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Lubanovic Bill: Introducing Python

Introducing Python

Modern Computing in Simple Packages

A one-stop-shop for all the math you should have learned for your programming career. Every great programming challenge has mathematical principles at its heart. Whether you’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts.&nbsp; In Math for Programming, you’ll master the essential mathematics that will take you from basic coding to serious software development. You’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms. Through clear explanations and practical examples, you’ll learn to: <ul><li>Harness linear algebra to manipulate data with unprecedented efficiency</li><li>Apply calculus concepts to optimize algorithms and drive simulations</li><li>Use probability and statistics to model uncertainty and analyze data</li><li>Master the discrete mathematics that powers&nbsp;modern data structures</li><li>Solve dynamic problems through differential equations</li></ul> Whether you’re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Math for Programming will turn complex math into a practical tool you’ll use every day.

A one-stop-shop for all the math you should have learned for your programming career. Every great programming challenge has mathematical principles at its heart. Whether you’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts.&nbsp; In Math for Programming, you’ll master the essential mathematics that will take you from basic coding to serious software development. You’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms. Through clear explanations and practical examples, you’ll learn to: <ul><li>Harness linear algebra to manipulate data with unprecedented efficiency</li><li>Apply calculus concepts to optimize algorithms and drive simulations</li><li>Use probability and statistics to model uncertainty and analyze data</li><li>Master the discrete mathematics that powers&nbsp;modern data structures</li><li>Solve dynamic problems through differential equations</li></ul> Whether you’re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Math for Programming will turn complex math into a practical tool you’ll use every day.

Math for Programming

THE #2 TIMES BESTSELLER'Artificial intelligence is going to have a massive impact on everyone's lives... an accessible and sensible read that helps demystify AI' Deborah Meaden, entrepreneur and star of Dragon's Den'Nigel Toon is a visionary leader in the field of artificial intelligence... a must-read' Marc Tremblay, Distinguished Engineer, MicrosoftThose who understand how AI thinks are about to win big. We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context? How does it play and win games that have an almost infinite number of moves? And how can we work with AI to produce insights and innovations that are beyond human capacity, from writing code in an instant to unfolding the elaborate 3D puzzles of proteins?We stand at the brink of a historic change that will disrupt society and at the same time create enormous opportunities for those who understand how AI thinks. Nigel Toon shows how we train AI to train itself, so that it can paint images that have never existed before or converse in any language. In doing so he reveals the strange and fascinating ways that humans think, too, as we learn how to live in a world shared by machine intelligences of our own creation.

How we built it, how it can help us, and how we can control it

How AI Thinks

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

Is your frontend slowing down innovation and complicating team collaboration? Consider micro-frontends--a practical way to break development silos and accelerate feature delivery. In this updated second edition, software architects, tech leads, and software developers will learn how to design, build, and deploy independent micro-frontends that compose unique frontend systems. Author Luca Mezzalira, principal serverless specialist solutions architect at AWS, shows you how micro-frontends enable agility within an organization, decentralize decision-making, and optimize for fast flow. This gives your organization technical flexibility and allows you to hire and retain a broad spectrum of talent. Micro-frontends also support distributed or colocated teams more efficiently. Start transforming your frontend strategy today with proven techniques for speed of delivery, autonomy, and scale. <ul> <li>Accelerate delivery with four foundational pillars for micro-frontend success</li> <li>Apply actionable principles and best practices to empower your teams</li> <li>Navigate the benefits and pitfalls of micro-frontend architectures</li> <li>Integrate micro-frontends seamlessly with microservices and distributed systems</li> <li>Architect client-side and server-side micro-frontend solutions for maximum impact</li> </ul>

Distributed Systems for the Frontend

Building Micro-Frontends

Not the Same Old JavaScript. Think you know JavaScript? Think again. This isn’t your typical coding book—it’s a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in JavaScript. Whether you’re a frontend developer tackling complex applications, a backend engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code.&nbsp; Key features include: <ul><li>Modern JavaScript techniques: Use the latest language features and functional programming principles for cleaner, more efficient code.</li><li>Performance-focused approach: Analyze and optimize algorithms using Big O notation.</li><li>Essential algorithms explained: Implement and fine-tune core algorithms like quicksort, merge sort, digital search, and binary search.</li><li>Algorithm design strategies: Solve challenging problems with techniques like recursion, dynamic programming, backtracking, and brute-force search.</li><li>Advanced data structures: Explore complex structures such as binary search trees, heaps, and graphs. </li></ul> Each chapter is carefully crafted with clear, no-nonsense explanations of complex concepts, real-world coding examples, and challenging questions (with answers at the end) to reinforce your understanding. Ready to break free from ordinary JavaScript? Whether your aim is to build cutting-edge web applications, optimize critical systems, or land your dream job, this book equips you with the advanced JavaScript knowledge that sets true experts apart.

Not the Same Old JavaScript. Think you know JavaScript? Think again. This isn’t your typical coding book—it’s a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in JavaScript. Whether you’re a frontend developer tackling complex applications, a backend engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code.&nbsp; Key features include: <ul><li>Modern JavaScript techniques: Use the latest language features and functional programming principles for cleaner, more efficient code.</li><li>Performance-focused approach: Analyze and optimize algorithms using Big O notation.</li><li>Essential algorithms explained: Implement and fine-tune core algorithms like quicksort, merge sort, digital search, and binary search.</li><li>Algorithm design strategies: Solve challenging problems with techniques like recursion, dynamic programming, backtracking, and brute-force search.</li><li>Advanced data structures: Explore complex structures such as binary search trees, heaps, and graphs. </li></ul> Each chapter is carefully crafted with clear, no-nonsense explanations of complex concepts, real-world coding examples, and challenging questions (with answers at the end) to reinforce your understanding. Ready to break free from ordinary JavaScript? Whether your aim is to build cutting-edge web applications, optimize critical systems, or land your dream job, this book equips you with the advanced JavaScript knowledge that sets true experts apart.

Data Structures and Algorithms in JavaScript

This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and statistical analysis. The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin writing programs in R. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing tests and modeling. You’ll even learn how to create impressive data visualizations with R’s graphics tools and contributed packages, like ggplot2, ggvis, and rgl. Dozens of hands-on exercises take you from theory to practice as you learn: <ul><li>The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops</li><li>Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling and how to execute them in R</li><li>How to access R’s thousands of functions, libraries, and datasets</li><li>How to draw valid and useful conclusions from your data and create publication-quality graphics of your results</li></ul> The Book of R brings both statistics and R to life. With clear explanations, practical examples, and hands-on exercises, this book opens the door to the evolving world of data analysis. New to this edition: The entire book has been revised and expanded, with nearly 100 pages of new content and exercises. You’ll find greater coverage of data plots and R graphics, guidance on using pipes to string together commands, and new ways to read and write external files, among many other lessons.

This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and statistical analysis. The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin writing programs in R. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing tests and modeling. You’ll even learn how to create impressive data visualizations with R’s graphics tools and contributed packages, like ggplot2, ggvis, and rgl. Dozens of hands-on exercises take you from theory to practice as you learn: <ul><li>The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops</li><li>Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling and how to execute them in R</li><li>How to access R’s thousands of functions, libraries, and datasets</li><li>How to draw valid and useful conclusions from your data and create publication-quality graphics of your results</li></ul> The Book of R brings both statistics and R to life. With clear explanations, practical examples, and hands-on exercises, this book opens the door to the evolving world of data analysis. New to this edition: The entire book has been revised and expanded, with nearly 100 pages of new content and exercises. You’ll find greater coverage of data plots and R graphics, guidance on using pipes to string together commands, and new ways to read and write external files, among many other lessons.

A First Course in Programming and Statistics

The Book of R, 2nd Edition

Master the inner workings of your x64 Linux system and expand your OS expertise by writing your very own debugger using C++. If debuggers seem like magic to you, there is no better way to demystify them than to write your own. This book will show you exactly how to do it, walking you through the entire process of building a debugger for x64 Linux systems using C++. As go from an empty filesystem folder to a fully fledged debugger capable of setting breakpoints, stepping through code, manipulating variables, and more, you’ll learn how to: <ul><li>Attach to a process</li><li>Read and write to registers</li><li>Set hardware and software breakpoints</li><li>Output disassembly</li><li>Support multithreading and other tasks</li></ul> As you add features to your debugger, you’ll also pick up a wealth of knowledge about operating systems, compilers, software testing, and low-level programming that you can use in your day-to-day development.

Building a Debugger

Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data. In this hands-on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every feature of Polars, showing you how to use it for real-world tasks like data wrangling, exploratory data analysis, building pipelines, and more. Whether you're a seasoned data professional or new to data science, you'll quickly master Polars' expressive API and its underlying concepts. You don't need to have experience with pandas, but if you do, this book will help you make a seamless transition. The many practical examples and real-world datasets are available on GitHub, so you can easily follow along. <ul> <li>Process data from CSV, Parquet, spreadsheets, databases, and the cloud </li><li>Get a solid understanding of Expressions, the building blocks of every query </li><li>Handle complex data types, including text, time, and nested structures </li><li>Use both eager and lazy APIs, and know when to use each </li><li>Visualize your data with Altair, hvPlot, plotnine, and Great Tables </li><li>Extend Polars with your own Python functions and Rust plugins </li><li>Leverage GPU acceleration to boost performance even further </li></ul>

Transforming, Analyzing, and Visualizing Data with a Fast and Expressive Dataframe API

Python Polars: The Definitive Guide

AK Peters Visualization Series

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.

Designing Creative Data Visualizations from Charts to Art

CHART

Maintaining secrets, credentials, and machine identities in secure ways is an important, though often overlooked, aspect of secure software development. DevOps security often addresses vulnerabilities, but it neglects broader discussions like authentication, authorization, and access control, potentially leaving the door open for breaches. That's where an identity security strategy integrated in your code, infrastructure, and environments from day one can help. In this practical book, authors John Walsh, Uzi Ailon, and Matt Barker provide conceptual frameworks, technology overviews, and useful code snippets to bridge the gap between development, IT, and security to integrate robust identity security across apps, CI/CD pipelines, Kubernetes and cloud native, hybrid and multicloud, process automation, IoT, and more. You'll learn: <ul> <li>What developers need to know about managing secrets and identity to build safer apps </li><li>What machine identities, secrets, and credentials are--and how to secure them </li><li>How to secure the software supply chain to build safer apps </li><li>How identity security fits into modern software development practices </li></ul>

Building with Identity, Secrets, and Credentials

Identity Security for Software Development

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

Take your web development skills from browser to server with Node.js, the popular backend framework used by more than 10 million developers at companies like Amazon, Netflix, and LinkedIn, to name just a few. If you're comfortable working with JavaScript, this practical guide from Samer Buna will show you how to effectively build and maintain even the most complex Node.js applications. Following a hands-on, project-based approach, you'll move from key fundamentals to advanced concepts such as modules, packages, event-driven architecture, streams, child processes, scaling, testing, deployment, and much more--all while focusing on what actually matters in practice. <ul> <li>Understand Node.js's native capabilities in order to best use the powerful libraries and tools in its ecosystem </li><li>Utilize Node.js modules and packages </li><li>Explore Node.js's event-driven architecture, streams, and child processes </li><li>Create, test, and maintain efficient and scalable Node.js applications
</li></ul>

A Beyond the Basics Guide

Efficient Node.Js

Introducing Python

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