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Podcasty
Mercury Learning and Information, D. P. Kothari, G. Awari, D. Shrimankar, ...
This book explains the mathematical concepts in computer graphics, ideal for courses in graphics, engineering, game development, and industry professionals. It starts with how images are generated on screens and covers algorithms for creating simple geometry. The book progresses through two-dimensional and three-dimensional transformations, parametric representation of planar and space curves like cubic splines and Bezier curves. It also includes programming in C, OpenGL, and methods for generating 3D models.The course begins with an introduction to computer graphics and vector representation of geometric entities. It then covers 2D and 3D transformations, parametric representation of curves and surfaces, windowing and clipping, and generating 3D models. The final chapters focus on projections and programming graphics using C and OpenGL.Understanding these concepts is crucial for mastering computer graphics. This book transitions readers from basic concepts to advanced techniques, blending theoretical knowledge with practical skills. It is an essential resource for mastering the mathematical foundations and programming techniques in computer graphics.
Microsoft Access 2021 Programming Pocket Primer. A Comprehensive Guide to Mastering Access VBA
Mercury Learning and Information, Julitta Korol
This book, part of the successful Pocket Primer series, is designed for those who need to master Access programming fundamentals quickly. You only need this concise guide to get started and feel comfortable with VBA. The concepts learned here also apply to Excel programming. The book is divided into nine chapters, each progressively introducing you to programming in Microsoft Access 2021.Beginning with an introduction to Access VBA, the book covers the Visual Basic Editor, fundamental VBA programming concepts, and how to create both built-in and custom functions. You will learn to add decision-making capabilities and repeating actions to your programs, manage multiple values using arrays and collections, and utilize built-in tools for testing and debugging your code.This structured approach ensures that by the end of the course, you will have a solid foundation in Access programming. The companion files provide all the hands-on resources needed to complete chapter projects, making this an essential resource for mastering Access VBA efficiently and effectively.
Microsoft Excel 2021 Programming Pocket Primer. A Comprehensive Guide to Mastering Excel VBA
Mercury Learning and Information, Julitta Korol
This book, part of the successful Pocket Primer series, is designed for those who need to quickly master Excel programming fundamentals. It offers a concise, efficient introduction to VBA, ensuring you only learn what you need to feel comfortable with Excel VBA. The concepts learned in this book also apply to Access programming. The nine chapters progressively introduce you to programming in Microsoft Excel 2021.Starting with a quick guide to Excel macros and the VBA programming environment, the book moves on to fundamental concepts and writing function procedures. You will learn to add decision-making capabilities and looping statements to your programs, store and manage multiple values using arrays and collections, and utilize built-in tools for testing and debugging your code.By the end of the course, you will have a solid foundation in Excel VBA, enabling you to automate tasks and enhance your productivity. This structured approach makes the book an essential resource for mastering Excel VBA efficiently and effectively.
Mercury Learning and Information, Brian Moriarty, Bernd Held, Theodor Richardson
In this updated edition for Excel 2021, Microsoft 365, and previous versions, this book reveals the secrets of Excel through practical examples in a quick reference format. It includes new chapters on data analytics and shortcut keys, making it an essential resource for both beginners and experienced users. The book is designed to help you understand, create, and apply formulas efficiently.The journey begins with an introduction to formulas, followed by chapters on logical, text, date, and time functions. You will explore statistical, mathematical, and financial functions, along with database, lookup, and reference functions. The book also delves into conditional formatting, dynamic array formulas, special solutions, and user-defined functions, providing step-by-step instructions and ready-to-use Excel screenshots.By the end of the course, you will have mastered Excel's advanced formulas and functions, enabling you to perform complex data analysis and enhance your productivity. Companion files include video tutorials, over 250 worksheet examples, and all figures from the text, ensuring a comprehensive learning experience.
Mercury Learning and Information, Jeroen Mulder
This is a comprehensive resource designed for IT professionals and cloud architects navigating the complexities of multi-cloud environments. As organizations increasingly adopt multi-cloud strategies, this guide provides essential frameworks and practical insights into managing and optimizing cloud resources across major platforms, including AWS, Azure, GCP, and Alibaba Cloud.The book begins with an exploration of Cloud Adoption Frameworks (CAFs), offering a structured approach to cloud adoption that emphasizes governance, security, and operational excellence. Subsequent chapters delve into key aspects of cloud administration, such as virtualizing and managing connectivity, storage, and compute resources. The guide also addresses advanced topics like creating interoperability between clouds, managing data governance, and ensuring data security across multiple cloud platforms.In addition to technical insights, the guide covers critical areas like access management, cloud security, and compliance automation, equipping readers with the knowledge to secure and streamline multi-cloud operations. By offering best practices, real-world examples, and in-depth analyses, this book empowers professionals to efficiently manage multi-cloud environments and leverage the full potential of cloud technologies.
Mercury Learning and Information, Roger W. Pryor
This updated edition of the book explores COMSOL 5 and MATLAB, essential modeling tools for engineers and scientists. It includes five new models and covers systems from 0D to 3D, introducing numerical analysis techniques in COMSOL 5.6 and MATLAB. Using examples from electromagnetic, electronic, optical, thermal physics, and biomedical models, the book provides fundamental concepts and step-by-step instructions for building each model. Companion files include all models and related animations.The course starts with modeling methodology and material properties, progressing through 0D electrical circuit interface, 1D, 2D, 2D axisymmetric, 2D simple and complex mixed mode, and 3D modeling. Advanced topics like Perfectly Matched Layer models and Bioheat models are also covered. Each chapter builds on the previous one, ensuring a comprehensive understanding of modeling techniques.Understanding these concepts is crucial for developing and analyzing engineering, science, and biomedical systems. This book transitions readers from basic to advanced modeling, combining theoretical knowledge with practical skills. Companion files enhance the learning experience, making this an essential resource for mastering COMSOL 5 and MATLAB.
Mercury Learning and Information, Oswald Campesato
This book introduces developers to basic concepts in NLP and machine learning, providing numerous code samples to support the topics covered. The journey begins with introductory material on NumPy and Pandas, essential for data manipulation. Following this, chapters delve into NLP concepts, algorithms, and toolkits, providing a solid foundation in natural language processing.As you progress, the book covers machine learning fundamentals and classifiers, demonstrating how these techniques are applied in NLP. Practical examples using TF2 and Keras illustrate how to implement various NLP tasks. Advanced topics include the Transformer architecture, BERT-based models, and the GPT family of models, showcasing the latest advancements in the field.The final chapters and appendices offer a comprehensive overview of related topics, including data and statistics, Python3, regular expressions, and data visualization with Matplotlib and Seaborn. Companion files with source code and figures ensure a hands-on learning experience. This book equips you with the knowledge and tools needed to excel in NLP and machine learning.
Mercury Learning and Information, Oswald Campesato
This book is for developers seeking an overview of basic concepts in Natural Language Processing (NLP). It caters to those with varied technical backgrounds, offering numerous code samples and listings to illustrate the wide range of topics covered. The journey begins with managing data relevant to NLP, followed by two chapters on fundamental NLP concepts. This foundation is reinforced with Python code samples that bring these concepts to life.The book then delves into practical NLP applications, such as sentiment analysis, recommender systems, COVID-19 analysis, spam detection, and chatbots. These examples provide real-world context and demonstrate how NLP techniques can be applied to solve common problems. The final chapter introduces advanced topics, including the Transformer architecture, BERT-based models, and the GPT family, highlighting the latest state-of-the-art developments in the field.Appendices offer additional resources, including Python code samples on regular expressions and probability/statistical concepts, ensuring a well-rounded understanding. Companion files with source code and figures enhance the learning experience, making this book a comprehensive guide for mastering NLP techniques and applications.
Mercury Learning and Information, Oswald Campesato
This book is for developers seeking an overview of basic concepts in Natural Language Processing (NLP). It caters to a technical audience, offering numerous code samples and listings to illustrate the wide range of topics covered. The journey begins with managing data relevant to NLP, followed by two chapters on fundamental NLP concepts. This foundation is reinforced with Python code samples that bring these concepts to life.The book then delves into practical NLP applications, such as sentiment analysis, recommender systems, COVID-19 analysis, spam detection, and chatbots. These examples provide real-world context and demonstrate how NLP techniques can be applied to solve common problems. The final chapter introduces advanced topics, including the Transformer architecture, BERT-based models, and the GPT family, highlighting the latest state-of-the-art developments in the field.Appendices offer additional resources, including Python code samples on regular expressions and probability/statistical concepts, ensuring a well-rounded understanding. Companion files with source code and figures enhance the learning experience, making this book a comprehensive guide for mastering NLP techniques and applications.
Navigating the Stock Market. A Practical Guide for Buying, Selling, and AI Risk Management
Mercury Learning and Information, Arshad Khan
This book is perfect for investors, financial analysts, and portfolio managers. It simplifies stock market investing, offering strategies and practical advice for all levels. Key topics include research, buying and selling strategies, and using AI for risk management. The book equips you with essential knowledge and tools for successful stock investing.The course begins with planning, research, and screening, then moves to buying strategies and identifying winning characteristics. It covers company and sector analysis, selling techniques, stock prices, valuation, profitability, market behavior, and technical analysis. Advanced topics include monitoring the economy, market indicators, and avoiding investment mistakes.Understanding these concepts is crucial for informed investment decisions. The final chapters focus on risk management and leveraging AI in stock investing, addressing AI risks and mitigation strategies. This book guides readers from basic to advanced stock market concepts, blending theory with practical skills, making it essential for mastering stock investing.
Mercury Learning and Information, Sarhan M. Musa
This new edition introduces fundamental concepts in computer networks, blockchain, cryptography, and network security. It covers classical cipher schemes, public key cryptography, authentication schemes, and Internet security, featuring new material on IoT, cloud computing, SCADA, blockchain, smart grid, big data analytics, and AI security.Starting with computer network basics and mathematical foundations, it then explores classical and modern cipher schemes, public-key cryptography, and authentication methods. Later chapters address Internet and system security, and emerging technologies.Intended as a textbook for computer science and electronics courses, it also serves as a comprehensive reference for professionals. Its structured approach ensures a thorough understanding of both foundational and advanced topics, making it essential for mastering cryptography and network security.
Mercury Learning and Information, Derek Raine
Newtonian mechanics is fundamental in physics education due to its intellectual significance, diverse applications, and its role in teaching modeling and problem-solving. This text covers both introductory and advanced topics, making it suitable for extended study. Emphasizing problem-solving, it guides readers through the process of constructing models and finding solutions, thus enhancing their analytical skills.Starting with mechanical models and forces, the course progresses through kinematics, energy, and motion, providing a solid foundation. Further chapters delve into momentum, orbital motion, and oscillations, offering insights into dynamic systems. Advanced topics like rigid bodies, stability of motion, and Lagrangian and Hamiltonian mechanics ensure a comprehensive understanding.The journey through this course equips learners with the skills to approach complex problems, construct effective models, and develop robust solutions, making it invaluable for students aiming to excel in physics and related fields.
Optimization Using Linear Programming. A Practical Guide to Mastering Linear Programming Techniques
Mercury Learning and Information, A. J. Metei, Veena Jain
This book is designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game theory to solve applied problems efficiently. It emphasizes solving linear programming problems with software like MS-Excel, Mathematica, MATLAB, WinQSB, and LINDO, while providing the necessary definitions and theorems for mastering theoretical aspects.The journey begins with basics of linear algebra using MS-Excel, followed by an introduction to linear programming problems and the graphical method. It then delves into the simplex method, duality, and sensitivity analysis. The course covers transportation, transshipment, assignment problems, and concludes with game theory. Each chapter builds on the previous one, ensuring a comprehensive understanding of the topics.Understanding these concepts is crucial for solving complex applied problems. This book transitions readers from basic to advanced techniques in numerical linear algebra and linear programming, combining theoretical knowledge with practical applications. It is an essential resource for mastering these topics and maximizing efficiency in problem-solving.
Pandas Basics. Mastering Data Analysis with Pandas
Mercury Learning and Information, Oswald Campesato
This book is essential for aspiring data scientists and anyone needing to perform data cleaning using Pandas and NumPy. It offers numerous code samples and comprehensive coverage of NumPy and Pandas features, including writing regular expressions. Chapter 3 introduces fundamental statistical concepts, while Chapter 7 delves into data visualization using Matplotlib and Seaborn. Companion files with code are available for download from the publisher.Starting with an introduction to Python, the course progresses through working with data, and then moves into Pandas, covering its functionalities in three detailed chapters. The statistical concepts provided are crucial for analyzing data effectively, while the visualization techniques enhance the ability to present data insights clearly.By the end of this course, users will have a solid foundation in data manipulation and cleaning, statistical analysis, and data visualization, enabling them to tackle real-world data science tasks confidently and efficiently.
Mercury Learning and Information, Vickie Ellen Wolper
Updated for Photoshop CC 2021, this edition offers hands-on learning with a building block teaching style. Suitable for all skill levels, it teaches photo restoration and tonal correction. Learn to repair damage, improve discolored photos, colorize black and white images, digitize large photos, and adjust content for perfect shots. Tips, notes, figures, and projects help you master restorations and enhancements.The course starts with preparing an image for Photoshop and an introduction to the software. It covers selection, layers, transformations, painting, printing, and repairing photo flaws. Advanced topics include correcting lighting, enhancing photos, and mastering trade secrets. Final chapters address special challenges and applying skills to complex projects.These skills are vital for high-quality photo restorations. This book transitions readers from basic to advanced Photoshop techniques, blending theory with practice. Companion files with photos, projects, figures, and videos enhance learning, making this an essential resource for mastering photo restoration.
Mercury Learning and Information, William McAllister, S. Jane Fritz
This Java-based book is designed for beginning programmers, using game programming as a central tool to enhance student engagement and learning outcomes. The new edition updates GUI interface chapters from Swing to FX-based programs. The game programming integration does not compromise the traditional programming material, allowing instructors unfamiliar with game programming to leverage its pedagogical benefits. The book assumes no prior programming experience.Starting with an introduction, the course progresses through variables, input/output, calculations, methods, classes, objects, boolean expressions, and decision-making. It then covers loops, arrays, advanced object-oriented concepts, inheritance, recursion, and exceptions. The latter part focuses on graphical user interfaces, generics, the API collection framework, multithreading, and concurrency.By the end of the course, students will have a comprehensive understanding of Java programming, enhanced by practical game programming applications. This approach not only makes learning more engaging but also provides a solid foundation for more advanced Java programming concepts.