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Lubanovic B: Introducing Python

Introducing Python

Modern Computing in Simple Packages

The software engineering landscape is constantly evolving, and the demands on engineers intensify with each technological and methodological shift. In such an environment, being a good coder isn't enough--true effectiveness goes beyond technical skills. This book is designed as a guide for individual contributors who want to level up to meet the challenges of a changing industry. Author Addy Osmani offers a trove of actionable insights, real-world examples, practical frameworks, and pragmatic advice drawn from years of experience (and plenty of mistakes) in the software industry. You'll learn the fundamental skills every effective engineer needs, as well as the strategic thinking and leadership that distinguishes senior and staff engineers. The Effective Software Engineer is a perennial resource for those who are committed to the ongoing process of learning, adapting, and striving to make a meaningful difference. <ul> <li>Connect your work to the overall goals of your team and organization</li> <li>Identify the most important tasks and avoid distractions</li> <li>Work effectively with your team, stakeholders, and users</li> <li>Navigate the evolving technology landscape, including AI tools, while focusing on uniquely human contributions</li> <li>Tackle complex challenges and make sound technical choices</li> <li>Stay relevant and adapt to change through continuous learning and growth</li> <li>Balance code quality with delivery speed while managing technical debt strategically</li> </ul>

How ICS at Every Level Can Leverage Ai, Prioritize High-Value Work, and Lead Beyond Their Role

The Effective Software Engineer

An innovative, learn-by-doing textbook that teaches how to design for the web while engaging a critical lens on the technoculture that sustains it. Critical web design, like critical design, employs a social usefulness to challenge the ways technology enters our lives. It reclaims the mechanisms, tools, and practices used to produce coercive and commercial interfaces, harnessing the power of design and networked information to question preconceptions about the medium itself. This engaging, practical textbook explores how to design for the web while maintaining a critical understanding of the technoculture that sustains it. Motivated by new media art practices and speculative design, xtine burrough and Owen Mundy teach readers to conceptualize, design, and program responsive websites as both an applied and creative practice, making professional front end development tools accessible to all. <ul><li>Learn-by-doing approach builds technical skills in interface design, usability/accessibility, and coding in HTML/CSS and Javascript</li><li>Historical, political, and philosophical context relates the “why” argument for learning to code</li><li>Case studies and interviews with artists and designers bring ideas to life</li><li>Supplemental resources include code, exercises, and demonstrations</li></ul>

Critical Web Design

Good architecture is more than just good code--it's clear communication. The C4 Model: Visualizing Software Architecture is a practical guide to creating diagrams that help teams understand, build, and talk about software systems more effectively. Developed by Simon Brown and used by thousands of teams worldwide, the C4 model breaks architecture down into four simple levels (context, container, component, and code), making it easier to see the big picture and the details. Whether you're onboarding a new teammate, presenting to stakeholders, or just trying to make sense of a complex system, this book shows you how to create visuals that actually make an impact. With approachable guidance, real examples, and tips for tailoring diagrams to different audiences, it's a must-have for any developer or architect who wants to make their ideas easier to understand. <ul> <li>Learn how to apply the C4 model from high-level views to low-level details</li> <li>Create diagrams that support collaboration and clarity across teams</li> <li>Understand who each diagram is from and when to use it</li> <li>Go beyond C4 with other useful visual tools like dynamic views and deployment maps</li> <li>Build better conversations around how your software works and why</li> </ul>

Visualizing Software Architecture

The C4 Model

To build the future, we need new ways of supporting software teams. This book will give you a secret weapon: the psychology that creates resilience for developers, sustainable practices for software teams, and innovation for organizations. You'll learn from rigorous empirical evidence gathered from top engineering organizations and thousands of developers around the world, revealing powerful principles software teams can use to guard against failure and drive cultures of collaboration and problem-solving.Making incredible software doesn't have to be a death march-this book presents a humane alternative for software teams looking to use the transformative power of behavioral science to understand what drives technology businesses forward. The Psychology of Software Teams provides a model for developers and leaders who want to bring the human back to tech and take a science-based approach to unlocking the "black box" of software engineering.This book is for the developers and builders of the future. Bringing science and heart together, The Psychology of Software Teams will teach you how to untangle your thinking from pervasive myths about software work and harness the superpowers of psychology to create more joyful, innovative, and thriving environments for software.

The Psychology of Software Teams

Your spellbook for code close to the metal. In hacker circles, heavy wizardry means code that trades on intimate knowledge of a system—the kind that speaks its private dialects and bends its rules. Heavy Wizardry 101 teaches you to write it. You’ll build shellcode, backdoors, droppers, and worms from scratch, working at the instruction level where magic happens. Every project is implemented for four architectures: x86_64, ARM, MIPS, and RISC-V. You’ll write the same program four times, seeing exactly what stays constant and what changes. Each chapter starts with architecture fundamentals, such as memory layout, calling conventions, and stack mechanics, then walks through complete working implementations on Linux in safe, contained environments. Learn to: <ul><li>Write position-independent shellcode and programs that execute in constrained memory spaces</li><li>Implement TCP reverse shells that bypass basic network restrictions</li><li>Build executable droppers that embed and deploy payloads without detection</li><li>Create self-replicating worms that propagate across networked systems</li><li>Write basic port scanners to discover services in a network</li><li>Port low-level code between architectures by understanding instruction-level differences</li></ul> Whether you’re a penetration tester who wants to stop depending on Metasploit, a security researcher analyzing malware, or a systems programmer who needs to understand how computers work, this book gives you the skills to build and reason about code at the lowest level.

Shellcodes, Backdoors, Droppers, and Worms

Heavy Wizardry 101

Independently published

La inteligencia artificial ya está presente en miles de pequeñas empresas, aunque muchas todavía no saben exactamente qué herramientas utilizan, qué datos comparten ni qué responsabilidades están asumiendo.El Reglamento Europeo de Inteligencia Artificial introduce nuevas reglas para empresas, profesionales y proveedores tecnológicos. Algunas prácticas están prohibidas, determinados sistemas se consideran de alto riesgo y otros deben cumplir obligaciones de transparencia. A todo ello se suman la protección de datos, los derechos laborales, la propiedad intelectual y la ciberseguridad.Este libro traduce ese complejo marco normativo a un lenguaje claro y práctico. A través de ejemplos empresariales, criterios de clasificación y modelos preparados para adaptar, aprenderás a identificar los usos de IA de tu empresa, evaluar proveedores, proteger información confidencial, supervisar decisiones automatizadas y establecer una política interna responsable.También encontrarás un plan de cumplimiento en treinta días y plantillas para crear un inventario de sistemas, documentar riesgos, formar al equipo, controlar incidentes y comunicar adecuadamente el uso de inteligencia artificial.Una guía informativa especialmente pensada para pymes, autónomos, responsables de equipos y profesionales que quieren aprovechar la IA sin improvisar ni ignorar sus consecuencias.Porque cumplir no consiste en acumular documentos, sino en entender qué hace cada sistema, establecer límites y poder demostrar que la empresa actuó con diligencia.

Qué puede hacer tu empresa, qué debe controlar y cómo utilizar la inteligencia artificial sin riesgos legales

EL REGLAMENTO EUROPEO DE IA PARA PYMES

Walk into your next interview having already done it three times. Most software engineers prepare by grinding hundreds of coding problems - and still freeze when a real interviewer asks them to think out loud. The gap isn't knowledge. It's interview practice. Mock Interview Prep for Software Engineers closes that gap by recreating the full interview experience on the page: realistic questions, structured expert answers, complete interview simulations, and the same evaluation frameworks interviewers use to score you. Inside, you'll find: <ul><li>Behavioral interview practice - high-signal questions with structured answer frameworks, so your stories land with impact instead of rambling</li><li>FAANG-level coding practice - problems worked through the way strong candidates actually solve them: clarifying, pattern-matching, communicating trade-offs, and testing</li><li>System design practice - real designs (rate limiters, chat systems, notification pipelines, distributed file storage) with architecture diagrams and step-by-step reasoning</li><li>Three full mock interview simulations - experience the pacing, pressure, and follow-up questions of a real loop before you ever face one</li><li>A complete self-evaluation toolkit - ten scorecards, rubrics, and readiness checklists to measure yourself the way hiring committees do, spot weak areas, and track improvement week by week</li><li>Recruiter insights - the hidden evaluation framework, the red flags that quietly end candidacies, and what strong candidates do differently</li><li>Bonus rapid-fire section - 50 quick questions plus five cheat sheets covering coding patterns, system design trade-offs, and behavioral answer frameworks for last-day revision</li></ul> &gt;Stop practicing problems. Start practicing interviews.

FAANG-Level Behavioral, Coding, and System Design Questions with Structured Answers, Full Interview Simulations, and Self-Evaluation Frameworks

Mock Interview Prep for Software Engineers

Build Your Digital Empire Without Writing Code

Vibe Coding Mastery

Whether they're building a startup or scaling an established org, engineering leaders know the real job is keeping chaos under control. In a world of shifting priorities, scarce resources, and rapid change, leadership means embracing the unknown, managing moving targets, and creating clarity where there's none. Sometimes, you're building the plane as you're flying it--writing the roadmap as you go, designing processes in real time. Engineering Leadership: The Hard Parts cuts through the noise, offering a guide for tackling these gritty, real-world challenges. Current and future leaders, this is your toolkit. It's packed with principles, techniques, and mental models for thriving in uncertainty. <ul><li>Navigate the full scope: Step into engineering leadership's complex, multifaceted role</li> <li>Build high-impact teams: Master advanced techniques to grow and lead your technical talent</li> <li>Align and execute: Connect strategy to business outcomes, scale effectively, and balance innovation with precision</li> <li>Lead with resilience: Adapt quickly and drive continuous improvement</li> <li>Accelerate your career: Develop your leadership edge and unlock new growth</li> </ul> Stay ahead. Lead with purpose.

Navigating Chaos to Build Teams That Deliver

Engineering Leadership: The Hard Parts

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

AI can write the code. You still need to know what it does. You’re already good at Excel. But you’re tired of the copy/paste, the helper columns, and the brittle formulas that break when someone adds a row. You want automation, and whether you write the code yourself or let AI generate it, you need to understand what’s actually running your business processes. Automate Excel with Python teaches you to build real workflows, step-by-step. You’ll read messy workbooks into pandas dataframes, filter and reshape data without helper columns, merge sources without silent VLOOKUP failures, and export polished results with formatting intact. A capstone chapter ties it together: import a multi-tab workbook, generate exception reports, and email the results—all from one script you run with a single click. You’ll learn how to: <ul><li>Read existing Excel files you already use into Python, even the messy ones</li><li>Replace daily copy/paste routines with reusable scripts</li><li>Merge and match data across sources with auditable results</li><li>Handle dates, times, and the edge cases that break formulas</li><li>Export from Python to Excel with column widths, number formats, and frozen panes intact</li><li>Build workflows that run daily without babysitting</li></ul> AI can write the code. This book makes sure you’re the one in control of it.

A Practical Guide for Nonprogrammers

Automate Excel with Python

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

Introducing Python

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