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Microsoft Official Academic Course: Exam
98-361 Software Development Fundamental

Exam 98-361 Software Development Fundamentals Second Edition

Advances in Computers

The Convergence of Artificial Intelligence (AI) and 6G Communication Networks: The Needs and Implications: Volume 139

Programming Language Pragmatics is the most comprehensive programming language textbook available today, with nearly 1000 pages of content in the book, plus hundreds more pages of reference materials and ancillaries online. Michael Scott takes theperspective that language design and language implementation are tightly interconnected, and that neither can be fully understood in isolation. In an approachable, readable style, he discusses more than 50 languages in the context of understanding how code isinterpreted or compiled, providing an organizational framework for learning new languages, regardless of platform. This edition has been thoroughly updated to cover the most recent developments in programming language design and provides both a solid understanding of the most important issues driving software development today

Programming Language Pragmatics

This book provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. You'll learn how to overcome these hurdles without needing to set up complex infrastructure. Written by developers of the Arrow R package, this guide is essential for anyone looking to scale their data processing capabilities in R.

Analyze large datasets directly from R. Scaling Up With R and Arrow provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. As data grows in size and complexity, traditional data analysis methods in R often hit technical limitations. In this book, you'll learn how to overcome these hurdles without needing to set up complex infrastructure.You'll learn about the Apache Arrow project's origins, goals, and its significance in bridging the gap between data science and big data ecosystems. You'll also learn how to leverage the arrow R package to work directly with files in various formats, such as CSV and Parquet, using familiar dplyr syntax. This book explores practical topics like data manipulation, file formats, working with larger datasets, and optimizing workflows for data in cloud storage. Advanced chapters examine user-defined functions, integration with other tools like DuckDB, and extending Arrow's capabilities to work with geospatial data.Written by developers of the Arrow R package, this guide is essential for anyone looking to scale their data processing capabilities in R.

Bigger Data, Easier Workflows

Scaling Up with R and Apache Arrow

"This rigorous introduction to the fundamental ideas of convexity and their use in optimization offers a unifying approach for both discrete and continuous applications. Students and researchers in optimization, operations research, computer science, and applied mathematics will appreciate the book's 300+ exercises and coverage of new developments"--

This rigorous introduction to the fundamental ideas of convexity and their use in optimization offers a unifying approach for both discrete and continuous applications. Students and researchers in optimization, operations research, computer science, and applied mathematics will appreciate the book's 300+ exercises and coverage of new developments.

Convexity and its Applications in Discrete and Continuous Optimization

Synthetic Media, Deepfakes, and Cyber Deception: Attacks, Analysis, and Defenses introduces the only analytical Synthetic Media Analysis Framework (SMAF) to help describe cyber threats and help security professionals anticipate and analyze attacks. This framework encompasses seven dimensions: Credibility, Control, Medium, Interactivity, Familiarity, Intended Target, and Evocation. Synthetic media is a broad term that encompasses the artificial manipulation, modification, and production of information, covering a spectrum from audio-video deepfakes to text-based chatbots. Synthetic media provides cyber attackers and scammers with a game-changing advantage over traditional ROSE attacks because they have the potential to convincingly impersonate close associates through text, imagery, voice, and video. This burgeoning threat has yet to be meaningfully addressed through any written treatment on the topic. The book is co-authored by three cyber influence and deception experts who have gained deep knowledge and experience on the topic through diverse, true operational pathways and backgrounds. The diversity and perspectives of the author team makes the content in the book the broadest and deepest treatment of synthetic media attacks available to readers.

Attacks, Analysis, and Defenses

Synthetic Media, Deepfakes, and Cyber Deception

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Since the first edition of “Data Science and Analytics with Python” we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This has led to book becoming a key textbook among practitioners and students.

Data Science and Analytics with Python

A revised introduction to the Linux operating system for beginning hackers and penetration testers. If you’re just getting started along the exciting path of hacking, cybersecurity, and pentesting, Linux Basics for Hackers is an excellent introduction. With Kali Linux, an operating system designed for digital forensics and penetration testing, you’ll learn the basics of using Linux and acquire the tools and techniques you’ll need to take control of a Linux environment. First, you’ll learn how to install Kali on a virtual machine and get an introduction to basic Linux concepts. Next, you’ll tackle broader Linux topics like manipulating text, controlling file and directory permissions, and managing user environment variables. You’ll then focus on foundational hacking concepts like security and anonymity and learn scripting skills with bash and Python.&nbsp; Practical tutorials and exercises throughout will reinforce and test your skills as you learn how to: <ul><li>Cover your tracks by changing your network information and manipulating the journalctl logging utility</li><li>Write a tool to scan for network connections, and connect and listen to wireless networks</li><li>Keep your internet activity stealthy using Tor, proxy servers, VPNs, and encrypted email</li><li>Write a bash script to find potential attack targets over a range of IP addresses</li><li>Use and abuse services like MySQL, the Apache web server, and OpenSSH</li><li>Build your own hacking tools, such as remote spy cameras and password crackers</li></ul> New to this edition: This second edition has been updated to address recent changes to Kali&nbsp; and Linux, including a more secure approach to&nbsp; root privileges, updates to Bluetooth and Linux logging functions, and a new chapter with advice&nbsp;on AI in cybersecurity. Hacking is complex, and there is no single way in. Why not start at the beginning with Linux Basics for Hackers?

A revised introduction to the Linux operating system for beginning hackers and penetration testers. If you’re just getting started along the exciting path of hacking, cybersecurity, and pentesting, Linux Basics for Hackers is an excellent introduction. With Kali Linux, an operating system designed for digital forensics and penetration testing, you’ll learn the basics of using Linux and acquire the tools and techniques you’ll need to take control of a Linux environment. First, you’ll learn how to install Kali on a virtual machine and get an introduction to basic Linux concepts. Next, you’ll tackle broader Linux topics like manipulating text, controlling file and directory permissions, and managing user environment variables. You’ll then focus on foundational hacking concepts like security and anonymity and learn scripting skills with bash and Python.&nbsp; Practical tutorials and exercises throughout will reinforce and test your skills as you learn how to: <ul><li>Cover your tracks by changing your network information and manipulating the journalctl logging utility</li><li>Write a tool to scan for network connections, and connect and listen to wireless networks</li><li>Keep your internet activity stealthy using Tor, proxy servers, VPNs, and encrypted email</li><li>Write a bash script to find potential attack targets over a range of IP addresses</li><li>Use and abuse services like MySQL, the Apache web server, and OpenSSH</li><li>Build your own hacking tools, such as remote spy cameras and password crackers</li></ul> New to this edition: This second edition has been updated to address recent changes to Kali&nbsp; and Linux, including a more secure approach to&nbsp; root privileges, updates to Bluetooth and Linux logging functions, and a new chapter with advice&nbsp;on AI in cybersecurity. Hacking is complex, and there is no single way in. Why not start at the beginning with Linux Basics for Hackers?

Linux Basics for Hackers, 2nd Edition

Sybex Study Guide

Your complete Guide to preparing for the AWS® Certified Data Engineer: Associate exam The AWS® Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C01 Associate exam. This Sybex Study Guide covers 100% of the DEA-C01 objectives. Prepare for the exam faster and smarter with Sybex thanks to accurate content including, an assessment test that validates and measures exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and retain what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get ready for the AWS Certified Data Engineer exam - quickly and efficiently - with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for: <ul><li>Data Ingestion and Transformation</li><li>Data Store Management</li><li>Data Operations and Support</li><li>Data Security and Governance</li></ul> ABOUT THE AWS DATA ENGINEER - ASSOCIATE CERTIFICATION The AWS Data Engineer - Associate certification validates skills and knowledge in core data-related Amazon Web Services. It recognizes your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices Interactive learning environment Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: ¿ Interactive test bank with 5 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam. ¿ 100 electronic flashcards to reinforce learning and last-minute prep before the exam ¿ Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared

Associate (DEA-C01) Exam

AWS Certified Data Engineer Study Guide

The past decade has seen cloud and infrastructure as code move out of shadow IT and startups and into the mainstream. Many organizations rushed to adopt new technologies as part of their transformation into digital businesses, creating a sprawl of unmaintainable infrastructure codebases. Now, there is a need to consolidate cloud-based systems into mature foundations for sustainable growth. With this book, Kief Morris describes patterns and practices for building and evolving infrastructure as code. The third edition provides a broader context for infrastructure, explaining how to design and implement infrastructure to better support the strategic goals and challenges of an organization, such as supporting growth while better managing costs. This book covers: <ul> <li>Foundational concepts, including an exploration of declarative and procedural infrastructure languages, where infrastructure code fits into a comprehensive platform strategy and enterprise architecture, and how to test and deliver infrastructure code. </li><li>Infrastructure architecture, drawing on lessons learned from software design and engineering to build infrastructure codebases that can be evolved and scaled to enable growth and adapt to changing needs. </li><li>Patterns for building infrastructure to support platform services across the complicated, varied landscapes of real-world IT systems, from physical hardware to virtual servers to cloud-native clusters and serverless workloads. </li><li>Workflows and operating models that combine automation and cloud with forward-thinking approaches like Agile and DevOps for rigorous governance of compliance, cost, security, and operational quality.
</li></ul>

Dynamic Systems for the Cloud Age

Infrastructure as COde

Ready to build applications using generative AI? This practical book outlines the process necessary to design and build production grade AI services with a FastAPI web server that communicate seamlessly with databases, payment systems, and external APIs. You'll learn how to develop autonomous generative AI agents that stream outputs in real-time and interact with other models. Web developers, data scientists, and DevOps engineers will learn to implement end-to-end production-ready services that leverage generative AI. You'll learn design patterns to manage software complexity, implement FastAPI lifespan for AI model integration, handle long-running generative tasks, perform content filtering, cache outputs, implement retrieval augmented generation (RAG) with a vector database, implement usage/cost monitoring and tracking, protect services with your own authentication and authorization mechanisms, and effectively control stream outputs directly from GenAI models. You'll explore efficient testing methods for AI outputs, validation against databases, and deployment patterns using Docker for robust microservices in the cloud. <ul> <li>Build generative services that interact with databases, external APIs, and more </li><li>Learn how to load AI models into a FastAPI lifecycle memory </li><li>Monitor and log model requests and responses within services </li><li>Use authentication and authorization patterns hooked with generative models </li><li>Handle and cache long-running inference tasks </li><li>Stream model outputs via streaming events and WebSockets into browsers or files </li><li>Automate the retraining process of generative models by exposing event-driven endpoints </li></ul> Ali Parandeh is a Chartered Engineer with the UK Engineering Council and a Microsoft and Google certified developer, data engineer, and data scientist.

A Practical Approach to Developing Context Rich Generative AI Applications

Building Generative AI Services with Fastapi

Gateway Routing Selection Schemes for Post Disaster Recovery in Mobile AdHoc Networks bridges the gap by providing practical guidelines for an efficient design and performance evaluation of gateway selection schemes to manage the load balancing.

Gateway Routing Selection Schemes for Post Disaster Recovery in Mobile AdHoc Networks bridges the gap by providing practical guidelines for an efficient design and performance evaluation of gateway selection schemes to manage the load balancing.

Gateway Routing Selection Schemes for Post-Disaster Recovery in Mobile Ad Hoc Networks

Covering the three underlying technologies of Web pages: HTML, CSS, and JavaScript, this book is a one-stop guide to getting started in web development, be it in a class or as a solo-learner.

Covering the three underlying technologies of web pages—HTML, CSS, and JavaScript—this book is a one‑stop guide to getting started in web development, be it in a class or as a solo‑learner. Starting with no prerequisites beyond minimal exposure to programming, this book guides readers in an accessible fashion through modern page layout methods to building a complete site.This book develops an understanding of the structure of a page (how its parts fit together to convey its content to site users), how styles can make the content attractive and appealing, and how short programs and scripts can add everything from simple interactivity to complex calculations to your pages. With a wealth of in‑depth examples, review questions, exercises, and online sources and videos, readers are encouraged to excel in all of these areas, learning how to add animations, timing, designs that change in response to the characteristics of a display device, and more.Building knowledge from the ground up, this book appeals to those looking to learn web development from a range of backgrounds, be it academic, professional, or personal.

Developing Web Sites with HTML, CSS and JavaScript

Exam 98-361 Software Development Fundamentals Second Edition

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