Incident Response Techniques for Ransomware Attacks. Understand modern ransomware attacks and build an incident response strategy to work through them

Oleg Skulkin

Ransomware attacks have become the strongest and most persistent threat for many companies around the globe. Building an effective incident response plan to prevent a ransomware attack is crucial and may help you avoid heavy losses. Incident Response Techniques for Ransomware Attacks is designed to help you do just that.This book starts by discussing the history of ransomware, showing you how the threat landscape has changed over the years, while also covering the process of incident response in detail. You’ll then learn how to collect and produce ransomware-related cyber threat intelligence and look at threat actor tactics, techniques, and procedures. Next, the book focuses on various forensic artifacts in order to reconstruct each stage of a human-operated ransomware attack life cycle. In the concluding chapters, you’ll get to grips with various kill chains and discover a new one: the Unified Ransomware Kill Chain.By the end of this ransomware book, you’ll be equipped with the skills you need to build an incident response strategy for all ransomware attacks.

Learning Java by Building Android Games. Extend your game development skills while learning Java – follow this book and learn Java for Android to enter the world of Android games development with greater confidence

John Horton

Power Up Your PowToon Studio Project. The ultimate PowToon project guide – get hints, tips, and ideas to turbocharge your PowToon Studio project

Bruce Graham

Modern Web Development with ASP.NET Core 3. An end to end guide covering the latest features of Visual Studio 2019, Blazor and Entity Framework - Second Edition

Ricardo Peres

ASP.NET has been the preferred choice of web developers for a long time. With ASP.NET Core 3, Microsoft has made internal changes to the framework along with introducing new additions that will change the way you approach web development. This second edition has been thoroughly updated to help you make the most of the latest features in the framework, right from gRPC and conventions to Blazor, which has a new chapter dedicated to it.You’ll begin with an overview of the essential topics, exploring the Model-View-Controller (MVC) pattern, various platforms, dependencies, and frameworks. Next, you’ll learn how to set up and configure the MVC environment, before delving into advanced routing options. As you advance, you’ll get to grips with controllers and actions to process requests, and later understand how to create HTML inputs for models. Moving on, you'll discover the essential aspects of syntax and processes when working with Razor. You'll also get up to speed with client-side development and explore the testing, logging, scalability, and security aspects of ASP.NET Core. Finally, you'll learn how to deploy ASP.NET Core to several environments, such as Azure, Amazon Web Services (AWS), and Docker.By the end of the book, you’ll be well versed in development in ASP.NET Core and will have a deep understanding of how to interact with the framework and work cross-platform.

Going IT Alone: The Handbook for Freelance and Contract Software Developers. A detailed guide to self-employment for software and web developers - from identifying your target market, through to managing your time, finances, and client behavior

Leon Brown

Learning Force.com Application Development. Use the Force.com platform to design and develop real-world, cutting-edge cloud applications

Chamil Madusanka

Elasticsearch Blueprints. A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch

Neil Alex, Vineeth Mohan

Robot Framework Test Automation. Create test suites and automated acceptance tests from scratch

Sumit Bisht

Testing has traditionally been a part of software development, and has always involved a lot of manual effort. It can be automated with Robot Framework, which offers numerous benefits from cost saving to increased quality assurance in the software delivery. This book will help you to start designing test suites and Automated Acceptance Tests.Helping you to get started with automating acceptance tests, this book will provide a detailed overview of acceptance test management practices and principles. You will also be introduced to advanced techniques that you can use to customize the test suite, along with helpful tips and tricks to extend and leverage it in a wide variety of scenarios.Starting with a detailed explanation of the need for automated acceptance test driven development, this guide will help you with an empty test project creation and execution for proof of concept, and validation of installation. This book will also cover the Robot Framework in detail, and will help you test desktop applications using Java Swing. You will gain an in-depth knowledge of tricky activities, such as setting up a test environment and using it with Selenium.You will also learn about other popular libraries, and how to test network protocols, web services, and databases. This book will cover the entire Robot Framework with real- world practical material to make its content informative and interesting.By the end of this book you will be able to write acceptance tests for desktop and web applications, as well as know how to extend acceptance testing in other scenarios that are commonly devoid of tests, and present the results appropriately.

Microsoft Identity Manager 2016 Handbook. A complete handbook on Microsoft Identity Manager 2016 – from design considerations to operational best practices

David Steadman, Jeff Ingalls

Microsoft Identity Manager 2016 is Microsoft’s solution to identity management. When fully installed, the product utilizes SQL, SharePoint, IIS, web services, the .NET Framework, and SCSM to name a few, allowing it to be customized to meet nearly every business requirement. The book is divided into 15 chapters and begins with an overview of the product, what it does, and what it does not do. To better understand the concepts in MIM, we introduce a fictitious company and their problems and goals, then build an identity solutions to fit those goals. Over the course of this book, we cover topics such as MIM installation and configuration, user and group management options, self-service solutions, role-based access control, reducing security threats, and finally operational troubleshooting and best practices.By the end of this book, you will have gained the necessary skills to deploy, manage and operate Microsoft Identity Manager 2016 to meet your business requirements and solve real-world customer problems.

ArcGIS for Desktop Cookbook. Over 60 hands-on recipes to help you become a more productive ArcGIS for Desktop user

Daniela C Docan

Mastering Tableau 2023. Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau - Fourth Edition

Marleen Meier, Christina Stathopoulos, David Sigerson

This edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added.Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions.Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau.By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.

Instant Parallel Processing with Gearman. Learn how to use Gearman to build scalable distributed applications

John Ewart

Many of today's applications need to be able to process large volumes of data, and vertical scaling has its limits both in terms of prohibitive cost and hardware limits. Gearman is an open source job manager that is well-suited to building horizontally scalable systems, from map-reduce algorithms to simple data processors capable of handling massive amounts of information.Instant Gearman is a practical, hands-on guide to getting started with building an open source job management server system that is built to grow. Learn the basics of building a distributed application that spans multiple components and learn how Gearman fits into building an application that scales from one to hundreds of components that interact to process data. With Gearman, you can build software that scales horizontally as your need for computation increases.Instant Gearman has in-depth examples and a step-by-step approach to building distributed systems, helping you to build systems that are scalable and modular in their approach to processing data.Once you are comfortable with building simple workers and clients, learn how to build a cluster of managers and see how to reduce single-point-of-failure in your architecture. Next, build a simple map-reduce application using Gearman and scale it up from a single instance to multiple parallel processing components.

AWS DevOps Simplified. Build a solid foundation in AWS to deliver enterprise-grade software solutions at scale

Akshay Kapoor, Paul Duvall

DevOps and AWS are the two key enablers for the success of any modern software-run business. DevOps accelerates software delivery, while AWS offers a plethora of services, allowing developers to prioritize business outcomes without worrying about undifferentiated heavy lifting. This book focuses on the synergy between them, equipping you with strong foundations, hands-on examples, and a strategy to accelerate your DevOps journey on AWS.AWS DevOps Simplified is a practical guide that starts with an introduction to AWS DevOps offerings and aids you in choosing a cloud service that fits your company's operating model. Following this, it provides hands-on tutorials on the GitOps approach to software delivery, covering immutable infrastructure and pipelines, using tools such as Packer, CDK, and CodeBuild/CodeDeploy. Additionally, it provides you with a deep understanding of AWS container services and how to implement observability and DevSecOps best practices to build and operate your multi-account, multi-Region AWS environments.By the end of this book, you’ll be equipped with solutions and ready-to-deploy code samples that address common DevOps challenges faced by enterprises hosting workloads in the cloud.

Julia High Performance. Design and develop high performing programs with Julia

Avik Sengupta

Julia is a high performance, high-level dynamic language designed to address the requirements of high-level numerical and scientific computing. Julia brings solutions to the complexities faced by developers while developing elegant and high performing code. Julia High Performance will take you on a journey to understand the performance characteristics of your Julia programs, and enables you to utilize the promise of near C levels of performance in Julia.You will learn to analyze and measure the performance of Julia code, understand how to avoid bottlenecks, and design your program for the highest possible performance. In this book, you will also see how Julia uses type information to achieve its performance goals, and how to use multuple dispatch to help the compiler to emit high performance machine code. Numbers and their arrays are obviously the key structures in scientific computing – you will see how Julia’s design makes them fast. The last chapter will give you a taste of Julia’s distributed computing capabilities.

jQuery UI Cookbook. For jQuery UI developers this is the ultimate guide to maximizing the potential of your user interfaces. Full of great practical recipes that cover every widget in the framework, it's an essential manual

Adam Boduch

jQuery UI is the quintessential framework for creating professional user interfaces. While jQuery core lays the foundation for interaction with the DOM and handling events, jQuery UI fills in the user interaction gap. This book will give you a huge productivity boost out of the box with jQuery UI, and help you understand the framework, inside and out.jQuery UI Cookbook provides you with practical recipes featuring in-depth coverage of every widget in the framework, including how to address limitations that impact your everyday development activities with these widgets. You'll get a better idea of the big picture – how the framework is composed, how the widgets relate to one another, and how to build on those patterns.Be it a minor tweak on the visual design of a progress bar or a fundamental change in a widget to meet your needs, jQuery UI Cookbook covers scenarios both big and small. You can show reminders as tooltips, apply a variety of effects to the menu widget, and start interactions between the dialog widget and API data using deferred objects. These and many more interesting tasks are covered in this book, which can be done with smooth learning and great understanding. You will see how button widgets can fill the width of their containing element, making the layout more consistent. Tabs can be sorted and moved between widgets. You will learn how to do all these things within the context of the big picture, by finding out why the components work the way they do, making you well-versed in jQuery UI.

Learning Tableau 2020. Create effective data visualizations, build interactive visual analytics, and transform your organization - Fourth Edition

Joshua N. Milligan

Learning Tableau strengthens your command on Tableau fundamentals and builds on advanced topics.The book starts by taking you through foundational principles of Tableau. We then demonstrate various types of connections and how to work with metadata. We teach you to use a wide variety of visualizations to analyze and communicate the data, and introduce you to calculations and parameters. We then take an in-depth look at level of detail (LOD) expressions and use them to solve complex data challenges. Up next, we show table calculations, how to extend and alter default visualizations, build an interactive dashboard, and master the art of telling stories with data.This Tableau book will introduce you to visual statistical analytics capabilities, create different types of visualizations and dynamic dashboards for rich user experiences. We then move on to maps and geospatial visualization, and the new Data Model capabilities introduced in Tableau 2020.2. You will further use Tableau Prep’s ability to clean and structure data and share the stories contained in your data.By the end of this book, you will be proficient in implementing the powerful features of Tableau 2020 for decision-making.

OpenCV with Python Blueprints. Design and develop advanced computer vision projects using OpenCV with Python

Michael Beyeler

Microsoft Exchange 2013 Cookbook. Get the most out of Microsoft Exchange with this comprehensive guide. Structured around a series of clear, step-by-step exercises it will help you deploy and configure both basic and advanced features for your enterprise

Michael Van Horenbeeck, Peter De Tender

Learning C# by Developing Games with Unity 3D Beginner's Guide. The beauty of this book is that it assumes absolutely no knowledge of coding at all. Starting from very first principles it will end up giving you an excellent grounding in the writing of C# code and scripts

Terry Norton

For the absolute beginner to any concept of programming, writing a script can appear to be an impossible hurdle to overcome. The truth is, there are only three simple concepts to understand: 1) having some type of information; 2) using the information; and 3) communicating the information. Each of these concepts is very simple and extremely important. These three concepts are combined to access the feature set provided by Unity.Learning C# by Developing Games with Unity 3D Beginner's Guide assumes that you know nothing about programming concepts. First you will learn the absolute basics of programming using everyday examples that you already know. As you progress through the book, you will find that C# is not a foreign language after all, because you already know the words. With a few keywords and using substitution, before you know it, you'll be thinking in code.The book starts by explaining in simple terms the three concepts you need for writing C# code and scripts: 1) variables to hold information; 2) methods (functions) to use the information; and 3) Dot Syntax to communicate the information where it's needed. The book builds on these concepts to open up the world of C# coding and Unity scripting. You will use this new power to access the features provided in Unity's Scripting Reference.The first half of this book is devoted to the code writing beginner. The concepts of variables, methods, Dot Syntax, and decision processing are fully explained. Since C# is an actual programming language, we take advantage of this to develop a State Machine to help control and organize each phase of a Unity project. Once the basic programming concepts are established and we have some State Machine organization, the features and power of Unity are accessed using the Scripting Reference.If you're looking to learn C# for Unity then this is the book that offers everything you need and more - so discover what C# offers today and see your work come to life as complete games!

Learning Robotics Using Python. Bring robotics projects to life with Python! Discover how to harness everything from Blender to ROS and OpenCV with one of our most popular robotics books

Marek Suppa, Lentin Joseph

Learning Predictive Analytics with Python. Click here to enter text

Ashish Kumar

Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form - It needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Learning to predict who would win, lose, buy, lie, or die with Python is an indispensable skill set to have in this data age. This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy. You’ll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. You will also learn more about the best predictive modeling algorithms such as Linear Regression, Decision Trees, and Logistic Regression. Finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world.

Microsoft Dynamics GP 2013 Reporting. Microsoft Dynamics GP lets you take control of creating and managing reports, and this guide shows you exactly how. Written by practical experts with business consultancy backgrounds, the book combines clarity with thoroughness

Chris Liley, David Duncan

Machine Learning: End-to-End guide for Java developers. Data Analysis, Machine Learning, and Neural Networks simplified

Boštjan Kaluža, Krishna Choppella, Uday Kamath

Machine Learning is one of the core area of Artificial Intelligence where computers are trained to self-learn, grow, change, and develop on their own without being explicitly programmed. In this course, we cover how Java is employed to build powerful machine learning models to address the problems being faced in the world of Data Science. The course demonstrates complex data extraction and statistical analysis techniques supported by Java, applying various machine learning methods, exploring machine learning sub-domains, and exploring real-world use cases such as recommendation systems, fraud detection, natural language processing, and more, using Java programming. The course begins with an introduction to data science and basic data science tasks such as data collection, data cleaning, data analysis, and data visualization. The next section has a detailed overview of statistical techniques, covering machine learning, neural networks, and deep learning. The next couple of sections cover applying machine learning methods using Java to a variety of chores including classifying, predicting, forecasting, market basket analysis, clustering stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, and deep learning.The last section highlights real-world test cases such as performing activity recognition, developing image recognition, text classification, and anomaly detection. The course includes premium content from three of our most popular books:[*]Java for Data Science[*]Machine Learning in Java [*]Mastering Java Machine LearningOn completion of this course, you will understand various machine learning techniques, different machine learning java algorithms you can use to gain data insights, building data models to analyze larger complex data sets, and incubating applications using Java and machine learning algorithms in the field of artificial intelligence.

Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition

Giuseppe Bonaccorso

Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains.You will use all the modern libraries from the Python ecosystem – including NumPy and Keras – to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks.By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios.