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Podcasts
– Extending Excel with Python and R is a game changer resource written by experts Steven Sanderson, the author of the healthyverse suite of R packages, and David Kun, co-founder of Functional Analytics. – This comprehensive guide transforms the way you work with spreadsheet-based data by integrating Python and R with Excel to automate tasks, execute statistical analysis, and create powerful visualizations. – Working through the chapters, you’ll find out how to perform exploratory data analysis, time series analysis, and even integrate APIs for maximum efficiency. – Both beginners and experts will get everything you need to unlock Excel's full potential and take your data analysis skills to the next level. – By the end of this book, you’ll be able to import data from Excel, manipulate it in R or Python, and perform the data analysis tasks in your preferred framework while pushing the results back to Excel for sharing with others as needed.
Get ready to delve into Microsoft Azure and build efficient cloud-based solutions with this updated second edition. Authored by seasoned Microsoft trainers, Paul Ivey and Alex Ivanov, this book offers a structured approach to mastering the AZ-204 exam topics while focusing on the intricacies of Azure development.You’ll familiarize yourself with cloud fundamentals, understanding the core concepts of Azure and various cloud models. Next, you’ll gain insights into Azure App Service web apps, containers and container-related services in Azure, Azure Functions, and solutions using Cosmos DB and Azure Blob Storage. Later, you'll learn how to secure your cloud solutions effectively as well as how to implement message- and event-based solutions and caching. You’ll also explore how to monitor and troubleshoot your solutions effectively. To build on your skills, you’ll get hands-on with monitoring, troubleshooting, and optimizing Azure applications, ensuring peak performance and reliability. Moving ahead, you’ll be able to connect seamlessly to third-party services, harnessing the power of API management, event-based solutions, and message-based solutions.By the end of this MS Azure book, you'll not only be well-prepared to pass the AZ-204 exam but also be equipped with practical skills to excel in Azure development projects.
Explore the intricacies of CIO and CISO roles with The Aspiring CIO and CISO by David Gee. This book leverages Gee's 20+ years of digital and cyber leadership experience, providing real-world insights, making it a valuable resource for those navigating the evolving landscape of the C-suite.Tailored to entry-level, mid-level, and senior managers looking to advance to the C-suite, this book serves a unique purpose in the realm of career guidance. The narrative speaks directly to individuals uncertain about their readiness for CIO or CISO roles, offering a personal mentorship experience that goes beyond technicalities. Armed with insights into crafting a powerful 90-day plan, you'll be well-equipped to catapult into CIO or CISO roles successfully. Beyond technical proficiency, the book instills survival skills, ensuring longevity and helping you prevent burnout in these pivotal positions. Additionally, by mastering the art of brand development and soft skills, you'll grasp the interpersonal dynamics crucial for executive leadership. This book is an indispensable guide for ambitious professionals, offering foresight and empowerment to thrive in the digital age.By the end of this book, you'll emerge with strategic dexterity, confidently steering your career trajectory towards the C-suite.
Lem Apperson, Jonathan Weinberger
As developers tackle the growing complexity of creating immersive, high-performance games, the need for robust and efficient scripting continues to increase. Written by a game developer and Unity/C# expert known for his Apple App Store titles and extensive certifications, this book will help both new and seasoned developers overcome this challenge by helping you build a solid foundation in C# scripting within Unity and navigate the increasing demands of real-time game development.You’ll explore Unity-specific strategies for creating engaging user interfaces, vital in today's dynamic gaming landscape. The chapters walk you through Unity-specific classes and methods, empowering you to create diverse gaming experiences in both 3D and 2D environments. You’ll also manage complex developmental aspects, including AI, multiplayer setups, and VR integration, which are becoming increasingly relevant in the evolving gaming industry. The book serves as an invaluable resource for troubleshooting, offering techniques for debugging C# scripts and optimizing game performance—essential for crafting smooth and immersive gaming experiences.By the end of this book, you’ll be able to create both simple and complex games in Unity, opening doors to careers in game development and interactive media design.
Ever dreamed of creating your own manga art or comic books? Learn Clip Studio Paint, Fourth Edition, is your roadmap to becoming a digital artist! This beginner-friendly guide takes you on a step-by-step journey of digital illustration.You'll get to grips with one of the essential features of digital illustration, layering, as you go through the process of penciling and inking your art. If you're interested in creating a webtoon graphic novel or web comic, you'll be happy to learn about comic-making essentials such as panels, sound effects, and speech bubbles.In this edition, you'll learn artistic techniques alongside Clip Studio Paint features, including a new focus on how to bring your artwork to life with proportions and perspective. You'll learn how to draw characters with various brushes and brush customizations, as well as exploring coloring methods and rulers to make your stories pop. This edition also dives into exciting new features like using 3D models to draw poses and the basics of creating animations. Packed with clear instructions and illustrated examples, this book is your one-stop shop for learning Clip Studio Paint. If you dream of creating your own manga art or comics, this guide equips you with the skills required to achieve your goals.
Manu Joseph, Jeffrey Tackes, Christoph Bergmeir
Predicting the future, whether it's market trends, energy demand, or website traffic, has never been more crucial. This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. Whether you’re working with traditional statistical methods or cutting-edge deep learning architectures, this book provides structured learning and best practices for both.Starting with the basics, this data science book introduces fundamental time series concepts, such as ARIMA and exponential smoothing, before gradually progressing to advanced topics, such as machine learning for time series, deep neural networks, and transformers. As part of your fundamentals training, you’ll learn preprocessing, feature engineering, and model evaluation. As you progress, you’ll also explore global forecasting models, ensemble methods, and probabilistic forecasting techniques.This new edition goes deeper into transformer architectures and probabilistic forecasting, including new content on the latest time series models, conformal prediction, and hierarchical forecasting. Whether you seek advanced deep learning insights or specialized architecture implementations, this edition provides practical strategies and new content to elevate your forecasting skills.
Microsoft's Azure Data Fundamentals (DP-900) certification exam validates your expertise in core data concepts and Azure’s powerful data services capabilities. This comprehensive guide written by Steve Miles—a Microsoft Azure MVP and certified trainer with over 25 years of experience in cloud data services and 30+ certifications across major platforms—serves as your gateway to a future shaped by data and AI, regardless of your technical background.With the help of examples, you'll learn fundamental data concepts, including data representation, data storage options, and common workloads and gain clarity on the roles and responsibilities of key data professionals such as data administrators, engineers, and analysts. This guide covers all crucial exam domains, from data services capabilities of the Azure cloud platform to considerations for relational, non-relational, and analytics workloads, encompassing both Microsoft and open-source technologies.To supplement your exam prep, this book gives you access to a suite of online resources designed to boost your confidence, including mock tests, interactive flashcards, and invaluable exam tipsBy the end of this book, you’ll be fully prepared not only to pass the DP-900 exam but also to confidently tackle data solutions in Azure, setting a strong foundation for your data-driven career
Jimmy Engström, Steve Sanderson
Web Development with Blazor is your essential guide to building and deploying interactive web applications in C# – without relying on JavaScript.Written by an early Blazor adopter and updated for .NET 8, this book takes you through the end-to-end development of an example app, helping you to overcome common challenges along the way. You’ll pick up both Blazor Server and Blazor WebAssembly and discover cutting-edge tools to enrich your development experience.Responding to evolving needs, this edition introduces flexible hosting models, allowing you to mix and match hosting approaches to create flexible and scalable Blazor applications. It also presents the new Blazor templates, which provide ready-made solutions to simplify and expedite development. You'll learn about the game-changing server-side rendering (SSR), a hybrid hosting model blending the strengths of Blazor Server and Blazor WebAssembly, as well as streaming rendering, a new technique that boosts the performance and user experience of Blazor apps.By the end of this book, you'll have the confidence you need to create and deploy production-ready Blazor applications using best practices, along with a big-picture view of the Blazor landscape.
Dr. Gerald Auger, Jaclyn "Jax" Scott, Jonathan Helmus, Kim Nguyen, ...
Cybersecurity is an emerging career trend and will continue to become increasingly important. Despite the lucrative pay and significant career growth opportunities, many people are unsure of how to get started.This audiobook is designed by leading industry experts to help you enter the world of cybersecurity with confidence, covering everything from gaining the right certification to tips and tools for finding your first job. The audiobook starts by helping you gain a foundational understanding of cybersecurity, covering cyber law, cyber policy, and frameworks. Next, you'll focus on how to choose the career field best suited to you from options such as security operations, penetration testing, and risk analysis. The audiobook also guides you through the different certification options as well as the pros and cons of a formal college education versus formal certificate courses. Later, you'll discover the importance of defining and understanding your brand. Finally, you'll get up to speed with different career paths and learning opportunities.By the end of this cyber audiobook, you will have gained the knowledge you need to clearly define your career path and develop goals relating to career progression.
Huage Chen, Yazid Akadiri, Shay Banon
Learn how to make the most of the Elastic Stack (ELK Stack) products—including Elasticsearch, Kibana, Elastic Agent, and Logstash—to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This cookbook takes a practical approach to unlocking the full potential of Elastic Stack through detailed recipes step by step.Starting with installing and ingesting data using Elastic Agent and Beats, this book guides you through data transformation and enrichment with various Elastic components and explores the latest advancements in search applications, including semantic search and Generative AI. You'll then visualize and explore your data and create dashboards using Kibana. As you progress, you'll advance your skills with machine learning for data science, get to grips with natural language processing, and discover the power of vector search. The book covers Elastic Observability use cases for log, infrastructure, and synthetics monitoring, along with essential strategies for securing the Elastic Stack. Finally, you'll gain expertise in Elastic Stack operations to effectively monitor and manage your system.
Curious why so many rely on Scrum and what makes Agile so effective? Learn from seasoned software engineer and Scrum expert Fred Heath, everything you need to become a certified Scrum Master. With over two decades of experience across the software development lifecycle, Fred brings invaluable insights from his extensive work in Scrum, both as a Scrum Master and developer. In this updated guide, he not only takes you from Scrum basics to mastery but also offers practical, real-world knowledge to help you become an effective Scrum Master.The first part of the book introduces the Scrum fundamentals and prepares you for Level I certification, covering the importance of Scrum team structure, the benefits of well-planned sprints, and how to create and manage sprint and product backlogs.The second part elevates your skills to the Level II certification standard, exploring advanced topics such as Scrum anti-patterns, scaling Scrum, and how to support developers and product owners. Each chapter concludes with quizzes to reinforce the concepts you've learned. The book wraps up with exam preparation tips and myth-busting strategies to give you a competitive edge in passing your Scrum Master exams.By the end of this book, you'll be proficient as a Scrum Master ensuring you won’t fall behind in an ever-increasingly agile world.
This book is for Django developers looking to create optimized and scalable web applications using microservices. With it, you’ll learn the principles of microservices and message/task queues and build your first microservices with Django RESTful APIs (DFR) and RabbitMQ. You’ll also master the fundamentals, dockerize your microservices, and optimize and secure them for production environments. By the end, you'll have the skills to design and develop production-ready Django microservices applications with DFR, Celery/RabbitMQ, Redis, and Django's cache framework.
The course begins with an engaging introduction to the world of Artificial Intelligence, making it approachable for absolute beginners. We unravel the mysteries of AI's evolution, from its historical roots to the cutting-edge technologies shaping our future. By explaining complex concepts in simple terms, this course aims to illuminate the path for those curious about how AI impacts our world.The course focuses on the core components of AI, including machine learning, deep learning, and natural language processing, before advancing to more specialized topics like generative AI and computer vision. Each module is designed to build a comprehensive understanding, emphasizing why these technologies are crucial for solving real-world problems and how they're transforming industries.The course wraps up by exploring the ethical considerations and privacy concerns associated with AI, along with a visionary look at the future of work in an AI-driven world. It offers a treasure trove of further resources, ensuring learners have everything they need to continue their exploration of AI.
Valery Manokhin, Agus Sudjianto
In the rapidly evolving landscape of machine learning, the ability to accurately quantify uncertainty is pivotal. Practical Guide to Applied Conformal Prediction in Python addresses this need by offering an in-depth exploration of Conformal Prediction, a cutting-edge framework set to revolutionize uncertainty management in various ML applications.Embark on a comprehensive journey through Conformal Prediction, exploring its fundamentals and practical applications in binary classification, regression, time series forecasting, imbalanced data, computer vision, and NLP. Each chapter delves into specific aspects, offering hands-on insights and best practices for enhancing prediction reliability. The book concludes with a focus on multi-class classification nuances, providing expert-level proficiency to seamlessly integrate Conformal Prediction into diverse industries. Practical examples in Python using real-world datasets reinforce intuitive explanations, ensuring you acquire a robust understanding of this modern framework for uncertainty quantification.This guide is a beacon for mastering Conformal Prediction in Python, providing a blend of theory and practical application. It serves as a comprehensive toolkit to enhance machine learning skills, catering to professionals from data scientists to ML engineers.
The IBM Quantum Platform was built to enable developers to learn the basics of quantum computing by providing access to high performant quantum computers and provide documentation and courses to help get up to speed with the latest features in quantum computing. Updated with new examples and changes to the platform, this edition begins with an introduction to the IBM Quantum Platform and the Quantum Information Science Kit (Qiskit) SDK. You will become well versed in the IBM Quantum Composer interface as well as running your quantum circuits on a real quantum computer. Along the way, you’ll learn some of the fundamental principles regarding quantum mechanics, qubits, quantum gates, quantum circuits, and the error mitigation techniques that are used to perform operations on qubits. As you build on your knowledge, you’ll understand the functionality of IBM Qiskit and the developer-focused resources so you can create your own quantum algorithms. You’ll learn how to monitor and optimize your quantum circuits. Lastly, you’ll look at the fundamental quantum algorithms and understand how they can be applied effectively. By the end of this quantum computing book, you'll know how to build quantum algorithms and will have gained a practical understanding of quantum computation that you can apply to your research or business.
Data science combines the power of data with the rigor of scientific methodology, with mathematics providing the tools and frameworks for analysis, algorithm development, and deriving insights. As machine learning algorithms become increasingly complex, a solid grounding in math is crucial for data scientists. David Hoyle, with over 30 years of experience in statistical and mathematical modeling, brings unparalleled industrial expertise to this book, drawing from his work in building predictive models for the world's largest retailers. Encompassing 15 crucial concepts, this book covers a spectrum of mathematical techniques to help you understand a vast range of data science algorithms and applications. Starting with essential foundational concepts, such as random variables and probability distributions, you’ll learn why data varies, and explore matrices and linear algebra to transform that data. Building upon this foundation, the book spans general intermediate concepts, such as model complexity and network analysis, as well as advanced concepts such as kernel-based learning and information theory. Each concept is illustrated with Python code snippets demonstrating their practical application to solve problems.By the end of the book, you’ll have the confidence to apply key mathematical concepts to your data science challenges.
Nate Chamberlain, Peter Rising
MS-700 Managing Microsoft Teams Exam Guide, Third Edition provides a thorough exploration of Microsoft Teams administration, charting a clear pathway to mastering deployment, management, and optimization within the Microsoft 365 ecosystem. Devoted to empowering users to harness the full potential of Microsoft 365 tools, Nate Chamberlain draws from his extensive experience as a Microsoft Certified Trainer and Project Management Professional, to infuse this guide with educational insights into Microsoft Teams administration.This edition equips you with the latest features and essential knowledge to navigate the Teams admin center and use PowerShell for comprehensive management. This guide instills confidence for the MS-700 certification exam while serving as a handy reference for daily administration. Through concise chapters, you'll uncover Teams policies, essential settings, and configuration nuances crucial for any Teams administrator. Complex concepts are distilled into actionable strategies and best practices, preparing you for real-world challenges in deploying and managing Teams. It also includes web-based exam prep resources like mock exams, interactive flashcards, and valuable exam tips.By the end of this book, you’ll be primed to excel in the exam and advance in your role as a skilled Microsoft Teams administrator.
This book will help you master Amazon DynamoDB, the fully managed, serverless, NoSQL database service designed for high performance at any scale. Authored by Aman Dhingra, senior DynamoDB specialist solutions architect at AWS, and Mike Mackay, former senior NoSQL specialist solutions architect at AWS, this guide draws on their expertise to equip you with the knowledge and skills needed to harness DynamoDB's full potential.This book not only introduces you to DynamoDB's core features and real-world applications, but also provides in-depth guidance on transitioning from traditional relational databases to the NoSQL world. You'll learn essential data modeling techniques, such as vertical partitioning, and explore the nuances of DynamoDB's indexing capabilities, capacity modes, and consistency models. The chapters also help you gain a solid understanding of advanced topics such as enhanced analytical patterns, implementing caching with DynamoDB Accelerator (DAX), and integrating DynamoDB with other AWS services to optimize your data strategies.By the end of this book, you’ll be able to design, build, and deliver low-latency, high-throughput DynamoDB solutions, driving new levels of efficiency and performance for your applications.
Unleashing the Power of Data with Trusted AI. A guide for board members and executives
Written by a distinguished leader and innovator who has been instrumental in spearheading digital, cloud, and AI transformations across global brands, Unleashing the Power of Data with Trusted AI is an indispensable resource that will make you AI-ready.This comprehensive guide is designed to meet the urgent need for clarity and to give you actionable insights into today's rapidly evolving landscape of AI and its fundamental driver - data. You’ll delve into the exciting world of AI and its integration with data, uncover its significance, ethical considerations, and strategic applications with real-life success stories from industry giants like Starbucks, Netflix, and Siemens. You’ll also witness first-hand how the integration of data and AI has reshaped markets and elevated customer experiences, and discover the future of generative AI based on several surveys and case studies. You’ll gain an understanding of how AI has evolved across industries, empowering decision-making and fostering innovation. Tailored for board members, executives, innovators, and tech enthusiasts, this immersive guide will reshape your understanding of data and AI synergy.By the end of this guide, you’ll be able to lead your teams, customers, partners, and organizations confidently and responsibly in the era of AI.
Traditionally associated with Windows desktop applications and game development, C# has expanded into web, cloud, and mobile development. However, despite its extensive coding features, professionals often encounter issues with efficiency, scalability, and maintainability due to poor code. Clean Code in C# guides you in identifying and resolving these problems using coding best practices.This book starts by comparing good and bad code to emphasize the importance of coding standards, principles, and methodologies. It then covers code reviews, unit testing, and test-driven development, and addresses cross-cutting concerns. As you advance through the chapters, you’ll discover programming best practices for objects, data structures, exception handling, and other aspects of writing C# computer programs. You’ll also explore API design and code quality enhancement tools, while studying examples of poor coding practices to understand what to avoid.By the end of this clean code book, you’ll have the developed the skills needed to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code.
In this AI era, employing leading machine learning and AI models such as ChatGPT for responding to customer feedback and prototyping applications is crucial to drive business success in the competitive market. This book is an indispensable guide to integrating cutting-edge technology into business operations and leveraging AI to analyze sentiment at scale, helping free up valuable time to enhance customer relationships.Immerse yourself in the future of AI-enabled application development by working with Power Automate, Power Apps, and the new Copilot Studio. With this book, you’ll learn foundational AI concepts as you explore the extensive capabilities of the low-code Power Platform. You’ll see how Microsoft's advanced machine learning technologies can streamline common business tasks such as extracting key data elements from customer documents, reviewing customer emails, and validating passports and drivers’ licenses. The book also guides you in harnessing the power of generative AI to expedite tasks like creating executive summaries, building presentations, and analyzing resumes. You’ll build apps using natural language prompting and see how ChatGPT can be used to power chatbots in your organization.By the end of this book, you’ll have charted your path to developing your own reusable AI automation patterns to propel your business operations into the future.
Embark on a journey through Red Hat Enterprise Linux 9, beginning with the basics of local installation and initial system interactions. Our course guides you through fundamental and advanced file management techniques, ensuring you can handle any file-related tasks with ease. Explore user management in-depth, from basic to advanced levels, providing you with the skills to manage users and groups effectively.Delve into the core aspects of the Linux operating system, including the Bash shell, process management, and job scheduling. Gain expertise in package management, both basic and advanced, to keep your system up-to-date and efficient. Understand the intricacies of the Linux boot process, system initialization, and system tuning to optimize performance and reliability.The course also covers essential networking concepts, including device management, connections, and hostname resolution. You'll learn to secure your system with SSH, firewall configuration, and SELinux. Additionally, explore storage management, local file systems, and swap configurations to ensure robust data handling. Finally, enhance your automation skills with shell scripting and containers, preparing you for modern DevOps environments.
Determining causality in data is difficult due to confounding factors. Written by an applied scientist specializing in causal inference with over a decade of experience, Causal Inference in R provides the tools and methods you need to accurately establish causal relationships, improving data-driven decision-making.This book helps you get to grips with foundational concepts, offering a clear understanding of causal models and their relevance in data analysis. You’ll progress through chapters that blend theory with hands-on examples, illustrating how to apply advanced statistical methods to real-world scenarios. You’ll discover techniques for establishing causality, from classic approaches to contemporary methods, such as propensity score matching and instrumental variables. Each chapter is enriched with detailed case studies and R code snippets, enabling you to implement concepts immediately. Beyond technical skills, this book also emphasizes critical thinking in data analysis to empower you to make informed, data-driven decisions. The chapters enable you to harness the power of causal inference in R to uncover deeper insights from data.By the end of this book, you’ll be able to confidently establish causal relationships and make data-driven decisions with precision.
Qamar Nomani, Julie Davila, Rehman Khan
This book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that’ll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures.The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you’ll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting.As you progress, you’ll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You’ll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments.By the end of this book, you’ll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations.