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Podcasty
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.
Blockchain, Bitcoin, and the Digital Economy. Unlocking the Future of Financial Technology
Mercury Learning and Information, Len Mei
This book provides a comprehensive introduction to blockchain technology, discussing its fundamentals, development issues, potential applications, security, and use in cryptocurrency. It also delves into fintech, its current status, and related concepts in the digital economy. The rapidly changing nature of these topics makes the book a valuable resource for anyone interested in blockchain and cryptocurrency. Numerous references offer up-to-date information on these subjects.The course begins with an overview of blockchain and its basic concepts, followed by an in-depth look at Bitcoin and its associated issues. The journey continues with consensus mechanisms, exploring altcoins, and mutual distributed ledgers. The book then shifts focus to applications of blockchain beyond cryptocurrency, highlighting industrial uses, payment systems, and lending. Governance, regulation, and future trends in blockchain technology are also covered.Understanding these concepts is crucial for navigating the evolving landscape of blockchain and cryptocurrency. This book ensures a smooth transition from novice to knowledgeable enthusiast, equipping readers with practical insights and comprehensive knowledge. By the end, readers will grasp blockchain technology's impact on various industries and its potential for future innovations.
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.
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.
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.
Mercury Learning and Information, C. P. Gupta, K. K. Goyal
This book provides a self-teaching introduction to computer fundamentals and management information systems (MIS). It covers hardware components, software applications, Microsoft Office, information systems, ERP, CRM, security, business ethics, and cybercrime. The goal is to make these complex subjects accessible and easy to understand.The course begins with basic computer concepts, followed by an introduction to software. It then offers detailed information on Microsoft Office, covering Excel, Word, PowerPoint, and Access. The journey continues with a deep dive into MIS, exploring its applications, ERP systems, security measures, business ethics, and the challenges of cybercrime.Understanding these concepts is crucial for navigating the digital world and leveraging technology in business. This book transitions readers from beginners to knowledgeable users, blending theoretical insights with practical skills. Companion files with source code examples and figures enhance the learning experience, making this book an invaluable resource for mastering computers and MIS.
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.
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.
Computer Security and Encryption. Advanced Techniques for Securing Digital Information
Mercury Learning and Information, S. R. Chauhan, S. Jangra
This book addresses the rapid growth of cybercrime by focusing on cryptography and system security. It emphasizes rigorous security models and practices in network and system design. The first part introduces system security concepts, object models, and inter-object communications, providing a foundation in cryptography for beginners and advanced readers alike.The course starts with basic security concepts, moving to public key cryptography, SSL, and transaction security on the web. It covers IP security, firewalls, public key certificates, and security at the IP layer. Readers will also learn about remote access with Internet Protocol security and virtual private networks. The final chapters address the security of emerging technologies like Big Data Analytics, cloud computing, IoT, Smart Grid, SCADA, control systems, and Wireless Sensor Networks.Understanding these concepts is crucial for protecting against cyber threats. This book transitions readers from basic knowledge to advanced security practices, blending theoretical insights with practical applications. It is an invaluable resource for mastering cryptography and system security in today's digital age.
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, Oswald Campesato
This book is an essential guide for mastering advanced CSS3 and SVG techniques, ideal for web developers aiming to create visually striking and interactive web content. It starts with an in-depth look at CSS3, covering shadow effects, gradients, 2D and 3D transforms, and sophisticated animations. You'll learn to implement complex styling, use media queries for responsive design, and create dynamic keyframe animations. Security practices and effective use of CSS3 are also addressed.Moving to SVG, the book explores creating scalable vector graphics for advanced data visualizations and animations. You'll learn to use SVG elements like shapes, gradients, and Bezier curves, and how to seamlessly integrate them with CSS3 for dynamic, interactive graphics. Detailed tutorials on SVG filters, transforms, and animations enable you to build intricate visual effects and engaging content. Practical examples show how to combine CSS3 and SVG for responsive, high-performance web projects.By the end, you’ll have the skills to craft compelling web applications using CSS3 and SVG, whether you're a beginner or an experienced developer looking to elevate your web design expertise.
CSS3 and SVG with Gemini. Explore advanced CSS3 and SVG techniques with Gemini technology
Mercury Learning and Information, Oswald Campesato
This book serves as a comprehensive guide to mastering CSS3 and SVG technologies, with a focus on their integration with Gemini. It begins with an introduction to Generative AI and prompt engineering, laying the foundation for using Gemini effectively. Detailed chapters explore CSS3 fundamentals and advanced 3D animation techniques, offering practical examples to enhance understanding.The book dives into scalable vector graphics (SVG) basics, advancing into complex designs, and demonstrates how to integrate SVG with Gemini for creating dynamic visuals. Structured to cater to both beginners and advanced learners, each chapter provides in-depth coverage of concepts and hands-on exercises to apply knowledge practically.Readers will gain skills to create professional-grade graphics and animations, leveraging the power of Gemini and combining it with CSS3 and SVG. This resourceful book is ideal for web developers, designers, and anyone aiming to expand their expertise in modern web technologies.
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.
CSS3 and SVG with Meta AI. AI-Driven CSS3 and SVG Design Techniques for Modern Web Solutions
Mercury Learning and Information, Oswald Campesato
This book introduces the innovative integration of CSS3 and SVG with generative AI tools, providing a foundation for modern web design. Readers begin by exploring the basics of generative AI and prompt engineering, gaining insights into how these technologies influence visual storytelling and creativity in web design.Progressing through the chapters, the book covers essential CSS3 concepts, including 3D animations and dynamic styling, before delving into advanced SVG techniques for creating scalable and responsive vector graphics. With practical examples, readers learn to merge CSS3 and SVG, enabling the development of seamless AI-enhanced animations and graphics tailored to modern design needs. The integration of Meta AI is highlighted, showcasing its role in enhancing workflows and achieving innovative solutions.By the end, readers will have gained the skills to create cutting-edge, scalable, and visually engaging web designs. The book equips developers with the knowledge and tools to incorporate AI-driven enhancements into their projects, ensuring designs remain both innovative and practical for real-world applications.
Cybersecurity. A Self-Teaching Introduction
Mercury Learning and Information, C. P. Gupta, K. K. Goyal
This book provides fundamental concepts of cybersecurity and cybercrime in an easy-to-understand, self-teaching format. It covers data security, threats, viruses, malicious software, firewalls, VPNs, security architecture, design, policies, cyberlaw, and cloud security.The course starts with an introduction to information systems and cybersecurity application security. It progresses to developing secure information systems and understanding information security policies, standards, and cyberlaw. The final chapters address the security of emerging technologies, including cloud security, IoT, and AES.Understanding these concepts is crucial for protecting data and systems against cyber threats. This book transitions readers from basic knowledge to advanced cybersecurity practices, combining theoretical insights with practical applications. It is an invaluable resource for mastering cybersecurity in today's digital age.
Data Analysis for Business Decisions. A Laboratory Manual
Mercury Learning and Information, Andres Fortino
This manual is for business analysts to enhance their statistical analysis skills, with case studies focusing mainly on Excel. It covers basic descriptive techniques, linear regression, forecasting, t-Test, chi-square, A/B testing, text data analysis, and Big Data management. Companion files include solution spreadsheets, sample files, and data sets.The course starts with data shaping and cleaning, installing the Analysis ToolPak, and descriptive statistics. It progresses through histograms, scatter plots, Pareto analysis, correlation, linear and multivariate regression, and forecasting. Advanced topics include inferential statistics, contingency analysis, and A/B testing. The final chapters cover text analytics, big data sets, and data visualization.These techniques are crucial for informed business decisions. This book guides users from basic to advanced analysis, blending theory with practical skills. Companion files enhance learning, making this manual essential for mastering statistical analysis in business.
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.
Database Security. Master the Art of Protecting Your Data with Cutting-Edge Techniques
Mercury Learning and Information, Christopher Diaz
This book provides a comprehensive guide to resolving database security issues during design, implementation, and production phases. It emphasizes specific measures and controls unique to database security, beyond general information security. Topics include account credential management, data access management, and techniques like database normalization, referential integrity, transactions, locks, and check constraints.The importance of database security lies in protecting sensitive data from unauthorized access and ensuring data integrity. This book is designed for professionals, workshops, and self-learners, offering hands-on demonstrations with major Database Management Systems (MySQL, Oracle, and Microsoft SQL Server) across various computing platforms (Linux/UNIX, MacOS, Windows).Starting with an introduction to information, data, and database security, the book covers database design, management, administration, user accounts, privileges, roles, and security controls for confidentiality. It also delves into transactions and data integrity with concurrent access. Each chapter includes questions and projects to reinforce learning and comprehension.
Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python
Mercury Learning and Information, Oswald Campesato
This book ushers readers into the world of data, emphasizing its importance in modern industries and how its management leads to insightful decision-making. Using Python 3, the book introduces foundational data tasks and progresses to advanced model training concepts. Detailed, step-by-step Python examples help readers master training models, starting with the kNN algorithm and moving to other classifiers with minimal code adjustments. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced for hands-on chart and graph rendering.The course begins with working with data, detecting outliers and anomalies, and cleaning datasets. It then introduces statistics and progresses to using Matplotlib and Seaborn for data visualization. Each chapter builds on the previous one, ensuring a comprehensive understanding of data management and analysis.These concepts are crucial for making data-driven decisions. This book transitions readers from basic data handling to advanced model training, blending theoretical knowledge with practical skills. Companion files with source code and data sets enhance the learning experience, making this book an invaluable resource for mastering data science with Python.
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.
Data Science Fundamentals Pocket Primer. An Essential Guide to Data Science Concepts and Techniques
Mercury Learning and Information, Oswald Campesato
This book, part of the Pocket Primer series, introduces the basic concepts of data science using Python 3 and other applications. It offers a fast-paced introduction to data analytics, statistics, data visualization, linear algebra, and regular expressions. The book features numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available.Understanding data science is crucial in today's data-driven world. This book provides a comprehensive introduction, covering key areas such as Python 3, data visualization, and statistical concepts. The practical code samples and hands-on approach make it ideal for beginners and those looking to enhance their skills.The journey begins with working with data, followed by an introduction to probability, statistics, and linear algebra. It then delves into Python, NumPy, Pandas, R, regular expressions, and SQL/NoSQL, concluding with data visualization techniques. This structured approach ensures a solid foundation in data science.
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.
Mercury Learning and Information, D. Malhotra, N. Malhotra
This book introduces the fundamentals of data structures using C++ in a self-teaching format. It covers managing large amounts of information, SEO, and creating Internet/Web indexing services. Practical analogies with real-world applications help explain technical concepts. The book includes end-of-chapter exercises such as programming tasks, theoretical questions, and multiple-choice quizzes.The course starts with an introduction to data structures and the C++ language, progressing 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 comprehensive understanding of data structures.Understanding these concepts is crucial for managing large databases and optimizing web services. This book guides readers from basic to advanced data structure techniques, blending theoretical knowledge with practical skills. Companion files with source code and data sets enhance the learning experience, making this book an essential resource for mastering data structures with C++.
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.