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Lubanovic Bill: Introducing Python

Introducing Python

Modern Computing in Simple Packages

DK Complete Courses

Learning to code has never been easier than with this innovative visual guide to computer programming for beginners. In our digital world, coding skills are in high demand and the need for programmers is still growing. Taking the first steps in learning to code may seem daunting but by using a graphic method to break code into small chunks, this book brings essential skills easily within reach. Each chapter explores one of the most popular languages, with practical programming projects to show you how programming works. You'll learn to think like a programmer by breaking a problem down into parts, before turning those parts into lines of code. Short, easy-to-follow steps then show you, piece by piece, how to build a complete program. There are challenges for you to tackle to build your confidence before moving on. Written by a team of expert coders and coding teachers, the Beginner's Step-by-Step Coding Course is the ideal way to get to grips with coding.

Learn Computer Programming the Easy Way

Beginner's Step-by-Step Coding Course

From First Script to Full Website—Fast! Tired of cobbling together PHP solutions from scattered online tutorials? Frustrated by outdated PHP practices that leave your code vulnerable and hard to maintain? Whether you’re building your first dynamic website or modernizing legacy systems, PHP Crash Course gives you a complete, practical foundation for writing professional web applications. In this comprehensive, example-driven guide, you’ll learn how to: <ul><li>Write clean, maintainable PHP code using modern language features and best practices</li><li>Build secure web applications that protect against common vulnerabilities</li><li>Master database integration using PDO and object-relational mappings (ORMs)</li><li>Implement professional features like shopping carts and user authentication</li><li>Structure applications using object-oriented programming and model-view-controller (MVC) patterns</li><li>Leverage powerful tools like Composer and Twig to accelerate development </li></ul> Starting with PHP fundamentals, you’ll progress through six carefully crafted sections covering essential patterns, security best practices, database integration, and advanced concepts like object-oriented programming. Each chapter builds on real-world examples, giving you the skills to solve common development challenges. Whether you’re a complete beginner or an experienced developer looking to modernize your PHP skills, PHP Crash Course gives you everything you need to build professional, dynamic websites with confidence. Includes setup instructions for Windows, macOS, and Linux, and configuration details for Replit, the free online development environment.

The Complete, Modern, Hands-On Guide

PHP Crash Course

Synthetic Media, Deepfakes, and Cyber Deception: Attacks, Analysis, and Defenses introduces the only analytical Synthetic Media Analysis Framework (SMAF) to help describe cyber threats and help security professionals anticipate and analyze attacks. This framework encompasses seven dimensions: Credibility, Control, Medium, Interactivity, Familiarity, Intended Target, and Evocation. Synthetic media is a broad term that encompasses the artificial manipulation, modification, and production of information, covering a spectrum from audio-video deepfakes to text-based chatbots. Synthetic media provides cyber attackers and scammers with a game-changing advantage over traditional ROSE attacks because they have the potential to convincingly impersonate close associates through text, imagery, voice, and video. This burgeoning threat has yet to be meaningfully addressed through any written treatment on the topic. The book is co-authored by three cyber influence and deception experts who have gained deep knowledge and experience on the topic through diverse, true operational pathways and backgrounds. The diversity and perspectives of the author team makes the content in the book the broadest and deepest treatment of synthetic media attacks available to readers.

Attacks, Analysis, and Defenses

Synthetic Media, Deepfakes, and Cyber Deception

Test and sharpen your Python skills with seven guided projects that explore popular computer science challenges. Computer science can feel unapproachable for those without a formal CS education. Fun Computer Science Projects in Python pulls back that curtain, illuminating several foundational CS concepts through creative, hands-on projects. Each of the 7 projects is presented in a code-centric tutorial that gently introduces topics like interpreters, emulators, and machine learning without getting bogged down by complex theory. The projects showcase advanced Python language features and clean code principles while exploring interesting algorithms. Chapters conclude with discussions of real-world applications of the topic and proposed exercises to extend the reader’s skills. Covers Python 3.x

Building Interpreters, Art, Emulators and MP in Python

Computer Science From Scratch

Whether it's to adhere to regulations, access markets by meeting specific standards, or devise data analytics and AI strategies, companies today are busy implementing metadata repositories--metadata tools about the IT, data, information, and knowledge in your company. Until now, most of these repositories have been implemented in isolation from one another, but that practice lies at the core of problems with data management in many companies today. Author Ole Olesen-Bagneux, chief evangelist at Actian, shows you how to masterfully manage your metadata repositories by properly coordinating them. That requires a data discovery team to increase insights for all key players in enterprise data management, from the CIO and CDO to enterprise and data architects. Coordinating these repositories will help you and your organization democratize data and excel at data management. This book shows you how. <ul> <li>Learn what metadata repositories are and what they do</li> <li>Explore which data to represent in these repositories</li> <li>Set up a data discovery team to make data searchable</li> <li>Learn how to manage and coordinate repositories in a meta grid</li> <li>Increase innovation by setting up a functional data marketplace</li> <li>Make information security and data protection more robust </li> <li>Gain a deeper understanding of your company IT landscape</li> <li>Activate real enterprise architecture based on evidence</li> </ul>

Uncover the Meta Grid and Unlock Data, Information, and Knowledge Management

Fundamentals of Metadata Management

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place. With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. Drawing on the Hugging Face ecosystem, with a focus on clear explanations and real-world examples, the book takes you through cutting-edge tools like Scikit-Learn and PyTorch--from basic regression techniques to advanced neural networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to build intelligent systems. <ul> <li>Understand ML basics, including concepts like overfitting and hyperparameter tuning</li> <li>Complete an end-to-end ML project using scikit-Learn, covering everything from data exploration to model evaluation</li> <li>Learn techniques for unsupervised learning, such as clustering and anomaly detection</li> <li>Build advanced architectures like transformers and diffusion models with PyTorch</li> <li>Harness the power of pretrained models--including LLMs--and learn to fine-tune them</li> <li>Train autonomous agents using reinforcement learning</li></ul>

Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and PyTorch

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

To prepare legacy software for the future, it's essential to modernize it. Domain-Driven Transformation provides an effective approach for transforming large legacy systems--either by breaking them into microservices or by converting them into maintainable modular monoliths. In this guide, Carola Lilienthal and Henning Schwentner present their method, a comprehensive approach for transforming architecturally eroded software systems at the strategic, technical, and team organizational levels. You'll learn how to analyze business processes, break them down into bounded contexts, and apply domain-driven refactorings within Agile teams. Finally, this book offers guidance on designing the transformation process based on the current state of the existing architecture. Packed with real-world examples and case-driven insights, you'll uncover the tools you need to build systems that scale, support business agility, and remain resilient over time. <ul><li>Assess your system's modularity and architectural health with the Modularity Maturity Index (MMI)</li> <li>Apply strategic and tactical domain-driven design (DDD) to manage complexity</li> <li>Reorganize and align your teams with Team Topologies</li> <li>Use EventStorming, domain storytelling, and Scenario Casting to clarify design</li> <li>Refactor incrementally with patterns that reduce risk while delivering value</li></ul>

Modernize Legacy Systems and Mitigate Risk

Domain-Driven Transformation

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

Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. With the latest edition of this popular hands-on guide, you'll tackle dynamic web programming using the most recent versions of today's core technologies: PHP, MySQL, JavaScript, CSS, HTML5, jQuery, Node.js, and the powerful React library. Web designers will learn how to use these technologies together while picking up valuable web programming practices along the way, including how to optimize websites for mobile devices. You'll put everything together to build a fully functional social networking site suitable for both desktop and mobile browsers. <ul> <li>Explore MySQL from database structure to complex queries </li><li>Use the MySQL PDO extension, PHP's improved MySQL interface </li><li>Create dynamic PHP web pages that tailor themselves to the user </li><li>Manage cookies and sessions and maintain a high level of security </li><li>Enhance JavaScript with the React library </li><li>Use Ajax calls for background browser-server communication </li><li>Style your web pages by acquiring CSS skills </li><li>Implement HTML5 features including geolocation, audio, video, and the canvas element </li><li>Reformat your websites into mobile web apps </li></ul>

A Step-By-Step Guide to Creating Dynamic Websites

Learning Php, MySQL & JavaScript

The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem.

Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem

This text offers a comprehensive introduction to data science and financial technology, with a focus on advanced tools, data modeling, and their applications in FinTech. Adopting an inquiry-based approach, it integrates detailed case studies, clear definitions of financial terms, and practical examples to guide readers through core concepts.

Models, Tools, and Case Studies

Applied Data Science in FinTech

Introducing Python

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