CSS3 and SVG with GPT-4. Explore CSS3 animations and SVG techniques with GPT-4 insights

Mercury Learning and Information, Oswald Campesato

This book is your gateway to exploring the seamless integration of CSS3, SVG, and GPT-4. It begins by introducing the fundamentals of GPT-4 and generative AI, setting a solid foundation for understanding its capabilities. Alongside, you'll learn prompt engineering techniques to effectively interact with AI tools.The journey progresses into CSS3, covering its core principles and advanced features such as 3D animations. You'll discover innovative ways to integrate GPT-4 into web design processes, creating dynamic and visually engaging content. The book also delves into Scalable Vector Graphics (SVG), offering insights into creating scalable and crisp graphics. Combining SVG with GPT-4, you'll uncover new possibilities for unique designs.By the end, you'll have mastered the tools and techniques to harness AI-driven creativity, making your web development projects more efficient and imaginative. This book is perfect for designers, developers, and anyone looking to explore the intersection of AI and design.

Access 365 Project Book. Hands-On Database Creation

Mercury Learning and Information, Julitta Korol

This book is a practical introduction to building and managing Access desktop databases. Instead of merely explaining Microsoft Access, it helps you complete tasks related to creating, using, and managing a database. The hands-on approach focuses on creating a traditional Access desktop database and emphasizes splitting the database for optimized multi-user access. The primary project, the Employee Training Database (ETD), offers practical, real-world experience.The book guides you through database creation and management. It starts with planning and designing a database, followed by creating and setting up Access tables. It then covers primary keys, indexes, and table relationships, and populating tables with data. The middle sections include working with queries and designing and customizing forms.The latter part focuses on designing and using reports and customizing them. It concludes with compacting, splitting, and securing the database for optimized performance and security. These concepts enable efficient database management and enhance multi-user collaboration. This book transitions you from a novice to a proficient user, equipped with practical skills and comprehensive knowledge. Companion files with hands-on examples enrich your learning.

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.

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.

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.

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.