and build astonishing UI for the games. Towards the final chapters, you’ll learn to exploit mobile device features such as accelerators and sensors to build engaging user experiences. If you are planning to learn about Qt and its associated toolsets to build apps and games, this book is a must have.

Windows Terminal Tips, Tricks, and Productivity Hacks. Optimize your command-line usage and development processes with pro-level techniques

Will Fuqua, Carlos Zamora

Windows Terminal is a new and open-source command-line application for Windows 10, built for the Command Prompt, PowerShell, Windows Subsystem for Linux, and more. It's fast, modern, and configurable thanks to its GPU-accelerated rendering, excellent UTF-8 support, and JSON-based configurability, and this book can help you learn how to leverage these features.You’ll start by learning the benefits of Windows Terminal and its open-source development, as well as how to use the built-in tabs, panes, and key bindings to build your own efficient terminal workflows. After you’ve mastered Windows Terminal, this book shows how to use and configure PowerShell Core and the Windows Subsystem for Linux within Windows Terminal. You’ll maximize your productivity using powerful tools such as PSReadLine for PowerShell and ZSH on Linux, and discover useful tips and tricks for common developer tools like Git and SSH. Finally, you’ll see how Windows Terminal can be used in common development and DevOps tasks, such as developing frontend JavaScript applications and backend REST APIs, and managing cloud-based systems like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.By the end of this book, you'll not only be well-versed with Windows Terminal, but also have learned how to effectively use shells like PowerShell Core and ZSH to become proficient at the command line.