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Podcasts
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.
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.
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.
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.
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.
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.
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.