Windows Subsystem for Linux 2 (WSL 2) Tips, Tricks, and Techniques. Maximise productivity of your Windows 10 development machine with custom workflows and configurations

Stuart Leeks

Windows Subsystem for Linux (WSL) allows you to run native Linux tools alongside traditional Windows applications. Whether you’re developing applications across multiple operating systems or looking to add more tools to your Windows environment, WSL offers endless possibilities.You’ll start by understanding what WSL is and learn how to install and configure WSL along with different Linux distros. Next, you'll learn techniques that allow you to work across both Windows and Linux environments. You’ll discover how to install and customize the new Windows Terminal. We'll also show you how to work with code in WSL using Visual Studio Code (VS Code). In addition to this, you’ll explore how to work with containers with Docker and Kubernetes, and how to containerize a development environment using VS Code.While Microsoft has announced support for GPU and GUI applications in an upcoming release of WSL, at the time of writing these features are either not available or only in early preview releases. This book focuses on the stable, released features of WSL and giving you a solid understanding of the amazing techniques that you can use with WSL today.By the end of this book, you’ll be able to configure WSL and Windows Terminal to suit your preferences, and productively use Visual Studio Code for developing applications with WSL.

Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition

Devin Knight, Erin Ostrowsky, Mitchell Pearson, Bradley Schacht

Updated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You’ll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI.Throughout this book, you’ll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You’ll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there’s an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling.As you progress, you’ll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You’ll learn how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented.By the end of this Power BI book, you’ll know how to get the most out of Power BI for better business intelligence.

Blender 3D Basics. The complete novice's guide to 3D modeling and animation

Gordon Fisher, Ton Roosendaal

Blender is by far the most popular open source graphics program available. It is a full featured 3D modeling, animation and games development tool used by millions all over the world ñ and it's free! This book is for those looking for an entry into the world of 3D modeling and animation regardless of prior experience.Blender 3D Basics is the entry level book for those without prior experience using 3D tools. It caters for those who may have downloaded Blender in the past but were frustrated by its lack of intuitiveness. Using simple steps it builds, chapter by chapter, into a full foundation in 3D modeling and animation.Using Blender 3D Basics the reader will model a maritime scene complete with boats and water, then add materials, lighting and animation. The book demystifies the Blender interface and explains what each tool does so that you will be left with a thorough understanding of 3D.

Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material

Harry Cooney, Daisy Jones

The Tableau Certified Data Analyst certification validates the essential skills needed to explore, analyze, and present data, propelling your career in data analytics. Whether you're a seasoned Tableau user or just starting out, this comprehensive resource is your roadmap to mastering Tableau and achieving certification success.The book begins by exploring the fundamentals of data analysis, from connecting to various data sources to transforming and cleaning data for meaningful insights. With practical exercises and realistic mock exams, you'll gain hands-on experience that reinforces your understanding of Tableau concepts and prepares you for the challenges of the certification exam.As you progress, expert guidance and clear explanations make it easy to navigate complex topics as each chapter builds upon the last, providing a seamless learning experience—from creating impactful visualizations to managing content on Tableau Cloud.Written by a team of experts, this Tableau book not only helps you pass the certification exam but also equips you with the skills and confidence needed to excel in your career. It is an indispensable resource for unlocking the full potential of Tableau.

Terraform for Google Cloud Essential Guide. Learn how to provision infrastructure in Google Cloud securely and efficiently

Bernd Nordhausen

Google Cloud has adopted Terraform as the standard Infrastructure as Code tool. This necessitates a solid understanding of Terraform for any cloud architect or engineer working on Google Cloud. Yet no specific resources are available that focus on how to use Terraform on Google Cloud.This is the first book that teaches Terraform specifically for Google Cloud. You will take a journey from the basic concepts through to deploying complex architectures using Terraform. Using extensive code examples, you will receive guidance on how to authenticate Terraform in Google Cloud. As you advance, you’ll get to grips with all the essential concepts of the Terraform language as applied to Google Cloud and deploy complete working architectures at the push of a button. Finally, you’ll also be able to improve your Terraform workflow using Google Cloud native and third-party tools.By the end of this Terraform book, you will have gained a thorough understanding of Terraform and how to use it on Google Cloud, and be able to develop effective Terraform code, build reusable code, and utilize public domain Terraform modules to deploy on Google Cloud faster and more securely.

Machine Learning with Go Quick Start Guide. Hands-on techniques for building supervised and unsupervised machine learning workflows

Michael Bironneau, Toby Coleman

Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go.The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced.The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum.The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring.At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones.

Managing Data Science. Effective strategies to manage data science projects and build a sustainable team

Kirill Dubovikov

Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis.

The Ins and Outs of Azure VMware Solution. Deploy, configure, and manage an Azure VMware Solution environment

Dr. Kevin Jellow D.H.L (h.c)

Organizations over the world are migrating partially or fully to the cloud, but with the whole slew of providers, tools, and platforms available, knowing where to start can be quite challenging. If you know Microsoft Azure VMware Solution, you know it is the quickest way to migrate to the cloud without needing application modernization or rework. You can retain the same VMware tools to manage your environment while moving to Azure. But how does it work? The Ins and Outs of Azure VMware Solution has the answer.This high-level, comprehensive yet concise guide to Azure VMware Solution starts by taking you through the architecture and its applicable use cases. It will help you hit the ground running by getting straight to the important steps: planning, deploying, configuring, and managing your Azure VMware Solution instance. You’ll be able to extend your existing knowledge of Azure and VMware by covering advanced topics such as SRM and governance, setting up a hybrid connection to your on-premises datacenter, and scaling up using disk pools.By the end of the VMware book, you’ll have gone over everything you need to transition to the cloud with ease using Azure VMware Solution.