Chart
CHART is a guide to unleashing creativity in data visualization. It takes you on a journey along the spectrum from an ordinary chart to data art, packed with ways to bring more creativity into any visualization. It will help to make your visuals more compelling and memorable, long after the numbers have been crunched.Drawing from over a decade of experience, the author shares thirteen hands-on, tool-agnostic lessons, each filled with actionable insights and unique perspectives. Between these core lessons, you'll find tips, mini-chapters, and dozens of real-world examples from both client and personal projects. The book also includes exclusive glimpses into early sketches, works-in-progress, and in-depth design stories that reveal how creativity in data is often a messy, non-linear, but ultimately rewarding process. CHART: Designing Creative Data Visualization from Charts to Art is designed for journalists, data analysts, business professionals, and newcomers alike, these lessons empower readers to push beyond the default. By the end of the book, you'll have the tools and inspiration to transform typical charts and graphs into visuals that not only inform but also captivate and connect with your audience. This book invites you to break the mold and think outside the chart.
Applied Graph Data Science
Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practical research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques.
Optimizing Real-Time Analytics
Optimizing Real-Time Analytics is a comprehensive and insightful guide that explores the transformative power of real-time data analysis in today's fast-evolving digital landscape. Written by Ibrahim Olushola, the book bridges the gap between theoretical concepts and practical applications, offering readers a deep understanding of how real-time analytics can drive innovation, efficiency, and competitive advantage across industries.The book begins by establishing the foundational principles of real-time analytics, emphasizing its critical role in modern decision-making. It highlights how organizations can move beyond traditional, retrospective data analysis to harness live insights that enable immediate action. Through clear explanations and real-world examples, the author illustrates how industries such as finance, healthcare, retail, and transportation are leveraging real-time analytics to solve complex challenges, enhance customer experiences, and optimize operations.Beyond technical implementation, Optimizing Real-Time Analytics delves into strategic considerations, ethical implications, and scalability challenges. It examines the integration of emerging technologies like artificial intelligence, machine learning, and edge computing, providing a forward-looking perspective on the future of data-driven intelligence. The book also addresses common pitfalls and missed opportunities, offering actionable strategies to overcome barriers and maximize the potential of real-time insights.Designed for a diverse audience-from data scientists and business leaders to technology enthusiasts-the book balances depth with accessibility. It serves as both a roadmap for professionals seeking to implement real-time analytics and a source of inspiration for those looking to understand its broader impact. With a focus on practical applications, ethical responsibility, and innovative thinking, Optimizing Real-Time Analytics empowers readers to transform data into a dynamic tool for growth, adaptability, and meaningful change in an increasingly interconnected world.
101 Ready-to-Use Step-by-Step Commands for Dragon Professional
"101 Ready-to-Use Step-by-Step Commands for Dragon Professional"Automate Your PC and Boost Productivity with Dragon Voice CommandsUnlock the power of Dragon Professional Individual and Dragon NaturallySpeaking with this practical guide to Step-by-Step commands-a powerful feature for automating multi-step tasks and boosting productivity.Tired of repetitive tasks? Dragon's Step-by-Step commands let you automate complex workflows with a single voice command-saving you hours of manual work. Whether you use Word, Excel, PowerPoint, MindManager, or other applications, this book delivers 101 pre-built, customizable commands to help you save time, reduce repetitive keyboard and mouse actions, and supercharge your productivity.What Are Dragon Step-by-Step Commands?Step-by-Step commands allow you to run a series of actions with a single voice command, making them ideal for repetitive or multi-step tasks. This book not only gives you pre-built commands for real-world scenarios, but also teaches you how to create your own so you can tailor Dragon to your specific needs.What's Inside?101 pre-built Step-by-Step commands for common tasks in Word, Excel, PowerPoint, MindManager, and more.Clear explanations for each command - NO CODING EXPERIENCE NEEDED!Beginner-friendly instructions for importing, modifying, and using commands right away.In-depth tutorials on building your own Step-by-Step commands to automate personalised workflows.Practical examples that address real-world challenges, helping you work smarter and faster.Who Is This Book For?Professionals (Doctors, Lawyers, Writers, Programmers)Dragon Newbies & Power UsersAnyone who wants to work faster with voice controlWhether you're new to Dragon or a seasoned user, this book serves as both a practical guide and a quick-reference resource you'll return to again and again. Use it as a step-by-step tutorial or a handy reference to find solutions tailored to your workflow. With 101 Ready-to-Use Step-by-Step Commands for Dragon Professional, you'll discover how to maximise Dragon's automation features to reduce manual work, boost efficiency, and accomplish more-faster.* Includes access to downloadable versions of all the commands featured in the book at the companion site: www.dragonspeechtips.com *Compatible with: Dragon Professional Individual 16 and earlierDragon Professional GroupDragon LegalDragon MedicalDragon Medical OneDragon NaturallySpeaking Professional (v11 and above).Take control of your workflow-start automating with Dragon today.
First Code
Have you ever wondered how apps, websites, and data-driven tools are created?Do you feel like coding is only for tech geniuses - but secretly wish you could do it too?First Code: Creating Your Path with Python and SQL is the perfect beginner's launchpad into the world of programming. Written with clarity and encouragement, this guide will walk you step-by-step through the foundations of Python and SQL - two of the most powerful and beginner-friendly languages that power today's digital landscape.With real-world examples and a focus on simplicity, this book helps you build a solid base in both coding logic and data management. By the end, you'll not only understand how code works - you'll be writing it yourself.Here's what makes this book a must-have: Programming demystified - Learn what code is, how it works, and why it's shaping the future.Python fundamentals made easy - Master syntax, variables, functions, loops, and file handling.Build real coding habits - Practice writing clean, working code with confidence and clarity.SQL skills for real data - Understand databases and how to extract powerful insights using SELECT queries.Fully guided setup - No confusion: set up your development environment in minutes with step-by-step instructions.���� Early edition available at a special launch price - only for a limited time. Don't miss the chance to kickstart your coding journey with a guide that speaks your language and makes learning exciting.���� Start your journey today with First Code: Creating Your Path with Python and SQL Your future as a coder starts with one decision - turn the page and begin.
From Zero to Programmer
Are you tired of feeling left behind in the tech revolution?Have you always wanted to learn how to program but didn't know where to start?From Zero to Programmer is your ultimate beginner's roadmap to the two most essential skills in today's digital world: Python and SQL. Whether your goal is to break into data science, build web apps, or simply understand the logic behind the tech around you, this book offers a hands-on, practical foundation with zero fluff.Written for absolute beginners, this guide walks you step by step through the world of programming - from basic concepts to building simple scripts and querying real databases. You don't need any prior knowledge - just the curiosity to learn and the drive to level up.Inside the book, you'll discover: A clear introduction to Python: Learn how to write and structure clean, functional code.Master the fundamentals of SQL: Create, query, and manage databases like a pro.Real-world examples: Code snippets and exercises designed to reinforce what you learn.Step-by-step setup guides: Get your development environment running in minutes.Essential tools and workflows: Boost your productivity and confidence in programming.���� Only a limited number of first-edition copies are being offered at launch price. This is your chance to get ahead in one of the fastest-growing fields - don't let it slip away.���� Grab your copy of "From Zero to Programmer" today and take the first step into the world of modern programming. Python and SQL are not just skills - they're keys to a whole new career path.
Python and SQL
Curious how today's tech giants make data-driven decisions in real time?Want to build powerful, real-world skills without drowning in jargon or complexity?Python and SQL: The Ultimate Duo for Beginners is your go-to guide for mastering the two most in-demand languages in tech - from zero experience to practical proficiency. Whether your goal is to launch a new career, power up your resume, or finally understand how coding and data actually work, this book lays the perfect foundation.Step-by-step, you'll learn to write clean Python code and use SQL to organize and analyze data like a pro. More than just theory, this book gets you hands-on fast - with tools, real use cases, and best practices that bridge the gap between knowledge and action.What makes this book different: Straightforward explanations - Learn what Python and SQL are, how they're used, and why they matter in today's world.Complete setup support - Set up your development environment easily, even if you've never coded before.Core programming skills - Understand syntax, loops, functions, and file handling in Python with clarity.Database mastery - Learn to create, manipulate, and query relational databases using SQL.Practical data analysis - Discover how to work with real data using Python libraries like Pandas and unlock insights fast.���� First-time launch edition at a special price - only while supplies last!This is more than just a book - it's your entry ticket to a booming career path in tech, data, and beyond. Don't wait for the next opportunity - create it.���� Grab your copy of Python and SQL: The Ultimate Duo for Beginners today and start building the future you deserve - one line of code at a time.
Unlocking the Power of Data with Python and SQL
Are you ready to speak the language of the future?Do you want to break into tech, but feel overwhelmed by where to start?Unlocking the Power of Data with Python and SQL is your clear, beginner-friendly blueprint to mastering two of the most in-demand skills today: coding with Python and managing data with SQL. Designed for absolute newcomers, this book simplifies complex concepts and empowers you to take control of your learning journey - no prior experience required.Whether you're aiming for a career in data science, web development, or just want to future-proof your skill set, this guide delivers practical, hands-on instruction paired with real-world use cases that make learning engaging and relevant.What you'll gain from this book: Foundations that matter - Understand what data is, why it matters, and how it powers the modern world.Python made simple - Learn how to code using clear explanations of data types, variables, functions, and file handling.SQL essentials unlocked - Master relational databases, write efficient queries, and manipulate data confidently.Step-by-step setup - Get your coding environment ready fast with guided instructions that eliminate the guesswork.Real-world practice - Apply what you learn with examples drawn from business, tech, and everyday life.���� First print run available at launch price - limited copies only! If you're serious about gaining a competitive edge in today's data-driven world, there's no better time than now to start.���� Grab your copy of Unlocking the Power of Data with Python and SQL today and begin your transformation from complete beginner to confident data explorer!
Microservices with Go - Second Edition
This second edition walks you through the full lifecycle of Go microservice development, from scaffolding and system design to cloud-native rollout. Learn to secure, observe, and fine-tune services that stay responsive under load.Key Features: - Design and deploy scalable microservices using gRPC, Protocol Buffers and Kubernetes- Discover industry best practices and gain insights into Go microservice development tools, patterns, and solutions- Work with hands-on Golang microservice examples in each chapter- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Microservices with Go, Second Edition explains the key benefits and common issues faced by developers when working with microservices, helping you understand the problems microservice architecture solves, the issues it introduces, and how to tackle them.The author distils his 18+ years of experience in building scalable and reliable infrastructure to help you grasp the importance of using the right principles and standards to achieve all that microservice architecture has to offer. You'll see why Go is a popular choice for microservice development, as well as navigate its foundational aspects, including service scaffolding, discovery, data serialization, communication, deployment, and testing. After covering development, you'll move to maintenance and reliability. This second edition is fully updated with newly added topics, including security and compliance, distributed system challenges, and performance monitoring. The final section focuses on advanced concepts, such as system reliability, observability, maintainability, and scalability. Through best practices and practical examples, you'll learn how to apply key ideas to existing applications using previously scaffolded services.By the end of this book, you'll have gained hands-on experience in developing scalable, reliable, and high-performance microservices with Go.What You Will Learn: - Leverage event-driven architecture and messaging patterns for efficient microservice communication- Automate testing, CI/CD pipelines, and deployment strategies for Go microservices- Establish secure communication between microservices- Optimize microservice performance by monitoring, profiling, and debugging techniques- Get hands-on experience in cloud-native observability and deployment tools- Explore solutions to advanced distributed system scenarios, such as leader electionWho this book is for: This book is for all types of developers, from individuals interested in learning how to write microservices in Go to seasoned professionals who want to master the art of writing scalable and reliable microservice-based systems. A basic understanding of Go will come in handy.Table of Contents- Introduction to Microservices- Scaffolding Go Microservices- Service Discovery- Serialization- Synchronous Communication- Asynchronous communication- Persistence and Databases- Setting Up Service Deployments- Unit and Integration Testing- Security and Compliance- Reliability Overview- Setting up Service Alerting- Collecting Service Telemetry Data- Solving Distributed System Challenges- Performance Monitoring- Other Topics
Apache Kafka in Action
Apache Kafka, start to finish. Apache Kafka in Action: From basics to production guides you through the concepts and skills you'll need to deploy and administer Kafka for data pipelines, event-driven applications, and other systems that process data streams from multiple sources. Authors Anatoly Zelenin and Alexander Kropp have spent years using Kafka in real-world production environments. In this guide, they reveal their hard-won expert insights to help you troubleshoot common Kafka challenges. Inside Apache Kafka in Action you'll discover: - Apache Kafka from the ground up - Achieving reliability and performance - Troubleshooting Kafka systems - Operations, governance, and monitoring - Kafka use cases, patterns, and anti-patterns Thousands of companies--including 80% of the Fortune 100--have made Apache Kafka the lynchpin of their data streaming and processing systems. Clear, concise, and practical, Apache Kafka in Action is written for IT operators, software engineers, and IT architects who will deploy and administer Kafka in their daily work. Chapter by chapter, it guides you through the skills you need to deliver and maintain reliable and fault-tolerant data-driven applications. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book Apache Kafka in Action takes you on a comprehensive journey through understanding and implementing Kafka in systems such as application activity tracking, observability, logging, and analytics. You'll progress seamlessly from fundamental concepts to the building blocks of Kafka-based systems and the tools for managing Kafka operations. Finally, you'll dive into operating and scaling Kafka in enterprise applications. Engaging graphics and friendly examples help vividly illustrate key Kafka concepts and processes. About the reader For IT operators, software architects and developers. No experience with Kafka required. About the author Alexander Kropp has dedicated his focus to Apache Kafka and Kubernetes, actively shaping cloud platform designs and ensuring efficient monitoring systems. Anatoly Zelenin is a renowned expert and trainer in Apache Kafka. He is known for his interactive and engaging workshops, which attract customers from various industries across Europe, particularly banking and manufacturing.
Build Financial Software with Generative AI (from Scratch)
Build working and regulation-compliant financial software--from scratch! The software used by banks, trading firms, and other financial services has special requirements at every level, from securing the UI to making sure backend services comply with a host of regulations. Build Financial Software with Generative AI (From Scratch) shows you how to deliver full stack financial services software--and how generative AI can make you even more productive. In Build Financial Software with Generative AI (From Scratch) you will: - Explore the core concepts of FinTech - Speed development with generative AI tools - Develop and deploy containerized services - Create and document APIs - Effectively visualize your data In Build Financial Software with Generative AI (From Scratch) you'll build working software for processing Automated Clearing House (ACH) files, a cornerstone technology of banking that moves trillions of dollars every year. You'll work with generative AI technology throughout the full stack application, including researching the tech for your application, spinning up a bare bone starting project, answering domain questions, clarifying functionality, and troubleshooting. Along the way, you'll learn what sets FinTech projects apart from normal web apps. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology The financial industry is awash with regulatory and compliance challenges, complex technical requirements, and stringent security demands. There's a huge demand for developers who can create financial services software and this book will get you started. You'll build your own FinTech app from the ground up--with a big productivity boost from Generative AI! About the book Build Financial Software with Generative AI (From Scratch) guides you through modernizing a full-stack Automated Clearing House (ACH) application, layer-by-layer. You'll start with a quick review of FinTech basics and an introduction to GenAI tools. Then, you'll develop a data visualization dashboard with React, containerize components with Docker, create and refine APIs, implement backend processing, and even design a custom database. Throughout, you'll see how AI tools aid with coding, testing, research, security, documentation, and even Agile practices. What's inside - Learn the core concepts of FinTech development - Create and document APIs using Generative AI - Build an awesome data visualization dashboard About the reader Examples are in Python. No experience with generative AI or financial services required. About the author Christopher Kardell and Mark Brouwer have both spent more than 20 years working in the Fintech industry. Table of Contents Part 1 1 Exploring FinTech and generative AI 2 Parsing payments Part 2 3 Getting started with Docker 4 APIs: The piping between our components 5 Storing our ACH files 6 Taking the next step with Next.js 7 Our minimum viable product Part 3 8 Exceptions 9 Searching and auditing 10 Company information 11 International ACH transactions and OFAC scanning 12 Where to go from here
Applied Computational Intelligence, Informatics and Big Data
This book LNICST 616 constitutes the proceedings of the First International Conference on Applied Computational Intelligence, Informatics and Big Data, ACIIBD 2024, held in Guangzhou, China, during July 26-28, 2024. The 3 full papers and 15 shot papers were carefully reviewed and selected from 56 submissions. This Proceedings cover topics on Internet of Things, Information Communication Technology, Edge Computing, Mobile Computing, Neural Network, Intelligent Control System, Real-Time Information System, Intelligent Perception and many other cutting-edge fields and disciplines.
Intelligent Multilingual Information Processing
This CCIS post conference volume constitutes the proceedings of the First International Conference on Intelligent Multilingual Information Processing, IMLIP 2024, in Beijing, China, during November 2024. The 30 full papers presented at IMLIP 2024 were carefully reviewed and selected from 144 submissions. The papers contained in these proceedings address challenging issues in Cross-lingual processing, Large language models, Computational linguistics theory, Resource and corpus construction, Evaluation, Multilingual language understanding, Machine translation, as well as the fundamentals and applications of Multimodal intelligent information processing.
Advanced C#
Are you still writing C# code-or are you architecting scalable solutions?What if mastering C# meant more than just syntax-what if it became your gateway to engineering excellence?Advanced C#: Architecting Scalable Solutions is the essential guide for developers who are ready to evolve into architects. Whether you're building enterprise-level applications, designing modular systems, or optimizing backend services, this deep dive into C# gives you the tools, structure, and mindset to scale your skills-and your software.Written by Archy Scaler, a seasoned expert in enterprise software design, this book transforms how you approach development. You'll go beyond the language to understand how and why scalable architecture works, with practical, real-world examples grounded in modern development practices.Here's what you'll gain inside: Strong Language Foundations Refine your knowledge of value vs. reference types, collections, generics, and advanced features that support clean, efficient code.Mastery of Exception & Async Handling Gain confidence in designing resilient apps using modern error management and task-based asynchronous programming.Robust Object-Oriented Design Apply solid principles with inheritance, polymorphism, encapsulation, and interface-driven design for reusable and maintainable code.Built-in Pattern Mastery Learn when and how to apply design and architectural patterns-like Layered, Client-Server, and N-Tier-to real-world software.Productivity Boost through LINQ & Extension Methods Write expressive, performant, and readable code with techniques that accelerate development.���� This edition is in high demand among senior developers and team leads.Due to the advanced nature of the content and the practical frameworks it provides, only a limited number of copies are released each quarter. Don't miss your chance to rise above the competition.���� Take your place at the top of the development world. Grab Advanced C#: Architecting Scalable Solutions now and transform your expertise into real-world impact.
Mastering C#
Still writing C# like it's version 1.0? What if you could master the language's most powerful features and patterns-and finally code like a pro?Mastering C#: From Intermediate to Pro by Dot Networth is your all-in-one blueprint for taking your C# skills to the highest level. This book is more than just a reference-it's a transformational guide that helps you evolve from capable coder to confident software architect. If you've ever felt stuck between tutorials and real-world mastery, this is the bridge you've been waiting for.Structured around advanced language features, powerful LINQ techniques, and modern async programming, this guide gives you both clarity and command over C#'s most essential capabilities. Whether you're building applications, APIs, or enterprise systems, this book gives you the deep understanding needed to craft clean, maintainable, and scalable solutions.What's inside and why it matters: Advanced Type System Understand covariance, contravariance, and complex type relationships-write flexible, reusable code with confidence.Generic Types and Constraints Build type-safe libraries and APIs that adapt intelligently to different use cases.Delegates and Lambda Expressions Master functional-style programming in C# to write cleaner, more expressive code.LINQ Mastery (Objects, XML, Databases) Gain fluency in data querying with real-world scenarios and custom query providers.Asynchronous Programming & TPL Build modern, responsive apps with a deep dive into async/await and the Task Parallel Library.⚠️ This book isn't for everyone. It's crafted for developers ready to rise above the average. If you're serious about becoming a true C# expert, don't wait-this edition is in limited release and already in demand by teams and mentors worldwide.���� Upgrade your skills. Advance your career. Get your copy of Mastering C#: From Intermediate to Pro today-and take control of your coding future.
C++ Performance Optimization
What if your C++ code could run twice as fast-without changing what it does? Are you leaving performance on the table because you're not using the techniques the pros rely on?C++ Performance Optimization: Secrets of the Pros by Cyrus Optimix is your ultimate guide to writing blazing-fast, memory-efficient, and processor-friendly C++ code. This book is not about vague theory-it's a deep, hands-on manual packed with real-world strategies used in high-performance applications across industries.From identifying bottlenecks to mastering low-level compiler tricks, this guide gives you the mindset and methods of elite C++ developers. Whether you're working on gaming engines, trading systems, or embedded solutions, this book will give you a competitive edge in speed and efficiency.Inside you'll uncover: Why Optimize and How to Measure It Learn why performance matters and how to properly profile your code using professional-grade tools.Master Memory Management Understand layout, alignment, and advanced dynamic memory strategies to gain full control over how your application handles resources.Unlock Compiler-Level Speedups Dive into compiler optimization levels, intrinsics, and low-level programming for the kind of performance that can't be achieved by code alone.Bottleneck Elimination Techniques Use proven methods to identify and fix the real culprits behind laggy, bloated, or CPU-hungry software.Cache-Optimized Data Structures Design systems that align with how modern CPUs actually work, boosting both throughput and responsiveness.⚠️ This is not a beginner's book-it's a toolkit for serious developers who want to master efficiency at the deepest level. Due to the specialized nature of the content, copies are limited and often sell out quickly during developer conference seasons and training periods.���� Ready to write code that performs like a Formula 1 engine? Get your copy of C++ Performance Optimization: Secrets of the Pros now and take your programming skills to the elite level.
Expert’s Guide to C#
Are you ready to unlock the true potential of C#?Do you feel like your current skills are holding you back from building high-performance, scalable applications?"Expert's Guide to C#: Elevating Your Skills" is not just another programming book-it's your launchpad into the advanced realms of professional C# development. Designed for experienced developers who want to go beyond the basics, this guide dives deep into asynchronous programming, concurrency, functional paradigms, and best practices that separate the good from the truly exceptional.Written by Rhys Codesmith, a seasoned software architect, this book arms you with the modern tools, mental models, and expert patterns needed to solve sophisticated challenges in real-world applications. Whether you're building enterprise systems, scalable web services, or cutting-edge apps, this guide will elevate your approach and your code.What you'll gain from this book: Master Asynchronous Programming Learn how to leverage async/await, the Task Parallel Library, and Reactive Extensions to build responsive, non-blocking applications.Understand Concurrency & Synchronization Gain command over primitives and patterns that ensure thread safety and performance under pressure.Adopt Functional Programming in C# Discover how lambda expressions, higher-order functions, and immutable structures can make your code cleaner, safer, and more maintainable.Deep Dive into LINQ Go beyond the basics of Language Integrated Query and use it to write elegant, expressive data queries in a functional style.Real-World Best Practices Apply architectural wisdom and design patterns proven to improve scalability, readability, and testability in your projects.This is not a book you'll want to "maybe get later."Advanced developers are grabbing their copy now to gain a competitive edge-don't be left behind. Stock is limited for this exclusive edition, and prices may increase with the next release cycle.���� Take control of your C# mastery today. Scroll up and grab your copy now-your future self will thank you.
C# & C++
What separates a good developer from a true software architect?Have you ever wished for a guide that bridges the gap between writing code and mastering real-world systems in C# and C++?C# & C++: The Expert Coders' Pathway is your definitive roadmap to advanced mastery. Tailored for serious programmers, this book dives deep into high-level concepts, design patterns, and optimization techniques across two of the most powerful languages in modern development. Whether you're building robust enterprise applications, optimizing memory-critical software, or architecting distributed systems, this guide gives you the precision, clarity, and confidence to lead.Compiler Guru brings decades of experience to a refined blueprint for developers who are ready to elevate their craft beyond syntax and libraries. You'll not only refine your code-you'll transform how you think about software architecture, performance, and scale.Inside, you'll discover: Advanced Language Features Learn lambdas, generics, metaprogramming, and exception management to write expressive and resilient code.Master Concurrency & Memory Management Explore real-world strategies for parallelism, thread safety, and memory control to deliver responsive, high-performance software.Design Patterns & Architecture Mastery Apply SOLID principles, MVC/MVVM patterns, and microservices architecture for scalable, maintainable solutions.Performance Optimization & Profiling Use professional-grade tools and algorithms to push your applications to peak efficiency.Unified Knowledge of C# and C++ Understand how both languages handle system-level challenges and when to leverage each for maximum impact.���� This is not a book for everyone. It's for those who are ready to break through the ceiling of intermediate development. Due to its advanced nature and focused content, this guide is released in limited quantities and is already in high demand among senior developers and tech leads.���� Ready to rise to the top of your field? Grab your copy of C# & C++: The Expert Coders' Pathway now and start coding like the architect you're meant to become.
Python for the Curious
Ever dreamed of becoming a programmer but didn't know where to start?Curious how Python and SQL work together to unlock powerful data insights and automation?Python for the Curious: Adding SQL to Your Toolkit by Alex Codesmith is the perfect starting point for beginners who want to enter the world of programming and data. This comprehensive guide walks you through the essentials of Python while gradually introducing the practical use of SQL, making it easier than ever to build real-world skills that matter.Whether you're aiming for a career in tech, want to enhance your current role with automation, or simply want to satisfy your curiosity, this book offers a step-by-step, friendly approach. You'll learn by doing - from writing your very first Python script to extracting, analyzing, and visualizing data from SQL databases. It's not just about code. It's about understanding the logic, solving problems, and thinking like a developer.What you'll learn inside this book: ���� Python from Scratch - Start with the very basics: learn what programming is, why Python is so powerful, and how to set up your coding environment with ease.���� Core Programming Concepts Made Simple - Master essential building blocks like data types, variables, loops, conditionals, and functions - all explained clearly.����️ Hands-On Data Structures - Work with lists, tuples, and dictionaries to store and manipulate your data efficiently.���� Real-World File Handling and Web Scraping - Learn how to read, write, and extract data from web pages and files to fuel your projects.���� Data Visualization Techniques - Discover how to turn raw data into visual insights using Python libraries.���� Seamless SQL Integration - Get introduced to SQL and learn how to combine it with Python to create dynamic data workflows and databases.The demand for Python and SQL skills has never been higher.Early adopters of this book are already building their portfolios, launching careers, and gaining confidence with each chapter. Only a limited number of launch copies are available, and this practical guide is quickly becoming a must-have resource for aspiring programmers and analysts alike.���� Don't wait. Start your coding journey today with Python for the Curious - and turn your curiosity into real-world coding power.
Coding for the Future
Are you ready to engineer data solutions that scale effortlessly?Ever wondered how top-performing systems handle billions of records with speed and precision?Coding for the Future: Advanced Python and SQL for Data Engineering by Alex Datasavant is the essential guide for developers, data engineers, and tech visionaries ready to master the cutting-edge techniques that power today's most scalable and intelligent applications.This book dives deep into the synergy between Python and SQL, equipping you to tackle real-world data challenges using functional programming, parallel processing, and distributed computing frameworks like Dask and Ray. You'll also explore advanced algorithm design and high-performance database architecture to build resilient, efficient systems from the ground up.What you'll gain from this book: ���� Master Advanced Python Techniques - From functional programming to asynchronous workflows, unlock Python's full potential for handling complex data operations.���� Understand the Backbone of Scalable Systems - Learn how advanced algorithms and thoughtful database design can supercharge your applications.����️ Apply Real-World Data Engineering Tools - Gain hands-on knowledge using multiprocessing, multithreading, and modern tools like AsyncIO, Dask, and Ray.���� Build Modular, Maintainable Code - Embrace composition, currying, and high-order functions for elegant, reusable solutions.���� Bridge SQL and Python with Precision - See how these two powerhouses work together in modern data engineering stacks to clean, query, and move data at scale.This is not your average programming book.With the tech landscape evolving rapidly, the demand for advanced data engineers is exploding. Coding for the Future is becoming the go-to playbook for those who want to future-proof their careers and lead innovation. Only a limited number of first editions are available - make sure you're one of the few who owns this exclusive resource.���� Don't wait. Get your copy now and start building the scalable systems of tomorrow - today.
The Expert’s Guide to Python and SQL
Are you ready to master the art of data analysis with two of the most powerful tools in the industry?Curious how top analysts transform raw data into actionable insights using Python and SQL?The Expert's Guide to Python and SQL: Complex Data Analysis by Alex Datanova is the definitive resource for professionals and aspiring data experts who want to take control of complex datasets and make smarter, faster decisions. This book provides a practical, in-depth journey into the world of advanced data analysis, blending Python's flexibility with SQL's precision.Through structured chapters and real-world examples, you'll explore how to efficiently manipulate, query, and transform data - whether you're handling millions of rows in a database or cleaning datasets for machine learning workflows. Perfect for those looking to transition into data science or elevate their analytical skills, this guide breaks down even the most intricate concepts into clear, actionable techniques.Inside this book, you'll discover how to: ✅ Set up a powerful development environment - Get your system ready with best practices that ensure speed and scalability from day one.���� Master Python and SQL fundamentals - Build a solid foundation with the essential concepts you need to move confidently into advanced work.���� Manipulate complex data structures - Learn how to handle nested, relational, and structured data formats with ease.���� Clean and transform data like a pro - Implement efficient workflows using SQL and Python's Pandas for reliable, repeatable results.���� Apply advanced querying techniques - Extract insights with powerful SQL commands and combine them seamlessly with Python analysis.���� Reshape and visualize data - Use modern tools to make your data tell a story, revealing patterns and trends that others miss.This isn't just another beginner's manual - it's your competitive edge.With the fast-paced evolution of the data industry, those who act now will lead tomorrow. Copies are moving quickly, and this expertly designed guide is becoming a go-to resource for analysts, developers, and data-driven professionals. Don't miss your chance to stay ahead of the curve.���� Take action today. Grab your copy of The Expert's Guide to Python and SQL and transform how you work with data - forever.
Python Programming Simplified
Ever felt overwhelmed trying to connect Python and SQL effectively?Wish there was a simple, no-fluff guide that shows you how to go from your first script to advanced queries - step by step?Python Programming Simplified: The Easy Guide to SQL Integration by Jamie Python is your clear, beginner-friendly roadmap to mastering two of the most in-demand tools in data science and development. Whether you're a coding newcomer, a student, or a professional looking to automate data workflows, this book offers everything you need - without the confusion.Starting from the very basics, you'll learn how to set up your Python environment, connect to SQL databases, write and execute queries directly from Python, and visualize your results like a pro. The book then gently guides you into more advanced topics, such as data cleaning, exploration, and building powerful queries - all while keeping explanations practical and digestible.Here's what you'll get inside: ���� Step-by-Step Setup Instructions - Learn how to install the right tools and libraries so you can start coding with confidence in minutes.���� Hands-On SQL Integration - Discover how to connect Python to real-world SQL databases and run efficient queries directly from your scripts.���� Clean and Explore Your Data with Ease - Master the basics of data manipulation, from removing duplicates to preparing data for analysis.���� Visualize Like a Pro - Use simple yet powerful Python libraries to create meaningful graphs and visual summaries of your SQL data.���� Build Toward Advanced SQL Use - Finish the book ready to write more complex SQL queries from within Python for real-world projects.This isn't just another Python book - it's your launchpad to productivity.With the growing demand for Python-SQL skills in data analysis, finance, and software development, learning this integration now gives you a critical edge. Early editions of this book are already gaining traction with students and professionals alike. Act fast - limited print copies available.���� Start your journey today. Grab your copy of Python Programming Simplified and unlock the power of Python + SQL - the easy way.
Data Mining and Business Intelligence
DESCRIPTION Data mining is crucial in business intelligence as it enables organizations to extract valuable insights and patterns from vast datasets, ultimately supporting informed decision-making, enhancing operational efficiency, and driving strategic growth. Validations, model building and interpretations are accomplished through databases, data warehouses, various supervised and unsupervised algorithms, tools for data modeling, descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics to ensure accurate decision-making. This book systematically explores the core concepts and techniques of data mining and business intelligence. It begins by introducing fundamental principles and key methodologies, including regression, classification, association rule mining, and clustering. The text progresses to cover business intelligence architectures, data warehousing, and essential practices like data modeling, dashboard design, and data visualization using tools like Power BI. Furthermore, it delves into advanced topics such as text mining, big data analytics, and the ethical considerations surrounding data mining and business intelligence, ensuring a well-rounded understanding.Upon completing this book, readers will be competent in understanding various pre-processing techniques, applying appropriate data mining algorithms to large data sets, and conducting data analysis and interpretation to derive meaningful insights. They will also gain skills in data modeling and visualization to effectively communicate findings to business leaders and policymakers. Additionally, readers will develop an understanding of ethical considerations in data practices.WHAT YOU WILL LEARN● Conducting pre-processing of data, applying appropriate algorithm to generate model summary and communicating the result effectively.● Master data mining, BI principles, regression, classification, association rules, and clustering.● Design BI architectures, ETL processes, data warehouses, and effective data visualizations.● Utilize Power BI for data modeling, dashboard design, and create compelling data visualizations.WHO THIS BOOK IS FORThis textbook is written for a wide range of audiences, including professionals such as data analysts, business managers, IT specialists, analytics professionals, and researchers seeking to enhance their understanding of data-driven decision-making. It is also valuable for students who want to establish foundational knowledge in data mining and business intelligence.
Frictionless Data
You've heard the promises of data: if you just unlock the hidden insights, you can win an unfair game. But for people at most companies, friction prevents data from flowing effortlessly into decisions. Technology alone won't make the connection for you. Neither will finding more data; you've already got plenty. To connect data with decisions, you'll need to reverse the way data flows through all your systems and decisions.If you're a business decision-maker - a CEO, CIO, or CxO - you'll see the connection between a data strategy and the thousands of decisions people in your company make every day. If you're a data worker, you'll see how your work changes the direction of a company. And if you're an analyst - someone who bridges the gap between top-level decision makers and what's really happening in the business - you'll find a new vision of how to use data to transform your job and your company.Instead of new technology offering tired promises to make your job easier, you'll find management solutions for better, faster decisions. Unified data flowing through your company, to everyone at the same time, improving business decisions through alignment and visibility, trust and scale.That's Frictionless Decision Data.
Frictionless Data
You've heard the promises of data: if you just unlock the hidden insights, you can win an unfair game. But for people at most companies, friction prevents data from flowing effortlessly into decisions. Technology alone won't make the connection for you. Neither will finding more data; you've already got plenty. To connect data with decisions, you'll need to reverse the way data flows through all your systems and decisions.If you're a business decision-maker - a CEO, CIO, or CxO - you'll see the connection between a data strategy and the thousands of decisions people in your company make every day. If you're a data worker, you'll see how your work changes the direction of a company. And if you're an analyst - someone who bridges the gap between top-level decision makers and what's really happening in the business - you'll find a new vision of how to use data to transform your job and your company.Instead of new technology offering tired promises to make your job easier, you'll find management solutions for better, faster decisions. Unified data flowing through your company, to everyone at the same time, improving business decisions through alignment and visibility, trust and scale.That's Frictionless Decision Data.
Cultural Data Science
This book addresses growing demand in the visual humanities for foundational knowledge in data analysis, image processing, and artificial intelligence. Intended for readers without prior technical knowledge, its eighteen chapters introduce key concepts in data science through examples from art history, visual computing, and cloud technologies. For advanced readers, it explores how digital methods enhance our understanding of our cultural past. Focusing on image-based humanities research, the book demonstrates practical applications using open source software such as R, RStudio, and ImageMagick, along with open data sets from institutions like the MoMA, the Met, and the Rijksmuseum. Ideal for students, researchers, and professionals in art history, digital humanities, and museum studies, this book bridges the gap between technology and the humanities, making complex digital methods accessible to a broad audience.
Computational Intelligence Methods for Bioinformatics and Biostatistics
This volume LNCS 15276 constitutes the revised selected papers of the 19th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2024, held in Benevento, Italy, during September 4-6, 2024. The 24 full papers and 3 short papers were carefully reviewed and selected from 28 submissions. They were organized in the following topical sections: Bioinformatics; Medical Informatics; Natural Language Processing (NLP) and Large Language Models (LLM) for Unstructured Data in Health Informatics; Modeling and Simulation Methods for Computational Biology and Systems Medicine; Machine Learning for Structured Data in Clinical Informatics and Medical Biology; Computational Intelligence in Personalized Medicine; and Computational Structural Bioinformatics.
The Numbers Game
For over a century, football (soccer) thrived on instinct, myth, and heart. Managers trusted their guts. Scouts trusted their eyes. Fans trusted the magic. But beneath the roar of the crowds and the glint of silverware, a quieter revolution was brewing - one driven by data, probabilities, and a new breed of thinkers who dared to question everything.In The Numbers Game: Why Everything You Know About Football (Soccer) Is Wrong, discover how a ragtag army of physicists, mathematicians, gamblers, and obsessive analysts reshaped the world's most beloved sport. From the misunderstood pioneers of the 1950s to the Moneyball boom, from Liverpool's data-fueled dynasty to the rise of AI-driven scouting and tactics, this book dives deep into the beautiful, chaotic collision between tradition and technology.Told in a fun, flowing narrative style that any fan can enjoy - with real stories, players, games, and unforgettable moments - this is not just the story of football's past. It's a thrilling look at its future.Because understanding the numbers doesn't kill the magic. It makes it even more miraculous.
Tableau Certified Data Analyst Study Guide
In today's data-driven world, earning the Tableau Certified Data Analyst credential signals your ability to connect, analyze, and communicate insights using one of the industry's leading visualization platforms. This study guide offers practical and comprehensive preparation for the certification exam, with walkthroughs, best practices, vocabulary, and example questions to help you build both confidence and competence in Tableau. Written by Christopher Gardner, business intelligence analyst and lead Tableau developer at the University of Michigan, this guide supports first-time test-takers and seasoned users alike. You'll begin with foundational skills in Tableau Prep Builder and Tableau Desktop--connecting, combining, and preparing data--before progressing to building effective visualizations, performing calculations, and applying advanced tools like level-of-detail expressions, parameters, forecasts, and predictive analytics. Read, manipulate, and prepare data for analysis Navigate Tableau's tools to build impactful visualizations Write calculations and functions to enhance your dashboards Share your work responsibly with secure publishing options
Modelling and Development of Intelligent Systems
This book CCIS 2486 constitutes the refereed proceedings of the 9th International Conference on Modelling and Development of Intelligent Systems, MDIS 2024, held in Sibiu, Romania, during October 17-19, 2024. The 16 full papers were carefully reviewed and selected from 42 submissions. The MDIS 2024 focuses on Machine Learning, Intelligent Systems for Decision supports, Modelling and optimization of Dynamic Systems, Evolutionary Computing and Metaheuristics, Security and Cryptography in Dynamic Systems.
Big Data Management and Analytics
As more companies go digital and conduct their business online, this book provides practical examples of how companies can better manage their data and use it to generate maximum value. The book offers an integrated approach by treating data as an asset and discusses how to preserve and protect it just like any other corporate asset.
Computational Intelligence Methods for Bioinformatics and Biostatistics
The book constitutes the refereed post-conference proceedings of the 18th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2023, held in Padova, Italy, during September 6-8, 2023. The 23 full papers presented in these proceedings were carefully reviewed and selected from 24 submissions. They focuses on topics such as machine learning in healthcare informatics and medical biology; machine learning explainability in medical imaging; prediction uncertainty in machine learning; advanced statistical and computational methodologies for single-cell omics data; present and future research in bioinformatics; distributed computing in bioinformatics and computational biology; and modelling and simulation methods for computational biology and systems medicine.
Navigating the Data Minefields
Volumes have been written on the need for high-quality data to support organizational decision-making. Navigating the Data Minefields: Management's Guide to Better Decision-Making provides executives and SMEs with a 'reasonable' set of (useful) tools they can adapt to their specific organization and operating environment.
Deep Learning Recommender Systems
Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of deep learning and generative AI for recommendation models, but also focuses on the industry architecture of the recommender systems. The authors include a detailed discussion of the implementation solutions used by companies such as YouTube, Alibaba, Airbnb and Netflix, as well as the related machine learning framework including model serving, model training, feature storage and data stream processing.
An Agile Data Guide to Information Product Canvas
Are you tired of spending valuable time documenting data requirements, only to hear "that's not what I wanted"?Do you feel like a "data order taker" instead of a trusted partner driving meaningful outcomes?Is your team struggling because stakeholders speak a "very different language" when it comes to data?Are traditional requirements gathering methods leaving you with ambiguous needs, leading to wasted effort and projects that underdeliver?If you answered yes to any of these, then An Agile Data Guide To Information Product Canvas is for you. This isn't just another tech or methodology heavy book, it's the beginning of your journey into a set of proven patterns and pattern templates designed to change how you gather data requirements and deliver organisational value.Created by Shane Gibson, Agile Data Coach and author of the Agile Data Guides, this book introduces the Information Product Canvas, a clear, concise pattern template to capture data and information needs in a repeatable way.Imagine capturing requirements in just 30 minutes using a shared language that everyone understands, no matter their role or technical skill. This guide shows you how to visually collaborate with stakeholders, validate requirements as you go, and clearly define scope boundaries from the start.By linking what stakeholders want with why they need it, you'll connect every piece of data work to tangible business outcomes.Avoid building dashboards, reports, datasets, or APIs no one uses. Deliver Information Products that reduce churn, grow revenue, or drive efficiency-because they're tied to real goals.This guide is built for Business Analysts, Product Managers, Data Analysts, Data Engineers, Data Leaders, Agile Coaches, and Stakeholders alike. Inside, you'll learn how to: Capture stakeholder needs clearly and get immediate feedbackEmpower data teams with exactly what they need, without the fluffHelp stakeholders prioritise what matters mostMinimise rework and reduce frustrating back-and-forthAccelerate delivery of valuable Information ProductsTranslate business problems into data workBuild trust by consistently delivering what's importantWith over 35 years of experience in the data world. and a decade coaching teams. Shane shares practical tools to help your team deliver value earlier and enjoy the process.An Agile Data Guide to Information Product Canvas is just the start. Keep learning with the companion website, virtual in-person course, or get instant help from the AgileData.Coach AI Chatbot.Ready to begin your journey?
Stakeholder Whispering
Learn to uncover what your managers, clients, customers and other stakeholders need before doing what they ask People don't know what they need. The wants we communicate to others are shaped by our subconscious and the familiar, and limited by what we think is possible. But they don't always reflect our actual needs. In Stakeholder Whispering: Uncover What People Need Before Doing What They Ask, author Bill Shander demonstrates how to get from your stakeholders' "order"--what they're asking for--to what they really need. You'll learn how to uncover the needs and desires of your clients, colleagues, bosses, customers, and other stakeholders based on what they ask for and how they ask for it, and how to deliver products and services that meet those needs. Inside the book: Help your stakeholders accomplish their goals and make the best decisions possible by helping them see what they really need Shift from executing on tactics driven by others' commands, to strategic action driven by underlying needs Transform your organization from one filled with "order-takers" into one where people work collaboratively to meet goal-oriented requirements Perfect for managers, executives, and other business leaders, Stakeholder Whispering will also earn a place on the bookshelves of entrepreneurs, founders, designers, product and project managers, UX experts, data and business analysts, and anyone else hoping to better meet the expectations of their coworkers, managers, clients, and customers.
Data Science Foundations
While data science is powering most modern organisations its technical intricacies often remain confined to a select few. This book is for those starting to work within this field to give them the foundations on which to build their confidence and understanding. Allowing them to contribute to projects through making decisions and acting on them. Written in an accessible manner, Data Science Foundations provides explanations of complex concepts and methods in layman's terms supported by examples. It also includes a holistic view of data science covering the technical, ethical and delivery challenges illustrated by case studies. Aligned with industry-recognised qualifications, this is the definitive guide for aspiring data scientists, providing a solid foundation in data analysis techniques.
Azure Cloud Projects
Learn Microsoft Azure from the ground up-master the fundamentals, build simple cloud applications, and gain real-world experience with each projectKey Features: - Understand the core concepts of Azure, including its architecture and primary services- Learn to build full-fledged Azure projects-from web apps to containerized solutions- Start with Azure basics and move to advanced topics like DevOps, security, and cost optimization- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Want to get hands-on with Azure and boost your cloud solution skills by working on real-world projects? Azure Cloud Projects is your go-to resource. Written by a seasoned Microsoft Cloud Technologies Architect renowned for his expertise in crafting innovative solutions, this hands-on guide will empower you to build real-world applications using Microsoft Azure.Through hands-on projects, you'll explore core cloud concepts and gain the experience needed to confidently launch your cloud career. The chapters help you build a strong foundation in cloud computing and Azure services, including how to set up your Azure account and navigate the portal. You'll learn how to develop increasingly complex solutions as you progress-from configuring networks and deploying web apps to managing databases and containers. Advancing through the chapters, you'll learn how to implement identity and access controls with Entra ID, automate workflows using Azure Functions, build a CI/CD pipeline with Azure DevOps, and optimize cloud costs for scalable growth.By the end of this book, you'll have a solid grasp of Azure's capabilities and a portfolio of practical projects that showcase your job-ready skills and set you up for success in entry-level cloud roles.What You Will Learn: - Set up Azure and explore cloud fundamentals- Implement Entra ID and hybrid identity solutions- Build and secure storage with Azure Blob Storage- Design virtual networks and configure VPN gateways- Deploy your first web app using Azure App Service- Automate workflows with Azure Functions- Create CI/CD pipelines with Azure DevOpsWho this book is for: If you're new to cloud computing and want to build a solid foundation in Microsoft Azure, this book is for you. Ideal for aspiring cloud engineers, junior developers, IT support staff, and tech enthusiasts, it offers simple, step-by-step guidance to help you learn by doing. No prior Azure experience is needed-just a basic understanding of cloud concepts and familiarity with programming.Table of Contents- Introduction to Azure and Cloud Computing- Implementing Entra ID and Hybrid Connectivity- Implementing Azure Storage Solutions- Understanding the Azure Network Topology, Design Principles, and Best Practices- Implementing a Serverless Solution- Principles and Practices of Scalable Data Management- Building a Continuous Integration and Continuous Delivery Pipeline- Designing and Building a Containerized Solution on Azure- Enhancing Security and Compliance in an Azure Project- Developing a Cloud Cost Optimization Strategy
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ICT Innovations 2024. Techconvergence: Ai, Business, and Startup Synergy
