Computer & IT

This textbook provides a hands-on introduction to enterprise architecture management.

A hands-on guide to hacking computer systems from the ground up, from capturing traffic to crafting sneaky, successful trojans.A crash course in modern hacking techniques, Ethical Hacking is already being used to prepare the next generation of offensive security experts. In its many hands-on labs, you’ll explore crucial skills for any aspiring penetration tester, security researcher, or malware analyst. You’ll begin with the basics: capturing a victim’s network traffic with an ARP spoofing attack and then viewing it in Wireshark. From there, you’ll deploy reverse shells that let you remotely run commands on a victim’s computer, encrypt files by writing your own ransomware in Python, and fake emails like the ones used in phishing attacks. In advanced chapters, you’ll learn how to fuzz for new vulnerabilities, craft trojans and rootkits, exploit websites with SQL injection, and escalate your privileges to extract credentials, which you’ll use to traverse a private network. You’ll work with a wide range of professional penetration testing tools—and learn to write your own tools in Python—as you practice tasks like: Deploying the Metasploit framework’s reverse shells and embedding them in innocent-seeming filesCapturing passwords in a corporate Windows network using MimikatzScanning (almost) every device on the internet to find potential victimsInstalling Linux rootkits that modify a victim’s operating systemPerforming advanced Cross-Site Scripting (XSS) attacks that execute sophisticated JavaScript payloads Along the way, you’ll gain a foundation in the relevant computing technologies. Discover how advanced fuzzers work behind the scenes, learn how internet traffic gets encrypted, explore the inner mechanisms of nation-state malware like Drovorub, and much more. Developed with feedback from cybersecurity students, Ethical Hacking addresses contemporary issues in the field not often covered in other books and will prepare you for a career in penetration testing. Most importantly, you’ll be able to think like an ethical hacker⁠: someone who can carefully analyze systems and creatively gain access to them.

Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.

Write solid, secure, object-oriented code in the new PHP 8. In this book you will create a complete three-tier application using a natural process of building and testing modules within each tier. This practical approach teaches you about app development and introduces PHP features when they are actually needed rather than providing you with abstract theory and contrived examples.In Learn PHP 8, programming examples take advantage of the newest PHP features; you'll follow a learn-by-doing approach, which provides you with complete coding examples. "e;Do It"e; exercises in each chapter provide the opportunity to make adjustments to the example code. The end-of-chapter programming exercises allow you to develop your own applications using the algorithms demonstrated in the chapter. Each tier is logically and physically separated using object-oriented and dependency injection techniques, thus allowing independent tiers that can be updated with little or no effect on the other tiers. In addition to teaching good programming practices through OOP, there is a strong emphasis on creating secure code.As each chapter is completed, you'll have the opportunity to design and create an application reinforcing the concepts learned. What You Will Learn Program PHP 8 web applications Use interfaces, containers, and platforms Apply modular programming Manage data objects and use MySQL and other databases Work with multi-functional and secure user interfaces Handle logging exceptions and more Who This Book Is For Those new to web development, specifically PHP programming. Also, this book can be useful to those who have some PHP/web development experience who are new to PHP 8.

A rethink of everything you thought you knew about data, privacy and the future of Big Tech. Good Data examines the incredible new ways this information explosion is already helping us, and explains why the best is yet to come.

The Autodesk 3ds Max 2020: Modeling Essentials, 2nd Edition textbook walks you through every step of creating 3D models with 3ds Max 2020. This guide is perfect for both novices and those moving from other software to 3ds Max. This book will help you to get started with modeling in 3ds Max, you will learn important concepts and techniques about 3D modeling which you can utilize to create hard-surfaced objects for your projects. Using a structured and pragmatic approach, this guide begins with the basics of modeling, then builds on this knowledge using practical examples to enhance your modeling skills. Each unit builds on the knowledge gained in the previous unit, showing you all the essentials of modeling with 3ds Max 2020. As you go from hands-on exercise to hands-on exercise, you'll develop a strong arsenal of skills that combined will form a complete end to end process to create high-quality models using 3ds Max 2020. This book shares tips, tricks, notes, and cautions throughout, which will help you become a better 3ds Max artist and you will be able to speed up your workflow. This book is aimed to be a solid teaching resource for learning 3ds Max. It avoids any jargon and explains concepts and techniques in an easy-to-understand manner. The first page of every unit summarizes the topics that will be covered in the unit. Hands-on exercises in this book instruct users how things can be done in 3ds Max step-by-step. Key Features• Covers 3ds Max's updated user interface, navigation, tools, functions, and commands.• Explains the polygon, subdivision, and spline modeling techniques.• Covers all modifiers.• Detailed coverage of tools and features.• Features 34 hands-on exercises - complete with before and after files.• Features 8 practice activities to test the knowledge gained.• Additional guidance is provided in the form of tips, notes, and cautions.• Important terms are in bold face so that you never miss them.• The content under "What just happened?" heading explains the working of the instructions.• The content under "What next?" heading tells you about the procedure you will follow after completing a step(s).• Includes an ePub file that contains the color images of the screenshots/illustrations used in the textbook. These color images will help you in the learning process. This ePub file is included with the resources.• Tech support from the author.• Access to each exercise's initial and final states along with the resources used in hands-on exercises.• Quiz to assess the knowledge.• Bonus hands-on exercises. For more information, visit Padexi Academy's website.

Expert Python Programming, Third Edition is a collection of valuable tips that will help you build robust and scalable applications in Python. These will help you become confident at solving challenging programming problems effectively.

Build web-based, mobile-friendly analytic apps and interactive dashboards with PythonKey FeaturesDevelop data apps and dashboards without any knowledge of JavaScriptMap different types of data such as integers, floats, and dates to bar charts, scatter plots, and moreCreate controls and visual elements with multiple inputs and outputs and add functionality to the app as per your requirementsBook DescriptionPlotly's Dash framework is a life-saver for Python developers who want to develop complete data apps and interactive dashboards without JavaScript, but you'll need to have the right guide to make sure you're getting the most of it. With the help of this book, you'll be able to explore the functionalities of Dash for visualizing data in different ways.Interactive Dashboards and Data Apps with Plotly and Dash will first give you an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it.Next, you'll integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more in the app and then link them to charts and other outputs. Depending on the data you are visualizing, you'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them.By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application.What you will learnFind out how to run a fully interactive and easy-to-use appConvert your charts to various formats including images and HTML filesUse Plotly Express and the grammar of graphics for easily mapping data to various visual attributesCreate different chart types, such as bar charts, scatter plots, histograms, maps, and moreExpand your app by creating dynamic pages that generate content based on URLsImplement new callbacks to manage charts based on URLs and vice versaWho this book is forThis Plotly Dash book is for data professionals and data analysts who want to gain a better understanding of their data with the help of different visualizations and dashboards - and without having to use JS. Basic knowledge of the Python programming language and HTML will help you to grasp the concepts covered in this book more effectively, but it's not a prerequisite.Table of ContentsOverview of the Dash EcosystemExploring the Structure of a Dash AppWorking with Plotly's Figure ObjectsData Manipulation and Preparation - Paving the Way to Plotly ExpressInteractively Comparing Values with Bar Charts and Dropdown MenusExploring Variables with Scatter Plots and Filtering Subsets with SlidersExploring Map Plots and Enriching Your Dashboards with MarkdownCalculating Data Frequency and Building Interactive TablesLetting Your Data Speak for Itself with Machine LearningTurbo-charge Your Apps with Advanced CallbacksURLs and Multi-Page AppsDeploying Your AppNext Steps

This book is your guide to learning how to install, configure, and manage Keycloak optimally for securing your applications. With the help of easy-to-follow examples, you will gain a complete understanding of Keycloak's various features and how to enable authentication and authorization in applications using it.

Understand how Node-RED, the free and open-source flow-based programming tool, is used for handling IoT data and how it allows programmers of any level to interconnect I/O, APIs, and online services in new and exciting ways. This book is a comprehensive introduction to Node-RED and will get you up to speed with building web apps in no time.

The Cisco Certified CyberOps Associate 200-201 certification exam helps you gain the skills and knowledge needed to prevent, detect, analyze, and respond to cybersecurity incidents. This book offers complete up-to-date coverage of the 200-201 exam so you can confidently pass first time while getting hands-on cybersecurity experience.

With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow.You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference.Learn the key steps for preparing your data for analysisPerform time series analysis using SQL's date and time manipulationsUse cohort analysis to investigate how groups change over timeUse SQL's powerful functions and operators for text analysisDetect outliers in your data and replace them with alternate valuesEstablish causality using experiment analysis, also known as A/B testing

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.Current and aspiring machine learning engineers--or anyone familiar with data science and Python--will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud. The faster you deliver a machine learning system that works, the faster you can focus on the business problems you're trying to crack. This book gives you a head start.You'll discover how to:Apply DevOps best practices to machine learningBuild production machine learning systems and maintain themMonitor, instrument, load-test, and operationalize machine learning systemsChoose the correct MLOps tools for a given machine learning taskRun machine learning models on a variety of platforms and devices, including mobile phones and specialized hardware

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability.Google engineers Valliappa Lakshmanan, Martin Grner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras.You'll learn how to:Design ML architecture for computer vision tasksSelect a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your taskCreate an end-to-end ML pipeline to train, evaluate, deploy, and explain your modelPreprocess images for data augmentation and to support learnabilityIncorporate explainability and responsible AI best practicesDeploy image models as web services or on edge devicesMonitor and manage ML models

Make the Leap From Beginner to Intermediate in Python...Python Basics: A Practical Introduction to Python 3Your Complete Python Curriculum-With Exercises, Interactive Quizzes, and Sample ProjectsWhat should you learn about Python in the beginning to get a strong foundation? With Python Basics, you'll not only cover the core concepts you really need to know, but you'll also learn them in the most efficient order with the help of practical exercises and interactive quizzes. You'll know enough to be dangerous with Python, fast!Who Should Read This BookIf you're new to Python, you'll get a practical, step-by-step roadmap on developing your foundational skills. You'll be introduced to each concept and language feature in a logical order. Every step in this curriculum is explained and illustrated with short, clear code samples. Our goal with this book is to educate, not to impress or intimidate.If you're familiar with some basic programming concepts, you'll get a clear and well-tested introduction to Python. This is a practical introduction to Python that jumps right into the meat and potatoes without sacrificing substance. If you have prior experience with languages like VBA, PowerShell, R, Perl, C, C++, C#, Java, or Swift the numerous exercises within each chapter will fast-track your progress.If you're a seasoned developer, you'll get a Python 3 crash course that brings you up to speed with modern Python programming. Mix and match the chapters that interest you the most and use the interactive quizzes and review exercises to check your learning progress as you go along.If you're a self-starter completely new to coding, you'll get practical and motivating examples. You'll begin by installing Python and setting up a coding environment on your computer from scratch, and then continue from there. We'll get you coding right away so that you become competent and knowledgeable enough to solve real-world problems, fast. Develop a passion for programming by solving interesting problems with Python every day!If you're looking to break into a coding or data-science career, you'll pick up the practical foundations with this book. We won't just dump a boat load of theoretical information on you so you can "sink or swim"-instead you'll learn from hands-on, practical examples one step at a time. Each concept is broken down for you so you'll always know what you can do with it in practical terms.If you're interested in teaching others "how to Python," this will be your guidebook. If you're looking to stoke the coding flame in your coworkers, kids, or relatives-use our material to teach them. All the sequencing has been done for you so you'll always know what to cover next and how to explain it. What Python Developers Say About The Book: "Go forth and learn this amazing language using this great book." - Michael Kennedy, Talk Python"The wording is casual, easy to understand, and makes the information flow well." - Thomas Wong, Pythonista"I floundered for a long time trying to teach myself. I slogged through dozens of incomplete online tutorials. I snoozed through hours of boring screencasts. I gave up on countless crufty books from big-time publishers. And then I found Real Python. The easy-to-follow, step-by-step instructions break the big concepts down into bite-sized chunks written in plain English. The authors never forget their audience and are consistently thorough and detailed in their explanations. I'm up and running now, but I constantly refer to the material for guidance." - Jared Nielsen, Pythonista

How to Reduce Code Complexity and Develop Software More Sustainably"Mark Seemann is well known for explaining complex concepts clearly and thoroughly. In this book he condenses his wide-ranging software development experience into a set of practical, pragmatic techniques for writing sustainable and human-friendly code. This book will be a must-read for every programmer."Scott Wlaschin, author of Domain Modeling Made FunctionalCode That Fits in Your Head offers indispensable, practical advice for writing code at a sustainable pace and controlling the complexity that causes projects to spin out of control. Reflecting decades of experience helping software teams succeed, Mark Seemann guides students from zero (no code) to deployed features and shows how to maintain a good cruising speed as they add functionality, address cross-cutting concerns, troubleshoot, and optimize. They'll find valuable ideas, practices, and processes for key issues ranging from checklists to teamwork, encapsulation to decomposition, API design to unit testing. Seemann illuminates his insights with code examples drawn from a complete sample project. Written in C#, they're designed to be clear and useful to anyone who uses any object-oriented language including Java , C++, and Python. To facilitate deeper exploration, all code and extensive commit messages are available for download.Choose mindsets and processes that work, and escape bad metaphors that don'tUse checklists to improve outcomes with skills already possessedGet past analysis paralysis by creating and deploying a vertical slice to an applicationCounteract forces that lead to code rot and unnecessary complexityMaster better techniques for changing code behaviorDiscover ways to solve code problems more quickly and effectivelyThink more productively about performance and securityRegister your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

Writing for students at all levels of experience, Farley illuminates durable principles at the heart of effective software development. He distills the discipline into two core exercises: first, learning and exploration, and second, managing complexity. For each, he defines principles that can help students improve everything from their mindset to the quality of their code, and describes approaches proven to promote success.Farley's ideas and techniques cohere into a unified, scientific, and foundational approach to solving practical software development problems within realistic economic constraints. This general, durable, and pervasive approach to software engineering can help students solve problems they haven't encountered yet, using today's technologies and tomorrow's. It offers students deeper insight into what they do every day, helping them create better software, faster, with more pleasure and personal fulfillment.

The Robot Will See You Now explores developments in artificial intelligence and robotics, and considers how Christians can prepare for the challenges they pose.