Full-Stack iOS Development with Swift and Vapor. Mastering Full-Stack iOS Development with Swift and Vapor Framework

Mercury Learning and Information, Hem Dutt

This is a comprehensive guide designed to equip developers with the skills to seamlessly integrate back-end and front-end technologies using Swift and Vapor. The book starts with an overview of full-stack development, including the history and advantages of this approach, before diving into the essential tools and environments needed to get started. Readers will learn how to set up Xcode and the Vapor toolbox, create routes, and implement MVC patterns in Vapor, as well as work with JSON data.The book then covers advanced topics such as asynchronous programming, HTML rendering, PostgreSQL integration, and error handling within Vapor. Simultaneously, it guides readers through building sophisticated iOS user interfaces using Auto Layout, SwiftUI, and Core Data for data persistence. The content culminates in a full-stack implementation that brings together server-side logic and a connected iOS application, followed by discussions on advanced topics like middleware, WebSockets, and security.Finally, the book provides in-depth instructions on deploying iOS and Vapor applications using Heroku, Docker, and the App Store. Throughout, real-world projects and exercises reinforce learning, making this an indispensable resource for mastering full-stack iOS development.

Microsoft Access 2021 Programming Pocket Primer. A Comprehensive Guide to Mastering Access VBA

Mercury Learning and Information, Julitta Korol

This book, part of the successful Pocket Primer series, is designed for those who need to master Access programming fundamentals quickly. You only need this concise guide to get started and feel comfortable with VBA. The concepts learned here also apply to Excel programming. The book is divided into nine chapters, each progressively introducing you to programming in Microsoft Access 2021.Beginning with an introduction to Access VBA, the book covers the Visual Basic Editor, fundamental VBA programming concepts, and how to create both built-in and custom functions. You will learn to add decision-making capabilities and repeating actions to your programs, manage multiple values using arrays and collections, and utilize built-in tools for testing and debugging your code.This structured approach ensures that by the end of the course, you will have a solid foundation in Access programming. The companion files provide all the hands-on resources needed to complete chapter projects, making this an essential resource for mastering Access VBA efficiently and effectively.

Natural Language Processing using R Pocket Primer. Learn Essential NLP Techniques and Tools for Developers

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 a technical audience, 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 for Programmers. A Comprehensive Guide for Intermediate to Advanced Python Programmers and Developers

Mercury Learning and Information, Oswald Campesato

This book is designed for developers with little to no experience in Python or Pandas, providing a fast-paced introduction to Python programming and practical solutions to various tasks. The journey begins with a quick tour of basic Python 3, followed by a deep dive into loops and conditional logic. The text covers data structures extensively, and includes tasks involving strings and arrays.As the reader progresses, object-oriented programming concepts are introduced with illustrative code samples, along with an exploration of recursion and fundamental topics in combinatorics. An appendix provides an introduction to Pandas, equipping readers with essential tools for data manipulation and analysis.This book offers a comprehensive yet concise learning path, reinforced by numerous code samples and companion files available for download. It is an invaluable resource for beginners seeking to master Python and Pandas, providing a solid foundation for further exploration in programming and data science.

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.

Python 3 and Machine Learning Using ChatGPT / GPT-4. Harness the Power of Python, Machine Learning, and Generative AI

Mercury Learning and Information, Oswald Campesato

This book bridges the gap between theoretical knowledge and practical application in Python programming, machine learning, and using ChatGPT-4 in data science. It starts with an introduction to Pandas for data manipulation and analysis. The book then explores various machine learning classifiers, from kNN to SVMs. Later chapters cover GPT-4's capabilities, enhancing linear regression analysis, and using ChatGPT in data visualization, including AI apps, GANs, and DALL-E.The journey begins with mastering Pandas and machine learning fundamentals. It progresses to applying GPT-4 in linear regression and machine learning classifiers. The final chapters focus on using ChatGPT for data visualization, making complex results accessible and understandable.Understanding these concepts is crucial for modern data scientists. This book transitions readers from basic Python programming to advanced applications of ChatGPT-4 in data science. Companion files with source code, datasets, and figures enhance learning, making this an essential resource for mastering Python, machine learning, and AI-driven data visualization.

Mathematics for Computer Graphics and Game Programming. Master the science of computer graphics, from vector representation to advanced OpenGL programming

Mercury Learning and Information, D. P. Kothari, G. Awari, D. Shrimankar, ...

This book explains the mathematical concepts in computer graphics, ideal for courses in graphics, engineering, game development, and industry professionals. It starts with how images are generated on screens and covers algorithms for creating simple geometry. The book progresses through two-dimensional and three-dimensional transformations, parametric representation of planar and space curves like cubic splines and Bezier curves. It also includes programming in C, OpenGL, and methods for generating 3D models.The course begins with an introduction to computer graphics and vector representation of geometric entities. It then covers 2D and 3D transformations, parametric representation of curves and surfaces, windowing and clipping, and generating 3D models. The final chapters focus on projections and programming graphics using C and OpenGL.Understanding these concepts is crucial for mastering computer graphics. This book transitions readers from basic concepts to advanced techniques, blending theoretical knowledge with practical skills. It is an essential resource for mastering the mathematical foundations and programming techniques in computer graphics.

Google Gemini for Python. Coding with Bard: Mastering Python with Google's AI Tools

Mercury Learning and Information, Oswald Campesato

This book bridges Python 3 programming and Generative AI, equipping readers with the skills to navigate both domains confidently. It starts with Python basics, covering data types, number formatting, text manipulation, loops, functions, data structures, NumPy, Pandas, conditional logic, and reserved words. You'll also learn about handling user input, managing exceptions, and working with command-line arguments.The journey continues into Generative AI, distinguishing it from Conversational AI. It introduces popular platforms and models, including Bard (now called Gemini) and its competitors, providing insights into their capabilities, strengths, weaknesses, and applications. The final chapters show how to generate various Python 3 code samples using Gemini.Understanding these concepts is crucial for modern programming and AI applications. This book transitions readers from basic Python programming to advanced AI techniques, blending theoretical knowledge with practical skills. Companion files with source code and figures enhance the learning experience, making this an essential resource for mastering Python 3 and Generative AI.

Tech Trends of the 4th Industrial Revolution. Navigating the Future of Technology in Business

Mercury Learning and Information, D. Pyo, J. Hwang, Y. Yoon

The term 4th Industrial Revolution is often mentioned in the media, but public understanding of its technologies lags behind their rapid development. This book bridges the gap, explaining essential technologies like IoT, blockchain, AI, cloud computing, and big data. It aims to enhance comprehension by minimizing technical content.The book introduces key technologies and their applications, emphasizing their importance in contemporary business models. Readers will find accessible descriptions and practical examples to aid understanding. Covering topics and trends vital for modern business, this book ensures readers grasp the technological landscape shaping the future.Throughout the book, you'll explore how these technologies are revolutionizing industries and their integration into business strategies. This journey provides a comprehensive understanding of the 4th Industrial Revolution, equipping readers with the knowledge needed to navigate and leverage these advancements effectively.

XML Basics. A Comprehensive Guide to Understanding and Implementing XML

Mercury Learning and Information, S. Banzal

This book focuses on essential XML standards relevant to almost all developers. It investigates XML technologies applicable across a wide range of applications, rather than those limited to specific domains. While XML is a markup language, it is widely used by programmers. The book also covers supporting technologies layered on top of XML, such as XLinks, XSLT, Namespaces, Schemas, XHTML, RDDL, XPointers, XPath, SAX, and DOM.The journey begins with understanding XML and its syntax. It then explores Document Type Definitions (DTDs), Namespaces, and XHTML. Following this, the book delves into CSS Style Sheets, XML Schema Basics, XSL and XSLT, SOAP, DOM Programming Interface, SAX, XPath, XLink, XQuery, XPointer, XForms, XSL-FO, and using XML with Databases. The final chapters cover Web Services, providing a comprehensive understanding of how XML integrates into various applications.Mastering these standards and technologies is crucial for developers working with XML. This book transitions readers from basic XML syntax to advanced applications, blending theoretical concepts with practical examples. It is an essential resource for developers looking to leverage XML in their projects.

Computer Concepts and Management Information Systems. A Comprehensive Guide to Modern Computing and Information Management

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.

Artificial Intelligence in the 21st Century. The Future of Technology and Human Innovation

Mercury Learning and Information, Stephen Lucci, Sarhan M. Musa, Danny Kopec

This third edition provides a comprehensive, accessible presentation of AI, including examples, applications, full-color images, and human interest boxes. New chapters on deep learning, AI security, and AI programming keep the content cutting-edge. Topics like neural networks, genetic algorithms, natural language processing, planning, and complex board games are covered.The course starts with an AI overview, moving through uninformed search, intelligent search methods, and game-based strategies. It delves into logic in AI, knowledge representation, production systems, uncertainty in AI, and expert systems. Middle chapters cover machine learning, neural networks, and deep learning. It continues with nature-inspired search methods, natural language processing, and automated planning, ending with robotics and advanced computer games.These AI concepts are crucial for developing sophisticated AI applications. This book transitions you from novice to proficient AI practitioner, equipped with practical skills and comprehensive knowledge. Companion files with resources, simulations, and figures enhance learning. By the end, you'll understand AI principles and applications, ready to tackle real-world challenges.

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.

Python Data Structures Pocket Primer. A concise guide to Python data structures to enhance your skills

Mercury Learning and Information, Oswald Campesato

This Pocket Primer book introduces the fundamentals of data structures using Python. It provides a comprehensive yet fast-paced introduction to core Python concepts and data structures, emphasizing their importance in managing large datasets and implementing search and sort algorithms effectively. The course starts with a basic introduction to Python, setting a solid foundation for more complex topics.The journey continues with an exploration of recursion and combinatorics, followed by detailed discussions on strings, arrays, and various search and sort algorithms. Further, the book delves into linked lists, queues, and stacks, illustrating their practical applications with numerous code samples. This structured approach ensures that learners can progressively build their knowledge and skills in data structures, reinforced by hands-on coding examples.With companion files available for download, the book provides additional resources for practice and deeper understanding. This comprehensive guide is ideal for both beginners and those looking to strengthen their grasp of data structures in Python, equipping them with essential tools for managing and manipulating large datasets.

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.