Computational Physics. A Comprehensive Guide to Numerical Methods in Physics

Mercury Learning and Information, Darren Walker

This updated edition introduces computational physics for performing experiments on the computer. It provides a grounding in scientific programming with examples in the context of physics problems. Using C++ as the primary language, it covers interpolation, integration, and solving differential equations, from simple concepts to advanced topics. The book includes a chapter on high-performance computing and parallel programming.Understanding computational physics is crucial for data manipulation and real-world simulations. The book starts with introductory topics and progresses to advanced material, including a C++ library and sample programs. Readers will learn problem-solving methods and constructing models.This journey equips readers with skills for scientific tasks, demonstrating efficient problem-solving and model construction. The practical approach ensures users can apply these concepts in real-world scenarios, making it an essential resource for those interested in computational physics.

Mathematics for Business. Explore Essential Mathematical Concepts and Techniques for Decision Making

Mercury Learning and Information, Gary Bronson, Richard Bronson, Maureen Kieff

This course provides a comprehensive understanding of quantitative methods essential for economic forecasting, resource allocation, portfolio analysis, inventory management, data-mining, and addressing social and climate challenges. Starting with foundational topics like finite mathematics and the mathematics of finance, it progresses to differential calculus, optimization, and curve fitting. These concepts are vital for solving contemporary business problems.Learners will explore algebra, finite math, finance mathematics, calculus, optimization techniques, and curve fitting, applying these methods to realistic business scenarios. Topics include cash flow, amortization, interest, loans, annuities, revenue/cost models, break-even analysis, inventory control, and econometrics. Each section includes extensive examples and exercises, reinforced by key terms and concepts, making the material accessible and practical.The course begins with basic mathematical concepts and advances through increasingly complex topics. By the end, learners will have the tools to tackle various business problems using quantitative methods, making this course invaluable for anyone in the business field. This structured approach ensures both theoretical knowledge and practical application, preparing learners for real-world challenges.

Finite Element Analysis. An Introductory Guide to FEM Techniques and Applications

Mercury Learning and Information, Sarhan M. Musa

This comprehensive guide explores the versatility and affordability of Finite Element Analysis (FEA) as a powerful tool for solving engineering problems. The book provides a practical introduction to FEA, covering applications in mechanical, civil, electrical engineering, and physics. It presents a balanced blend of theory and applications, catering to both beginners and those seeking to enhance their FEA skills.The journey begins with mathematical preliminaries and an introduction to the Finite Element Method. It progresses through various applications such as axially loaded members, trusses, beams, stress analysis, thermal analysis, fluid flow analysis, dynamic analysis, and engineering electromagnetics analysis. Each chapter includes comparisons of analytical methods, FEA hand calculations, and software-based solutions, helping readers understand the strengths and limitations of each approach.Understanding these concepts is crucial for effective problem-solving in engineering. This book transitions readers from fundamental principles to advanced engineering applications, blending theoretical knowledge with practical skills. Companion files with executable models and animations enhance the learning experience, making this guide an essential resource for mastering FEA techniques.

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.

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.

Classic Game Design. From Pong to Pac-Man with Unity: Crafting Timeless Retro Games with Expert Techniques

Mercury Learning and Information, Franz Lanzinger

This book teaches you to design and develop classic arcade video games. Using modern, free software tools like Unity, you’ll create five retro games inspired by the classics. All source code, art, and sound files are provided in the companion files. You'll enjoy customizing graphics, adjusting scoring, coding AI, and creating sound effects, gaining a deep understanding of the roots of modern video game design from the '70s and '80s.The course begins with an introduction and essential tools, then guides you through creating various retro games. Each chapter builds on the previous one with detailed instructions, exercises, and classic game design rules. The book includes historical anecdotes from a former Atari programmer and insights on applying classic game design concepts to modern games.Understanding these design elements is crucial for developing engaging video games. This book transitions readers from beginners to proficient game developers, blending theoretical knowledge with practical skills. Companion files enhance the learning experience, making this book an invaluable resource for mastering classic game design with modern tools.

Large Language Models An Introduction. Understanding the Fundamentals and Applications of Generative AI

Mercury Learning and Information, Oswald Campesato

This book provides a comprehensive overview of large language models (LLMs) and generative AI, covering foundational principles, advanced concepts, and practical applications. It begins with an introduction to the generative AI landscape, examining key features, popular techniques, and its influence on industries like art, business, and technology. The book also explores prominent models like ChatGPT and GPT-4, detailing their architectures, capabilities, and applications in text generation, code assistance, and conversational AI.Additionally, the book traces the evolution of LLMs, particularly focusing on the BERT family and its wide-ranging applications in natural language processing, translation, and multilingual tasks. Readers will also gain expertise in prompt engineering, learning practical tips and examples to interact more effectively with LLMs.In later chapters, the book tackles advanced topics such as fine-tuning LLMs, working with SVG, and concepts like few-shot learning and reinforcement learning. It concludes with discussions on ethical issues, biases in generative AI, and emerging trends like AI’s integration with IoT, quantum computing, and neuromorphic computing. This guide equips professionals and enthusiasts with a thorough understanding of generative AI's present and future.

Data Structures and Program Design Using Java. A Self-Teaching Introduction to Data Structures and Java

Mercury Learning and Information, D. Malhotra, N. Malhotra

This book introduces the fundamentals of data structures using Java in a self-teaching format. It covers managing large databases, effective SEO, and creating web indexing services. Real-world analogies help explain technical concepts. Each chapter includes programming tasks, theoretical questions, and multiple-choice quizzes.The course begins with an introduction to data structures and Java, moving through arrays, linked lists, queues, searching and sorting, stacks, trees, multi-way search trees, hashing, files, and graphs. Each chapter builds on the previous one, ensuring a thorough understanding of data structures.Understanding these concepts is crucial for managing information and optimizing web services. This book guides readers from basic to advanced techniques, blending theory with practical skills. It is an essential resource for mastering data structures with Java, enhanced by end-of-chapter exercises and real-world examples.

Using AI in Marketing. Harness AI technologies to transform marketing strategies and results

Mercury Learning and Information, Greg Kihlström

Artificial Intelligence is reshaping the marketing landscape. This book begins with a foundational overview of AI and its history, establishing the importance of AI in modern marketing practices. Readers will gain insights into the integration of AI with marketing fundamentals, paving the way for strategic advancements.Delving deeper, the book explores current applications of AI, from data analytics to campaign automation, and personalized customer experiences. With chapters dedicated to generative AI, prompt optimization, and team augmentation, the book provides actionable insights and case studies to guide readers through real-world usage.As the journey concludes, readers are equipped with an understanding of AI's transformative impact, ethical considerations, and strategies for adoption. This book ensures that marketers are ready to embrace AI, optimize their workflows, and make informed investment decisions for future growth.

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.

Data Science for IoT Engineers. Master Data Science Techniques and Machine Learning Applications for Innovative IoT Solutions

Mercury Learning and Information, P. G. Madhavan

This book introduces data science to professionals in engineering, physics, mathematics, and related fields. It serves as a workbook with MATLAB code, linking subject knowledge to data science, machine learning, and analytics, with applications in IoT. Part One integrates machine learning, systems theory, linear algebra, digital signal processing, and probability theory. Part Two develops a nonlinear, time-varying machine learning solution for modeling real-life business problems.Understanding data science is crucial for modern applications, particularly in IoT. This book presents a dynamic machine learning solution to handle these complexities. Topics include machine learning, systems theory, linear algebra, digital signal processing, probability theory, state-space formulation, Bayesian estimation, Kalman filter, causality, and digital twins.The journey begins with data science and machine learning, covering systems theory and linear algebra. Advanced concepts like the Kalman filter and Bayesian estimation lead to developing a dynamic machine learning model. The book ends with practical applications using digital twins.

Python Tools for Data Scientists Pocket Primer. A Quick Guide to Essential Python Libraries for Data Science

Mercury Learning and Information, Oswald Campesato

This book, part of the best-selling Pocket Primer series, offers a comprehensive introduction to essential Python tools for data scientists. It begins with an overview of Python basics, followed by in-depth coverage of NumPy and Pandas, focusing on their features and applications. The text also addresses the critical tasks of writing regular expressions and performing data cleaning.Further sections delve into data visualization techniques and the use of Sklearn and SciPy, providing practical knowledge and skills for handling complex data analysis tasks. This structured approach ensures that readers gain a complete understanding of the tools and techniques necessary for effective data science.Designed to be accessible yet thorough, this book includes numerous code samples to reinforce learning. Companion files with source code are available for download, making it an invaluable resource for anyone looking to master Python for data science and enhance their data analysis capabilities.

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.

Adobe InDesign. Creative Class for Beginners

Mercury Learning and Information, Lauren Saalmuller, Stephanie Torta

This book explores digital design, tailored for beginners eager to master Adobe InDesign, and serves as a valuable resource for experienced users refining their skills. It demystifies Adobe InDesign, defining essential tools through engaging projects and tutorials. Starting with navigating the interface, it lays a solid foundation by teaching how to open and create documents, understand the workspace, and tailor the program to individual needs.The book offers practical experience with projects such as web banners, social media ads, logos, flyers, posters, covers, newsletters, and booklets. Each project builds on the previous one, ensuring a comprehensive understanding of InDesign's capabilities. A complete “Save the Sharks” marketing campaign allows users to apply their skills in a real-world context, with options to customize content for personal campaigns.Understanding Adobe InDesign is crucial for creating professional-quality designs. This book transitions users from novices to confident designers, equipped with practical skills and comprehensive knowledge. It ensures a smooth learning journey, enhancing creative potential and proficiency in digital design. Companion files with video tutorials and project files enrich the learning experience, making it an essential resource for all levels.

Bash Command Line and Shell Scripts Pocket Primer. Mastering Bash Commands and Scripting Techniques

Mercury Learning and Information, Oswald Campesato

As part of the best-selling Pocket Primer series, this book introduces readers to useful command-line utilities for creating powerful shell scripts. It focuses on the “bash” command set, though many concepts apply to other command shells like sh, ksh, zsh, and csh. The book covers piping data between commands and using versatile sed and awk commands. Aimed at beginners, it also serves as a good reference for those with some experience in shell scripting.The journey starts with an introduction to bash, covering files and directories, useful commands, and conditional logic with loops. Readers then learn to filter data with grep, transform data with sed, and work with awk. The book introduces shell scripts, showcasing their use with grep and awk for data manipulation. Various scripts are provided for data scientists and analysts needing shell-based solutions for text file cleaning.Understanding these concepts is crucial for simplifying routine tasks and creating efficient shell scripts. This book transitions readers from novices to proficient scriptwriters, combining theoretical knowledge and practical skills. Companion files with source code examples enhance learning. By the end, readers will be equipped to implement shell scripts in real-world scenarios.

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.