Computer Graphics Programming in OpenGL With C++ (Edition 3). Mastering 3D Graphics and Animation Techniques

Mercury Learning and Information, V. Scott Gordon, John L. Clevenger

This edition provides step-by-step instruction on modern OpenGL 4.0+ GLSL shader programming with C++, covering theoretical foundations of 3D computer graphics. Every shader stage is explored, from basics like modeling, textures, lighting, and shadows, to advanced techniques such as tessellation, noise maps, water, and stereoscopy. Expanded coverage includes camera control, refraction, and ray tracing with bounding volume hierarchies. Companion files include source code, shaders, model files, and skyboxes for all examples in the book.Understanding these concepts is crucial for creating sophisticated 3D graphics applications. The course begins with OpenGL basics and pipeline understanding, followed by mathematical foundations and managing 3D graphics data. It covers texture mapping, 3D models, lighting, shadows, enhancing surface detail, and advanced topics like parametric surfaces, tessellation, and geometry shaders. Final chapters delve into simulating water, ray tracing, and stereoscopy for 3D graphics.This book equips readers with the knowledge to master OpenGL programming and 3D graphics, making it invaluable for developers and enthusiasts aiming to advance their skills. The practical approach and comprehensive examples ensure thorough learning, bridging the gap between theory and real-world application.

Data Analytics. Master the Art of Data Analytics with Essential Tools and Techniques

Mercury Learning and Information, Christopher Greco

Data analytics is becoming increasingly important in our daily lives. This book offers a comprehensive view of data analytics skills, starting with a primer on statistics and progressing to the application of these methods. The text includes various formulas and algorithms used in data analytics, which can be applied in any software to achieve desired results. Through numerous demonstrations, it provides clear instruction on how to incorporate data analytics into critical thinking.The book covers a range of methods and techniques, supplemented with case studies specific to project managers, systems engineers, and cybersecurity professionals. Each profession can practice data analytics relevant to their fields. The main objective is to refresh statistical knowledge necessary for building data analytics models and to foster analytical thinking essential across these professions.From introducing statistics and data to reviewing central tendency measures and probability, the book moves to more complex topics like effect size, analysis methods, and data presentation. By the end of the course, readers will be well-versed in data analytics, ready to apply these skills effectively in their respective fields, enhancing decision-making and analytical thinking.

Python 3 for Machine Learning. Harness the Power of Python for Advanced Machine Learning Projects

Mercury Learning and Information, Oswald Campesato

This book introduces basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter covers fundamental machine learning concepts. The sixth chapter dives into machine learning classifiers, such as logistic regression, k-NN, decision trees, random forests, and SVMs. The final chapter includes material on natural language processing (NLP) and reinforcement learning (RL). Keras-based code samples supplement the theoretical discussion.The course begins with Python basics, including conditional logic, loops, functions, and collections. It then explores data manipulation with NumPy and Pandas. The journey continues with an introduction to machine learning, focusing on essential concepts and classifiers. Advanced topics like NLP and RL are covered, ensuring a comprehensive understanding of machine learning.These concepts are crucial for developing machine learning applications. This book transitions readers from basic Python programming to advanced machine learning techniques, blending theory with practical skills. Appendices for regular expressions, Keras, and TensorFlow 2, along with companion files, enhance learning, making this an essential resource for mastering Python and machine learning.

AutoCAD 2025 3D Modeling. Master essential 3D modeling techniques with AutoCAD 2025

Mercury Learning and Information, Munir Hamad

Master the art of 3D modeling with this comprehensive book tailored for AutoCAD 2025. Designed for beginners and experienced users alike, this book begins with an introduction to the AutoCAD 3D environment, providing clear and concise instructions for navigating its interface and essential tools. By building a strong foundation, it sets the stage for more advanced techniques.As the chapters progress, readers are introduced to creating and editing solids, meshes, and surfaces, exploring AutoCAD’s powerful commands and features. Learn how to apply realistic materials, incorporate lighting, and generate stunning 3D renderings to bring your designs to life. The guide also delves into converting and sectioning tools, enabling you to create detailed and precise outputs for professional use.By the end of this book, readers will have acquired a deep understanding of AutoCAD’s 3D capabilities, empowering them to tackle complex design challenges with confidence. Whether you are an architect, engineer, or CAD enthusiast, this guide will equip you with the skills to enhance productivity and deliver outstanding results.

Excel 2021 / Microsoft 365 Programming By Example. A Comprehensive Guide to Mastering Excel VBA

Mercury Learning and Information, Julitta Korol

Updated for Excel 2021, this book is a practical guide for those proficient with the Excel user interface and looking to automate routine tasks. It introduces programming concepts through numerous hands-on exercises, progressing to advanced topics via custom projects. The journey begins with recording and editing macros, writing VBA code, and extends to programming the Ribbon interface and working with XML documents. The course covers automating operations on files, folders, and other Microsoft Office applications. It also delves into event procedures, testing, and debugging. Advanced features include working with VBA classes and raising custom events in standalone class modules. By mastering these skills, users can significantly enhance their productivity and efficiency in Excel.The book's structure, with 29 chapters and over 275 examples, ensures comprehensive learning. Companion files with source code, projects, and figures further support the user. This course is essential for anyone aiming to streamline their Excel tasks and harness the full power of Excel programming.

Network Security and Cryptography. A Comprehensive Guide to Network Protection and Encryption Techniques

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.

Natural Language Processing Fundamentals for Developers. A Practical Guide to Building NLP 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 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.

Data Science Tools. Comprehensive Guide to Mastering Fundamental Data Science and Statistics Techniques

Mercury Learning and Information, Christopher Greco

This book introduces popular data science tools and guides readers on how to use them effectively. It covers data analysis using Microsoft Excel, KNIME, R, and OpenOffice, applying statistical concepts such as confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis with real data from Federal Government sources.The course begins with the basics, including importing data and conducting various statistical tests. It progresses to specific methods for each tool, ensuring a comprehensive understanding of data analysis. Capstone exercises provide hands-on experience, reinforcing the concepts learned throughout the book.Understanding these tools and concepts is crucial for effective data analysis. This book takes readers from the basics to advanced statistical methods, combining theoretical insights with practical applications. Companion files with source code and data sets enhance the learning experience, making this book an essential resource for mastering data analysis with popular software applications.

Flowchart and Algorithm Basics. Learn the Art of Programming through this Guide to Selection, Looping, Arrays, and File Processing

Mercury Learning and Information, A. B. Chaudhuri

This book equips readers with efficient, well-structured program logics using flowcharts and algorithms. Flowcharting helps create sequences of steps to solve problems through arithmetic and logical manipulations, essential for instructing computers. Applied examples from various subjects encourage readers to grasp the logic leading to solid programming basics.The course begins with an introduction to programming, moving on to problems involving selection, looping, and arrays. It concludes with the art of file processing. Each chapter builds on the previous one, ensuring a comprehensive understanding of programming logic and flowcharting techniques.Understanding these concepts is crucial for developing effective computer instructions. This book transitions readers from basic to advanced problem-solving skills, combining theoretical knowledge with practical examples. It is an essential resource for mastering programming logic and flowcharting.

Text Analytics for Business Decisions. Mastering Techniques for Insightful Data Interpretation through a Case Study Approach

Mercury Learning and Information, Andres Fortino

This book leverages advanced techniques and tools in data science to extend data analysis from numeric and categorical data to textual data. Designed for business analysts, it uses a case study approach to teach skills in extracting insights from text data, supporting business decision-making. Exercises primarily use Excel and R, covering techniques from basic text analytics to sophisticated methods like topic extraction and text similarity scoring.The course begins with framing analytical questions and exploring analytical tool sets. It progresses through preparing data files, performing word frequency and keyword analysis, and conducting sentiment analysis. Advanced topics include visualizing text data, coding, named entity recognition, and topic recognition in documents. The book also covers text similarity scoring and the analysis of large datasets by sampling.Throughout this journey, readers will apply the CRISP-DM data mining standard, using companion files with numerous datasets for practical exercises. By the end, participants will have a comprehensive understanding of text analytics, enabling them to derive meaningful insights from textual data to inform business strategies.

Python 3 Data Visualization Using Google Gemini. Unlock the Power of Python and Google Gemini for Stunning Data Visualizations

Mercury Learning and Information, Oswald Campesato

This book teaches Python 3 programming and data visualization, exploring cutting-edge techniques with ChatGPT/GPT-4 for generating compelling visuals. It starts with Python essentials, covering basic data types, loops, functions, and advanced constructs like dictionaries and matrices. The journey progresses to NumPy's array operations and data visualization using libraries such as Matplotlib and Seaborn. The book also covers tools like SVG graphics and D3 for dynamic visualizations.The course begins with foundational Python concepts, moves into NumPy and data visualization with Pandas, Matplotlib, and Seaborn. Advanced chapters explore ChatGPT and GPT-4, demonstrating their use in creating data visualizations from datasets like the Titanic. Each chapter builds on the previous one, ensuring a comprehensive understanding of Python and visualization techniques.These concepts are crucial for Python practitioners, data scientists, and anyone in data analytics. This book transitions readers from basic Python programming to advanced data visualization, blending theoretical knowledge with practical skills. Companion files with code, datasets, and figures enhance learning, making this an essential resource for mastering Python and data visualization.

Market Research and Analysis. Mastering Market Research: Advanced Methods, Design, and Data Analysis

Mercury Learning and Information, Marcus Goncalves

This book offers an in-depth exploration of market research and analysis, guiding readers through the entire process from defining research objectives to communicating results. Begin by understanding the purpose and ethics of market research, laying a strong groundwork for your studies. Progress to defining precise research objectives and exploring secondary research methods to gather existing information.Next, engage with primary research methods, focusing on both quantitative and qualitative approaches. Learn how to develop and distribute surveys, choose the right sampling techniques, and utilize tools for data mining and web scraping. Gain insights into focus groups and observation studies, understanding how these qualitative methods can provide depth to your research.Finally, master the art of data analysis and result communication. Explore descriptive statistics, hypothesis testing, and inferential statistics to make sense of your data. Learn to effectively present your findings to stakeholders, ensuring your research translates into actionable insights. By the end of the course, you will be well-equipped to conduct thorough market research and communicate your results effectively.

Python 3 Using ChatGPT / GPT-4. Harnessing AI for Efficient Python Programming

Mercury Learning and Information, Oswald Campesato

This book is for people who want to learn Python 3 and how to use ChatGPT with Python. It starts with an introduction to Python programming, covering data types, number formatting, Unicode handling, and text manipulation. The book then covers loops, conditional logic, reserved words, user input, exception management, and command-line arguments.The journey continues into Generative AI, discussing its distinction from Conversational AI. Popular platforms like ChatGPT and GPT-4 are explored, along with their strengths, weaknesses, and potential applications. The book shows how to generate Python 3 code samples via ChatGPT using the “Code Interpreter” plugin.Understanding these concepts is crucial for navigating Python and AI. This book transitions readers from basic Python programming to advanced AI applications, blending theory with practical skills. Companion files with code samples and figures enhance learning, making this an essential resource for mastering Python and ChatGPT.

Big Data Using Hadoop and Hive. Master Big Data Solutions with Hadoop and Hive

Mercury Learning and Information, Nitin Kumar

This book is a guide for developers and engineers to use Hadoop and Hive for scalable big data applications. It covers reading, writing, and managing large datasets with Hive and provides a concise introduction to Apache Hadoop and Hive, detailing their collaboration to simplify development. Through clear examples, the book explains the logic, code, and configurations needed for building successful distributed applications.The course starts with an introduction to big data and Apache Hadoop fundamentals. It then covers the Hadoop Distributed Filesystem and how to get started with Hadoop. The journey continues with interfaces to access HDFS files, resource management with Yet Another Resource Negotiator, and MapReduce for data processing. The book also explores Hive architecture, storage types, and the Hive query language.Mastering these concepts is vital for creating scalable big data solutions. This book ensures a smooth transition from novice to proficient Hadoop and Hive user, providing practical skills and comprehensive knowledge. By the end, readers will be able to set up, configure, and optimize Hadoop, utilize Hive for data management, and effectively solve big data challenges.

C Programming Pocket Primer. An Essential Guide to C Programming Basics

Mercury Learning and Information, Oswald Campesato

As part of the Pocket Primer series, this book provides an overview of major concepts in C programming. It covers essential techniques, including up-to-date information on the C11 standard and comprehensive chapters on pointers. Companion files with source code and figures from the book are included.The course begins with an introduction to C, moving through conditional logic, loops, and arrays. It then delves into functions and provides detailed coverage of pointers, essential for mastering C programming. Miscellaneous topics are also addressed to ensure a well-rounded understanding.Understanding these concepts is crucial for developing efficient C programs. This book transitions readers from beginners to proficient C programmers, combining theoretical knowledge with practical skills. Companion files enhance the learning experience, making this book an invaluable resource for mastering C programming.

Combating Cyberattacks Targeting the AI Ecosystem. Strategies to secure AI systems from emerging cyber threats, risks, and vulnerabilities

Mercury Learning and Information, Aditya K. Sood

Artificial intelligence is transforming industries, but it also exposes organizations to new cyber threats. This course begins by introducing the foundational concepts of securing large language models (LLMs), generative AI applications, and the broader AI infrastructure. Participants will explore the evolving threat landscape, gaining insights into how attackers exploit vulnerabilities in AI systems and the risks posed by trust and compliance failures.The course provides real-world case studies to highlight attack vectors like adversarial inputs, data poisoning, and model theft. Participants will learn practical methods for identifying and mitigating vulnerabilities in AI systems. These insights prepare learners to proactively safeguard their AI infrastructures using advanced security assessment techniques.Finally, the course equips participants with actionable strategies to defend AI systems. You’ll learn to protect sensitive data, implement robust security measures, and address ethical challenges in AI. By the end, you’ll be ready to secure AI ecosystems and adapt to the fast-evolving AI security landscape.

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.

Artificial Intelligence Basics. A Self-Teaching Introduction

Mercury Learning and Information, N. Gupta, R. Mangla

This book is designed as a self-teaching introduction to the fundamental concepts of artificial intelligence (AI). It begins with the history of AI, the Turing test, and early applications, providing a strong foundation. Later chapters cover the basics of searching, game playing, and knowledge representation. The journey continues with detailed explorations of expert systems and machine learning, equipping readers with essential AI techniques.As the course progresses, you will delve into separate programming chapters on Prolog and Python, learning how to implement AI concepts in these languages. These chapters offer practical coding experience, enhancing your understanding of AI programming. The book culminates with a comprehensive chapter on AI machines and robotics, showcasing numerous modern applications and providing a glimpse into the future of AI technology.Understanding these AI concepts is crucial as they form the basis of many modern technologies and applications. This book ensures a smooth transition from a beginner to a proficient AI practitioner, equipped with both theoretical knowledge and practical skills. By the end of the book, you will have a thorough understanding of AI's history, core principles, and practical implementations, ready to apply this knowledge to real-world problems and projects.

Mathematical Formulas and Scientific Data. Master the Foundations of Mathematics and Physics with This Comprehensive Guide

Mercury Learning and Information, C. P. Kothandaraman

This course serves as a comprehensive reference guide for engineers, mathematicians, scientists, and industry professionals, covering essential mathematical formulas and key scientific data. It is divided into two parts: mathematical formulas including algebra, trigonometry, analytic geometry, differential and integral calculus, and vectors; and scientific data covering units, properties of gases, elements, acoustics, materials, thermodynamics, radioactivity, and more.Understanding these concepts is crucial for professionals, providing a solid foundation for their work. The course explains technical terms, theorems, and applicable laws in detail, ensuring clarity and practical understanding. Each chapter provides valuable insights and data fundamental for scientific and engineering applications.Starting with algebra and geometry, the course advances through calculus and vectors, then explores scientific data in various fields. By the end, users will have a thorough reference of critical formulas and data, making it indispensable for students and professionals. This structured approach ensures learners gain both theoretical knowledge and practical applications essential for their careers.

Fintech Fundamentals. Understanding Emerging Technologies and Their Impact on Modern Industries

Mercury Learning and Information, Len Mei

This book explores the digital technologies essential for building the new digital economy. It delves into concepts such as cloud and edge computing, 5G telecommunication, blockchain, big data, and AI, explaining how these technologies enable the digital economy. It also examines the impact of financial technology on both traditional and emerging industries, providing a comprehensive introduction for those interested in further research on these subjects.The course begins with an introduction to the digital economy, followed by detailed discussions on various foundational technologies. Topics such as cloud and edge computing, 5G, blockchain, and AI are covered, highlighting their roles in the digital economy. The book also addresses the transformation of financial services and the impact of fintech on various industries, offering a broad understanding of the current and future landscape.Designed for professionals and researchers, this book equips readers with the knowledge to understand and engage with the digital economy. It provides a solid foundation for further exploration, making it an essential resource for those looking to navigate and contribute to the evolving digital world.

Game Development Using Python. Mastering Interactive Game Creation and Development through Python

Mercury Learning and Information, James R. Parker

This book guides you through the basic game development process using Python, covering essential topics such as graphics, sound, artificial intelligence, animation, and game engines. Real games are created as you progress through the text, and significant parts of a game engine are built and made available for download. New chapters on card games and a side-scroller are included. The companion files contain all the resources described in the book, including example code, game assets, video/sound editing software, and color figures.The course begins with an introduction to how games work, followed by in-depth chapters on graphics and images, the game loop, and game AI, specifically focusing on collision detection. It then moves on to navigation, control, and sound, guiding you through creating a jet boat race game. Advanced topics such as animation, networking, and platformers are covered, providing a comprehensive understanding of game development.Designed for both beginners and those with some experience, this book equips readers with the skills needed to develop their own games. It emphasizes practical application, ensuring you can implement what you learn. By the end of the course, you will have a solid foundation in game development and the ability to create engaging, interactive games using Python.

Access 2021 / Microsoft 365 Programming by Example. Mastering VBA for Data Management and Automation

Mercury Learning and Information, Julitta Korol

Updated for Access 2021 and based on bestselling editions, this book is a practical guide on Access programming, perfect for users proficient with the Access UI. It introduces programming concepts through illustrated hands-on exercises and custom projects. You will learn to write and test code with the Visual Basic Editor, use VBA structures like conditions, loops, arrays, collections, and dictionaries, and reprogram database characteristics.The book covers building database solutions with Data Access Objects (DAO) and ActiveX Data Objects (ADO), defining database objects, and managing database security with SQL. It explores enhancing user interaction with Ribbon customizations and event programming in forms and reports. Additionally, you'll learn to use Access with XML and REST API.From getting started with Access VBA to advanced event programming and macros, this book ensures a comprehensive understanding of Access programming. It transitions readers from basic to advanced topics, equipping them with the knowledge and tools to automate Access routine tasks effectively.

Computer Graphics Programming in OpenGL with Java. A Comprehensive Guide to Modern 3D Graphics Programming

Mercury Learning and Information, V. Scott Gordon, John L. Clevenger

This book is designed for computer science undergraduates and professionals interested in mastering 3D graphics using OpenGL in Java with JOGL. It follows a “teach-yourself” format with numerous examples that can be run as presented. Unique in its approach, it covers OpenGL 4.0+ shader programming using Java, providing all the necessary materials to install JOGL and execute every example. The course starts with an introduction to OpenGL and the graphics pipeline, followed by mathematical foundations essential for 3D graphics. It then delves into managing 3D graphics data, texture mapping, and creating 3D models. Lighting, shadows, and enhancing surface detail are covered, along with advanced techniques like parametric surfaces, tessellation, and geometry shaders. The final chapters explore simulating water, ray tracing, and stereoscopy for 3D glasses and VR headsets. This book equips readers with comprehensive skills in OpenGL programming and 3D graphics, making it an invaluable resource for developing sophisticated graphics applications. The practical approach ensures thorough learning, bridging the gap between theory and application.

AI in Digital Marketing. Harnessing AI tools to revolutionize digital marketing strategies

Mercury Learning and Information, Maria Johnsen

Artificial Intelligence is transforming the digital marketing landscape, offering innovative solutions for personalization, automation, and efficiency. This comprehensive guide explores AI's impact on digital marketing, focusing on data-driven insights, predictive analytics, and customer engagement strategies. It empowers marketers to understand and leverage AI's potential in crafting targeted campaigns and optimizing workflows.Readers will explore essential topics like machine learning, natural language processing, and sentiment analysis, all tailored for marketing applications. Practical insights on SEO, content creation, and social media listening are combined with advanced concepts such as programmatic advertising, AI-powered customer support, and marketing automation. The book ensures a balance between foundational knowledge and actionable strategies.This resource equips digital marketers, strategists, and analysts to adopt emerging trends, drive measurable results, and maintain a competitive edge in the AI-driven marketing ecosystem. It is the perfect companion for professionals seeking to enhance their skills and harness the power of AI in their digital marketing efforts.