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Lubanovic B: Introducing Python

Introducing Python

Modern Computing in Simple Packages

An accessible walkthrough of one of the world's most popular programming languages: C++ C++ For Dummies is your from-scratch guide that explains the essentials of what you need to know to understand the language and build your very first program in C++. Bradley Jones, experienced programmer and coding educator, packs this edition with examples and clear demonstrations that explain the "why" and the "how" of programming in C++, as well as the programming concepts that will form the foundation of your code, including classes, loops, classes, objects, inheritance, and more. C++ For Dummies provides easy-to-understand tutorials for the use of C++26 and explains the modern approach to printing and displaying information with the std::print method. It also discusses: <ul> <li>Explanations of features that make C++26 better including modules, smart pointers, concepts, and ranges</li> <li>Walkthroughs of updated libraries for the filesystem, ranges, formatting, time, printing, and more</li> <li>Testing and debugging techniques</li> </ul> Great for programmers, developers, students, or anyone interested in learning to code in C++ who are looking for a straightforward, hands-on approach to the language, C++ For Dummies is an accessible introduction to C++26 that offers readers a reliable head-start to a fun and rewarding skillset.

C++ For Dummies

On today's web, performance isn't just a nice-to-have--it's essential. A slow or unstable experience drives users away, while a fast, reliable one builds trust and keeps them engaged. Web Performance Engineering in the Age of AI is a comprehensive, hands-on guide for developers, technical leads, and performance engineers focused on delivering high-impact, user-first web experiences. Written by Addy Osmani, director at Google Cloud AI, this book combines deep technical insight with a strong emphasis on usability and real-world effectiveness. Through case studies, modern optimization techniques, and a user-centered approach, you'll learn how to identify bottlenecks, debug performance issues, and apply improvements that make a measurable difference. Grounded in current browser internals and performance metrics, this book prepares you to design and maintain faster, more resilient websites at scale. <ul> <li>Understand how users perceive speed--and why it matters</li> <li>Evaluate and improve performance using key metrics</li> <li>Optimize for stability, responsiveness, and load time</li> <li>Identify and address the most common performance bottlenecks</li> <li>Apply real-world strategies that lead to lasting results</li> </ul>

Mastering Speed and Quality for Ai-Generated Applications

Web Performance Engineering in the Age of AI

Build intelligent applications—no data science degree required. Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place. The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases. By the end of this book, you’ll know how to: <ul><li>Call LLM APIs and stream intelligent responses directly to your UI.</li><li>Engineer prompts that produce reliable, production-ready results.</li><li>Build RAG pipelines using vector databases to give AI access to your private data.</li><li>Fine-tune models with LoRA for specialized tasks like classification.</li><li>Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.</li></ul> LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software. Grab your code editor, bring your engineering instincts, and let’s build what’s next!

Build intelligent applications—no data science degree required. Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place. The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases. By the end of this book, you’ll know how to: <ul><li>Call LLM APIs and stream intelligent responses directly to your UI.</li><li>Engineer prompts that produce reliable, production-ready results.</li><li>Build RAG pipelines using vector databases to give AI access to your private data.</li><li>Fine-tune models with LoRA for specialized tasks like classification.</li><li>Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.</li></ul> LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software. Grab your code editor, bring your engineering instincts, and let’s build what’s next!

The Developer's Guide to AI

Aviation Human Factors: Theory, Research, and Applications for Advanced Aviation Systems is a postgraduate textbook designed to address the unprecedented challenges facing contemporary aviation that existing texts fail to cover adequately. The progressive integration of artificial intelligence into flight-critical systems, the emergence of advanced air mobility platforms without established regulatory frameworks, the shift toward single-pilot and reduced-crew operations, and the digital transformation of air traffic management all raise critical questions about human performance that demand rigorous, up-to-date educational resources.This textbook offers operationally grounded coverage of how operators interact with automated systems, maintain situational awareness, preserve manual skills that high automation erodes, and exercise authority over increasingly autonomous technologies. It is built on a fundamental insight that transformed the field: accidents are not primarily the result of individual failure, but of the way systems around individuals are designed, organized, and managed. This realization demanded intellectual courage from investigators and institutional honesty from regulators, particularly in an industry built on professional standards and certification. Over decades, the field has developed the tools and evidence to demonstrate that system design lies at the heart of safety performance rather than human inadequacy.The textbook gives readers the theoretical frameworks, empirical knowledge, and critical thinking skills needed to address the defining human factors questions of next-generation aviation practice, ultimately helping them to understand and improve the conditions under which people can perform safely, sustainably, and with professional dignity. It is for postgraduate students in aviation human factors, aviation safety, aerospace human systems, and related disciplines. It is equally relevant to aviation professionals seeking to deepen their understanding of contemporary human factors challenges.This book will feature instructor PowerPoint slides, chapter summary sheets, case study teaching notes and a research methods resource guide.

Theory, Research, and Applications for Advanced Aviation Systems

Aviation Human Factors

Dance with the Dragon “A must-read for any reverse engineer.” ­—Max “Libra” Kersten Developed through more than a decade of research within the NSA, Ghidra was created to address some of the most challenging reverse engineering problems faced by the US government. With its open source release, this formerly restricted tool suite is now freely available to cybersecurity practitioners, researchers, and students worldwide. The Ghidra Book provides a clear, practical guide to understanding and using this powerful platform. In addition to introducing core reverse engineering techniques for software and malware analysis, the book explains Ghidra’s key components, features, and support for extensibility and collaborative analysis. Beginning with the fundamentals and progressing to more advanced workflows, you’ll learn how to use Ghidra effectively and adapt it to new challenges. You’ll learn how to: <ul><li>Navigate and interpret a disassembly</li><li>Use Ghidra’s built-in decompiler to expedite analysis</li><li>Analyze unfamiliar and obfuscated binaries</li><li>Extend Ghidra to recognize new data types</li><li>Build custom analyzers, loaders, and processor support modules</li><li>Script Ghidra tasks to automate analysis tasks</li><li>Set up a collaborative reverse engineering environment</li></ul> This fully revised second edition reflects the modern Ghidra platform as it is used in practice, with updated tooling, improved workflows, and hands-on real-world examples. Designed for beginners and experienced users alike, The Ghidra Book prepares you to tackle real reverse engineering problems with confidence. New to this edition: <ul><li>Behavioral analysis with BSim</li><li>Full Python 3 support via PyGhidra</li><li>Enhanced debugging and graphing tools</li><li>Modern container-based deployment</li></ul>

Dance with the Dragon “A must-read for any reverse engineer.” ­—Max “Libra” Kersten Developed through more than a decade of research within the NSA, Ghidra was created to address some of the most challenging reverse engineering problems faced by the US government. With its open source release, this formerly restricted tool suite is now freely available to cybersecurity practitioners, researchers, and students worldwide. The Ghidra Book provides a clear, practical guide to understanding and using this powerful platform. In addition to introducing core reverse engineering techniques for software and malware analysis, the book explains Ghidra’s key components, features, and support for extensibility and collaborative analysis. Beginning with the fundamentals and progressing to more advanced workflows, you’ll learn how to use Ghidra effectively and adapt it to new challenges. You’ll learn how to: <ul><li>Navigate and interpret a disassembly</li><li>Use Ghidra’s built-in decompiler to expedite analysis</li><li>Analyze unfamiliar and obfuscated binaries</li><li>Extend Ghidra to recognize new data types</li><li>Build custom analyzers, loaders, and processor support modules</li><li>Script Ghidra tasks to automate analysis tasks</li><li>Set up a collaborative reverse engineering environment</li></ul> This fully revised second edition reflects the modern Ghidra platform as it is used in practice, with updated tooling, improved workflows, and hands-on real-world examples. Designed for beginners and experienced users alike, The Ghidra Book prepares you to tackle real reverse engineering problems with confidence. New to this edition: <ul><li>Behavioral analysis with BSim</li><li>Full Python 3 support via PyGhidra</li><li>Enhanced debugging and graphing tools</li><li>Modern container-based deployment</li></ul>

The Definitive Guide

The Ghidra Book, 2nd Edition

Python for Accounting and Finance: A Mind-Mapping Approach is an innovative textbook written for accounting and finance students and professionals with no prior coding experience. It introduces Python programming through a mind-mapping approach that presents complex concepts in a clear and structured way to support understanding and retention.The book is organised into four parts: Python Basics, Data Analysis and Visualisation, Automation, and Machine Learning. It places programming within practical accounting and finance contexts so that learners can see the direct application of coding in their field. The textbook uses mind maps as a core instructional method. These visual diagrams show programming concepts and their connections, helping learners to understand, organise and recall information, particularly those who learn through visual representation.Enhanced with Google Colab notebooks, this book creates a highly supportive learning experience, equipping students of accounting and finance with essential programming skills for their speciality.

A Mind-Mapping Approach

Python for Accounting and Finance

Banish Your Mouse. The Linux Command Line isn’t just a reference manual. It’s a complete education on how Linux really works. From your first tentative keystrokes to writing powerful shell scripts, you’ll build the confidence and understanding to make your system work for you. Now in its third edition, this best-selling guide has been fully updated with modern examples, nearly 40 pages of new content, and downloadable scripts from LinuxCommand. Used in more than a thousand classrooms and libraries worldwide, it has helped over 150,000 readers gain fluency and confidence in Linux. Author and command line guru William Shotts delivers not just commands, but genuine insight, guided by his philosophy: Make everything as simple as possible, but no simpler. Through short, digestible chapters, you’ll learn to: <ul><li>Navigate the filesystem, manage files, and configure your environment</li><li>Chain commands, redirect input/output, and use regular expressions</li><li>Control processes, manage packages, and work with networking tools</li><li>Edit text with Vim</li><li>Write shell scripts to automate tasks and build custom tools</li><li>Use core utilities like grep, cut, sed, and tar to process data</li><li>Manage filesystems and compile programs from source</li></ul> Whether you’re managing servers, studying cybersecurity, or just curious about your computer, The Linux Command Line gives you the knowledge to command your system with confidence.

Banish Your Mouse. The Linux Command Line isn’t just a reference manual. It’s a complete education on how Linux really works. From your first tentative keystrokes to writing powerful shell scripts, you’ll build the confidence and understanding to make your system work for you. Now in its third edition, this best-selling guide has been fully updated with modern examples, nearly 40 pages of new content, and downloadable scripts from LinuxCommand. Used in more than a thousand classrooms and libraries worldwide, it has helped over 150,000 readers gain fluency and confidence in Linux. Author and command line guru William Shotts delivers not just commands, but genuine insight, guided by his philosophy: Make everything as simple as possible, but no simpler. Through short, digestible chapters, you’ll learn to: <ul><li>Navigate the filesystem, manage files, and configure your environment</li><li>Chain commands, redirect input/output, and use regular expressions</li><li>Control processes, manage packages, and work with networking tools</li><li>Edit text with Vim</li><li>Write shell scripts to automate tasks and build custom tools</li><li>Use core utilities like grep, cut, sed, and tar to process data</li><li>Manage filesystems and compile programs from source</li></ul> Whether you’re managing servers, studying cybersecurity, or just curious about your computer, The Linux Command Line gives you the knowledge to command your system with confidence.

A Complete Introduction

The Linux Command Line, 3rd Edition

Independently published

Automation sounds powerful-until you run into APIs, webhooks, JSON, credentials, expressions, AI agents, and dozens of unfamiliar technical terms.Automating Smarter with n8n was written to make that learning curve manageable.You do not need a programming background or previous experience with workflow automation. This practical, beginner-friendly guide takes you from your very first n8n workflow to reliable business automations that connect applications, process data, call APIs, handle failures, and even use AI where it genuinely adds value.Instead of overwhelming you with theory, the book teaches one concept at a time through clear explanations, practical exercises, and an evolving real-world Smart Lead-to-Client Automation System.Mistakes are part of the process. A webhook may fail. An expression may reference the wrong field. An API may reject a request. Rather than treating these moments as setbacks, this book shows you how to inspect what happened, fix the problem, and build confidence one successful workflow at a time.Key Features- Beginner-friendly explanations with no prior coding experience required - Hands-on n8n workflows that build progressively - Practical business process automation examples - Real-world API, webhook, JSON, and data-mapping skills - AI-powered workflows, AI agents, tools, memory, MCP, and human approval - Testing, debugging, security, monitoring, and error recovery - Docker self-hosting, PostgreSQL, backups, scaling, and production guidance - A complete lead-to-client automation project that brings everything togetherWhat You Will Learn- Build and test n8n workflows from scratch - Understand nodes, triggers, executions, JSON, expressions, and data mapping - Connect external services with REST APIs and webhooks - Create branching logic, loops, reusable sub-workflows, and scheduled automations - Automate leads, customer follow-ups, tasks, reports, forms, and business data - Protect credentials and design safer production workflows - Debug failed executions and recover from partial failures - Build practical AI-powered automations and controlled AI agents - Deploy and maintain a self-hosted n8n environment with Docker - Design automations that remain understandable, reliable, and maintainableWho This Book Is ForThis book is ideal for complete beginners, self-learners, entrepreneurs, freelancers, operations professionals, aspiring automation builders, and anyone who wants to reduce repetitive work using practical workflow automation.If you can use a computer and are willing to learn step by step, you can follow this book.Table of ContentsChapter 1: Getting Started with n8n and Thinking in Workflows Chapter 2: Working with Data, JSON, Mapping, and Expressions Chapter 3: Triggers, Webhooks, APIs, and External Services Chapter 4: Building Logic, Control Flow, and Reusable Workflows Chapter 5: Automating Everyday Business Processes Chapter 6: Testing, Debugging, Security, and Workflow Reliability Chapter 7: Building AI-Powered Workflows and Practical AI Agents Chapter 8: Building the Smart Lead-to-Client Automation System Chapter 9: Deployment, Self-Hosting, Scaling, and MaintenanceYou do not have to master everything at once. Start with one workflow, understand why it works, celebrate each small win, and build from there.Start your n8n automation journey today and turn repetitive work into clear, practical, reliable systems you can confidently build and improve.

A Beginner-Friendly Roadmap to Reliable Workflows, AI Agents, and Everyday Business Automation

Automating Smarter with n8n

As AI continues to speed up software delivery, the need for comprehensive quality assurance has never been greater. This new edition of Full Stack Testing is your essential guide to high-quality software testing across every layer of modern web and mobile applications. Industry expert Gayathri Mohan explores 10 different testing skills across functional and nonfunctional testing and automation, including a focus on adopting AI-driven tools and workflows. This updated edition covers mobile, web, data, security, performance, accessibility, and other testing types and presents concrete strategies, tool selection criteria, and automation techniques proven to scale. Packed with actionable insights and exercises on over 40 testing tools, it prepares readers to build high-quality software immediately in fast-paced, high-stakes environments. <ul> <li>Implement effective testing strategies and test automation across web, mobile, and backend systems</li> <li>Address essential nonfunctional requirements testing such as performance, security, and accessibility, among many others</li> <li>Incorporate AI testing tools for both functional and nonfunctional testing and automation</li> <li>Integrate testing in CI/CD workflows for faster, safer releases</li> <li>Expand your career potential by building a well-rounded testing skill set</li> </ul>

A Practical Guide for Delivering High Quality Software in the Age of AI

Full Stack Testing

Build Your Digital Empire Without Writing Code

Vibe Coding Mastery

A Comprehensive Guide: Deterministic Engines, Lock-Free Concurrency, and Exchange-Optimized Code Paths

High Frequency Trading with Rust

Tcl/Tk: A Developer's Guide, Fourth Edition is an essential resource for computer professionals, from systems administrators to programmers. It covers new Tcl features, expanded Tcl-OO coverage, web technology using Rivet and SQLite, and AI integration with AWS. The book also delves into Tcl's standard tools, multi-faceted nature, and extensibility, making it ideal for developing GUIs, client/server middleware, and web applications. Readers will quickly learn to code in Tcl and extend its capabilities with the inclusion of numerous code examples and case studies. The updated edition includes over 150 pages on the latest Tcl extensions, proven techniques, and tools for effective programming. Extensive code snippets and online tutorials enhance understanding, while case studies provide practical insights. The book also discusses Tcl's role as the hidden "secret sauce" in commercial applications, highlighting its graphics and control infrastructure. With a vibrant user community and evolving API, Tcl/Tk remains a powerful and versatile programming platform for both beginners and experienced programmers.

A Developer's Guide

Tcl/Tk

Introducing Python

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