Practical Cybersecurity Architecture. A guide to creating and implementing robust designs for cybersecurity architects

Ed Moyle, Diana Kelley

Cybersecurity architects work with others to develop a comprehensive understanding of the business' requirements. They work with stakeholders to plan designs that are implementable, goal-based, and in keeping with the governance strategy of the organization.With this book, you'll explore the fundamentals of cybersecurity architecture: addressing and mitigating risks, designing secure solutions, and communicating with others about security designs. The book outlines strategies that will help you work with execution teams to make your vision a concrete reality, along with covering ways to keep designs relevant over time through ongoing monitoring, maintenance, and continuous improvement. As you progress, you'll also learn about recognized frameworks for building robust designs as well as strategies that you can adopt to create your own designs.By the end of this book, you will have the skills you need to be able to architect solutions with robust security components for your organization, whether they are infrastructure solutions, application solutions, or others.

Building Blazor WebAssembly Applications with gRPC. Learn how to implement source generators and gRPC in your Blazor apps for better performance

Václav Pekárek

Building Blazor WebAssembly Applications with gRPC will take you to the next level in your web development career. After working through all the essentials of gRPC, Blazor, and source generators, you will be far from a beginner C# developer and would qualify as a developer with intermediate knowledge of the Blazor ecosystem.After a quick primer on the basics of Blazor technology, REST, gRPC, and source generators, you’ll dive straight into building Blazor WASM applications. You’ll learn about everything from two-way bindings and Razor syntax to project setup. The practical emphasis continues throughout the book as you steam through creating data repositories, working with REST, and building and registering gRPC services. The chapters also cover how to manage source generators, C# and debugging best practices, and more. There is no shorter path than this book to solidify your gRPC-enabled web development knowledge.By the end of this book, your knowledge of building Blazor applications with one of the most modern and powerful frameworks around will equip you with a highly sought-after skill set that you can leverage in the best way possible.

Python GUI Programming Cookbook. Develop functional and responsive user interfaces with tkinter and PyQt5 - Third Edition

Burkhard Meier

Python is a multi-domain, interpreted programming language that is easy to learn and implement. With its wide support for frameworks to develop GUIs, you can build interactive and beautiful GUI-based applications easily using Python. This third edition of Python GUI Programming Cookbook follows a task-based approach to help you create effective GUIs with the smallest amount of code. Every recipe in this book builds upon the last to create an entire, real-life GUI application. These recipes also help you solve problems that you might encounter while developing GUIs. This book mainly focuses on using Python’s built-in tkinter GUI framework. You'll learn how to create GUIs in Python using simple programming styles and object-oriented programming (OOP). As you add more widgets and expand your GUI, you will learn how to connect to networks, databases, and graphical libraries that greatly enhance the functionality of your GUI. You’ll also learn how to use threading to ensure that your GUI doesn't become unresponsive. Toward the end, you’ll learn about the versatile PyQt GUI framework, which comes along with its own visual editor that allows you to design GUIs using drag and drop features. By the end of the book, you’ll be an expert in designing Python GUIs and be able to develop a variety of GUI applications with ease.

Lucene 4 Cookbook. Over 70 hands-on recipes to quickly and effectively integrate Lucene into your search application

Edwood Ng, Vineeth Mohan

Learning Neo4j. Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database

Rik Van Bruggen

Generative AI with Python and PyTorch. Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications - Second Edition

Joseph Babcock, Raghav Bali

Become an expert in Generative AI through immersive, hands-on projects that leverage today’s most powerful models for Natural Language Processing (NLP) and computer vision. Generative AI with Python and PyTorch is your end-to-end guide to creating advanced AI applications, made easy by Raghav Bali, a seasoned data scientist with multiple patents in AI, and Joseph Babcock, a PhD and machine learning expert. Through business-tested approaches, this book simplifies complex GenAI concepts, making learning both accessible and immediately applicable.From NLP to image generation, this second edition explores practical applications and the underlying theories that power these technologies. By integrating the latest advancements in LLMs, it prepares you to design and implement powerful AI systems that transform data into actionable intelligence.You’ll build your versatile LLM toolkit by gaining expertise in GPT-4, LangChain, RLHF, LoRA, RAG, and more. You’ll also explore deep learning techniques for image generation and apply styler transfer using GANs, before advancing to implement CLIP and diffusion models.Whether you’re generating dynamic content or developing complex AI-driven solutions, this book equips you with everything you need to harness the full transformative power of Python and AI.

Managing Software Requirements the Agile Way. Bridge the gap between software requirements and executable specifications to deliver successful projects

Fred Heath

Difficulty in accurately capturing and managing requirements is the most common cause of software project failure. Learning how to analyze and model requirements and produce specifications that are connected to working code is the single most fundamental step that you can take toward project success. This book focuses on a delineated and structured methodology that will help you analyze requirements and write comprehensive, verifiable specifications.You'll start by learning about the different entities in the requirements domain and how to discover them based on customer input. You’ll then explore tried-and-tested methods such as impact mapping and behavior-driven development (BDD), along with new techniques such as D3 and feature-first development. This book takes you through the process of modeling customer requirements as impact maps and writing them as executable specifications. You’ll also understand how to organize and prioritize project tasks using Agile frameworks, such as Kanban and Scrum, and verify specifications against the delivered code. Finally, you'll see how to start implementing the requirements management methodology in a real-life scenario.By the end of this book, you'll be able to model and manage requirements to create executable specifications that will help you deliver successful software projects.

Mastering PLC Programming. The software engineering survival guide to automation programming

M. T. White

Object-oriented programming (OOP) is a new feature of PLC programming that has taken the automation world by storm. This book provides you with the necessary skills to succeed in the modern automation programming environment.The book is designed in a way to take you through advanced topics such as OOP design, SOLID programming, the software development lifecycle (SDLC), library design, HMI development, general software engineering practices, and more. To hone your programming skills, each chapter has a simulated real-world project that’ll enable you to apply the skills you’ve learned. In all, this book not only covers complex PLC programming topics, but it also removes the financial barrier that comes with most books as all examples utilize free software. This means that to follow along, you DO NOT need to purchase any PLC hardware or software.By the end of this PLC book, you will have what it takes to create long-lasting codebases for any modern automation project.

Citrix(R) XenApp(R) 7.x Performance Essentials. Tune and optimize the performance of your farms with the new improved XenApp® architecture

Luca Dentella

Python for ArcGIS Pro. Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas

Silas Toms, Bill Parker, Dr. Christopher Tucker, René Rubalcava

Integrating Python into your day-to-day ArcGIS work is highly recommended when dealing with large amounts of geospatial data. Python for ArcGIS Pro aims to help you get your work done faster, with greater repeatability and higher confidence in your results.Starting from programming basics and building in complexity, two experienced ArcGIS professionals-turned-Python programmers teach you how to incorporate scripting at each step: automating the production of maps for print, managing data between ArcGIS Pro and ArcGIS Online, creating custom script tools for sharing, and then running data analysis and visualization on top of the ArcGIS geospatial library, all using Python.You’ll use ArcGIS Pro Notebooks to explore and analyze geospatial data, and write data engineering scripts to manage ongoing data processing and data transfers. This exercise-based book also includes three rich real-world case studies, giving you an opportunity to apply and extend the concepts you studied earlier.Irrespective of your expertise level with Esri software or the Python language, you’ll benefit from this book’s hands-on approach, which takes you through the major uses of Python for ArcGIS Pro to boost your ArcGIS productivity.

Tableau Cookbook for Experienced Professionals. Over 60 advanced recipes for maximizing performance, interactivity, and platform potential

Pablo Sáenz de Tejada, Daria Kirilenko

In today’s data-driven business world, advanced analytics set organizations apart. Basic visualizations no longer suffice for Tableau developers tackling complex data challenges. Written by Tableau experts who've trained Fortune 500 companies and led global analytics initiatives, this cookbook delivers battle-tested techniques with the perfect blend of technical depth and practical application.You’ll master advanced techniques such as geospatial analysis, data modeling for optimized workflows, and enterprise-scale content management. This book shows you how to leverage Tableau cloud’s Data Management capabilities to centralize data sources and ensure data quality for consistent analytics. You’ll also explore advanced management features such as the Content Migration Tool in Tableau 2025.1 and beyond.Bridging the gap between fundamentals and cutting-edge practices, this book extends Tableau’s capabilities with APIs, custom LOD expressions, virtual connections, data apps, and TabPy. You’ll gain the skills to solve complex business problems, create high-impact dashboards, and seamlessly integrate Tableau into your data strategy, all while adhering to security and governance best practices.This isn’t just another Tableau cookbook—it’s your blueprint for mastering the platform and driving meaningful data-powered transformation.

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

Microsoft Dynamics CRM 2011 Cookbook. Includes over 75 incredible recipes for deploying, configuring, and customizing your CRM application

Dipankar Bhattacharya

Without a comprehensive understanding of deployment scenarios and steps, it is really difficult to install and maintain Dynamics CRM 2011 within complex IT infrastructures. Done badly, it can cause serious future maintenance and optimization issues. Administration of CRM systems is equally complex and important; unless efficiently done, it can create fuss in the system and potentially bring down end user satisfaction. Configuration and customization of the system has to be done very carefully too so that it can meet the functional needs appropriately.“Microsoft Dynamics CRM 2011 Cookbook is a hands-on guide, providing clear, step-by-step instructions to deploy, maintain, optimize, and administer Dynamics CRM 2011 along with advanced configuration and customization processes, to give us a strong advantage in creating successful CRM applications.This book introduces Dynamics CRM 2011 by describing the important aspects of the system. It will take you through a number of clear and practical recipes from successful deployment, hassle-free maintenance, and effective administration to advanced level configuration and customization techniques.You will learn from a range of deployment and maintenance topics such as how to configure CRM to use claim-based authentication using AD FS, how to enable tracing in CRM servers, how to recover from server failures, and how to optimize server performance. This book will also discuss how to schedule Data Duplication detection jobs, enable auditing, export and import managed/unmanaged solutions, create 1:N, N:1, or N:N relationships between entities, configuring role based forms, adding a new button in the ribbon, SharePoint integration with CRM, and configuring a dialog or workflow.You will learn everything you need to know, from deployment, administration, and maintenance to configuration, integration, and customization for your Dynamics CRM 2011 application.

Machine Learning in Biotechnology and Life Sciences. Build machine learning models using Python and deploy them on the cloud

Saleh Alkhalifa

The booming fields of biotechnology and life sciences have seen drastic changes over the last few years. With competition growing in every corner, companies around the globe are looking to data-driven methods such as machine learning to optimize processes and reduce costs. This book helps lab scientists, engineers, and managers to develop a data scientist's mindset by taking a hands-on approach to learning about the applications of machine learning to increase productivity and efficiency in no time.You’ll start with a crash course in Python, SQL, and data science to develop and tune sophisticated models from scratch to automate processes and make predictions in the biotechnology and life sciences domain. As you advance, the book covers a number of advanced techniques in machine learning, deep learning, and natural language processing using real-world data.By the end of this machine learning book, you'll be able to build and deploy your own machine learning models to automate processes and make predictions using AWS and GCP.

Official Google Cloud Certified Professional Cloud Security Engineer Exam Guide. Become an expert and get Google Cloud certified with this practitioner’s guide

Ankush Chowdhary, Prashant Kulkarni, Phil Venables

Google Cloud security offers powerful controls to assist organizations in establishing secure and compliant cloud environments. With this book, you’ll gain in-depth knowledge of the Professional Cloud Security Engineer certification exam objectives, including Google Cloud security best practices, identity and access management (IAM), network security, data security, and security operations.The chapters go beyond the exam essentials, helping you explore advanced topics such as Google Cloud Security Command Center, the BeyondCorp Zero Trust architecture, and container security. With step-by-step explanations, practical examples, and practice exams to help you improve your skills for the exam, you'll be able to efficiently review and apply key concepts of the shared security responsibility model. Finally, you’ll get to grips with securing access, organizing cloud resources, network and data security, and logging and monitoring.By the end of this book, you'll be proficient in designing, developing, and operating security controls on Google Cloud and gain insights into emerging concepts for future exams.

Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition

Sinan Ozdemir, Sunil Kakade, Marco Tibaldeschi

Need to turn programming skills into effective data science skills? This book helps you connect mathematics, programming, and business analysis. You’ll feel confident asking—and answering—complex, sophisticated questions of your data, making abstract and raw statistics into actionable ideas.Going through the data science pipeline, you'll clean and prepare data and learn effective data mining strategies and techniques to gain a comprehensive view of how the data science puzzle fits together. You’ll learn fundamentals of computational mathematics and statistics and pseudo-code used by data scientists and analysts. You’ll learn machine learning, discovering statistical models that help control and navigate even the densest datasets, and learn powerful visualizations that communicate what your data means.