Mastering Veeam Backup & Replication 10. Protect your virtual environment and implement cloud backup using Veeam technology

Chris Childerhose

Veeam is one of the leading modern data protection solutions, and mastering this technology can help you to protect your virtual environments effectively. This book guides you through implementing modern data protection solutions for your cloud and virtual infrastructure with Veeam. You will even gain in-depth knowledge of advanced concepts such as DataLabs, cloud backup and recovery, Instant VM Recovery, and Veeam ONE.This book starts by taking you through Veeam essentials, including installation, best practices, and optimizations for Veeam Backup & Replication. You'll get to grips with the 3-2-1 rule to safeguard data along with understanding how to set up a backup server, proxies, repositories, and more. Later chapters go on to cover a powerful feature of Veeam 10 – NAS backup. As you progress, you'll learn about scale-out Repositories and best practices for creating them. In the concluding chapters, you'll explore the new proxy option available in both Linux and Windows. Finally, you'll discover advanced topics such as DataLabs, cloud backup and recovery, Instant VM Recovery, and Veeam ONE.By the end of this book, you will be equipped with the skills you need to implement Veeam Backup & Replication for your environment and disaster recovery.

Python Data Visualization Cookbook. As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations

Igor Milovanovic

Today, data visualization is a hot topic as a direct result of the vast amount of data created every second. Transforming that data into information is a complex task for data visualization professionals, who, at the same time, try to understand the data and objectively transfer that understanding to others. This book is a set of practical recipes that strive to help the reader get a firm grasp of the area of data visualization using Python and its popular visualization and data libraries.Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts.Python Data Visualization Cookbook starts by showing you how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. During the book, we go from simple plots and charts to more advanced ones, thoroughly explaining why we used them and how not to use them. As we go through the book, we will also discuss 3D diagrams. We will peep into animations just to show you what it takes to go into that area. Maps are irreplaceable for displaying geo-spatial data, so we also show you how to build them. In the last chapter, we show you how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.This book will help those who already know how to program in Python to explore a new field – one of data visualization. As this book is all about recipes that explain how to do something, code samples are abundant, and they are followed by visual diagrams and charts to help you understand the logic and compare your own results with what is explained in the book.

Caffe2 Quick Start Guide. Modular and scalable deep learning made easy

Ashwin Nanjappa

Caffe2 is a popular deep learning library used for fast and scalable training, and inference of deep learning models on different platforms. This book introduces you to the Caffe2 framework and demonstrates how you can leverage its power to build, train, and deploy efficient neural network models at scale.The Caffe 2 Quick Start Guide will help you in installing Caffe2, composing networks using its operators, training models, and deploying models to different architectures. The book will also guide you on how to import models from Caffe and other frameworks using the ONNX interchange format. You will then cover deep learning accelerators such as CPU and GPU and learn how to deploy Caffe2 models for inference on accelerators using inference engines. Finally, you'll understand how to deploy Caffe2 to a diverse set of hardware, using containers on the cloud and resource-constrained hardware such as Raspberry Pi.By the end of this book, you will not only be able to compose and train popular neural network models with Caffe2, but also deploy them on accelerators, to the cloud and on resource-constrained platforms such as mobile and embedded hardware.

Causal Inference and Discovery in Python. Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Aleksander Molak, Ajit Jaokar

Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality.You’ll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal concepts, such as structural causal models, interventions, counterfactuals, and more. Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing towards modern machine learning methods. Step-by-step, you’ll discover Python causal ecosystem and harness the power of cutting-edge algorithms. You’ll further explore the mechanics of how “causes leave traces” and compare the main families of causal discovery algorithms. The final chapter gives you a broad outlook into the future of causal AI where we examine challenges and opportunities and provide you with a comprehensive list of resources to learn more.By the end of this book, you will be able to build your own models for causal inference and discovery using statistical and machine learning techniques as well as perform basic project assessment.

Practical Automated Machine Learning Using H2O.ai. Discover the power of automated machine learning, from experimentation through to deployment to production

Salil Ajgaonkar

With the huge amount of data being generated over the internet and the benefits that Machine Learning (ML) predictions bring to businesses, ML implementation has become a low-hanging fruit that everyone is striving for. The complex mathematics behind it, however, can be discouraging for a lot of users. This is where H2O comes in – it automates various repetitive steps, and this encapsulation helps developers focus on results rather than handling complexities.You’ll begin by understanding how H2O’s AutoML simplifies the implementation of ML by providing a simple, easy-to-use interface to train and use ML models. Next, you’ll see how AutoML automates the entire process of training multiple models, optimizing their hyperparameters, as well as explaining their performance. As you advance, you’ll find out how to leverage a Plain Old Java Object (POJO) and Model Object, Optimized (MOJO) to deploy your models to production. Throughout this book, you’ll take a hands-on approach to implementation using H2O that’ll enable you to set up your ML systems in no time.By the end of this H2O book, you’ll be able to train and use your ML models using H2O AutoML, right from experimentation all the way to production without a single need to understand complex statistics or data science.

Windows APT Warfare. Identify and prevent Windows APT attacks effectively

Sheng-Hao Ma, Ziv Chang, Federico Maggi

An Advanced Persistent Threat (APT) is a severe form of cyberattack that lies low in the system for a prolonged time and locates and then exploits sensitive information. Preventing APTs requires a strong foundation of basic security techniques combined with effective security monitoring. This book will help you gain a red team perspective on exploiting system design and master techniques to prevent APT attacks. Once you’ve understood the internal design of operating systems, you’ll be ready to get hands-on with red team attacks and, further, learn how to create and compile C source code into an EXE program file. Throughout this book, you’ll explore the inner workings of how Windows systems run and how attackers abuse this knowledge to bypass antivirus products and protection.As you advance, you’ll cover practical examples of malware and online game hacking, such as EXE infection, shellcode development, software packers, UAC bypass, path parser vulnerabilities, and digital signature forgery, gaining expertise in keeping your system safe from this kind of malware.By the end of this book, you’ll be well equipped to implement the red team techniques that you've learned on a victim's computer environment, attempting to bypass security and antivirus products, to test its defense against Windows APT attacks.

Learning Angular. A practical guide to building web applications with modern Angular - Fifth Edition

Aristeidis Bampakos, Bonnie Brennan, Pablo Deeleman

Angular is an extremely fast, cross-platform JavaScript framework loved by millions. Learning Angular is a comprehensive introduction to the framework from an experienced Angular developer and Google Developer Expert. You’ll learn the Angular way of development as you build a real-world app from the ground up.Updated for Angular 19, this fifth edition tackles landmark changes in Angular after the “Angular Renaissance”. It covers app creation with standalone components, Angular Signals, and the new control flow syntax, while acknowledging differences in approach in older Angular code. You’ll also find a brand-new chapter on optimizing performance with SSR and hydration, as well as revamped content on TypeScript.Angular developers of all experience levels will benefit from this book. It is especially useful if you are new to Angular, as it will help you get to grips with the bare bones of the framework.By the end of this book, you'll be able to create Angular applications with TypeScript from scratch and apply best practices in any Angular codebase.

Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts

Dmitry Anoshin, JC Gillet, Fabian Peri, Radhika Biyani, ...

The Tableau Desktop Certified Associate exam measures your knowledge of Tableau Desktop and your ability to work with data and data visualization techniques. This book will help you to become well-versed in Tableau software and use its business intelligence (BI) features to solve BI and analytics challenges.With the help of this book, you'll explore the authors' success stories and their experience with Tableau. You'll start by understanding the importance of Tableau certification and the different certification exams, along with covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. The book builds on your knowledge of advanced Tableau topics such as table calculations for solving problems. You'll learn to effectively visualize geographic data using vector maps. Later, you'll discover the analytics capabilities of Tableau by learning how to use features such as forecasting. Finally, you'll understand how to build and customize dashboards, while ensuring they convey information effectively. Every chapter has examples and tests to reinforce your learning, along with mock tests in the last section.By the end of this book, you'll be able to efficiently prepare for the certification exam with the help of mock tests, detailed explanations, and expert advice from the authors.