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Collaborative Software Design: How to facilitate domain modeling decisions is a practical guide to conducting effective software design sessions that involve all business and technical stakeholders.

AI-Powered Developer: Build great software with ChatGPT and Copilot shows you how to put AI coding tools like Github Copilot and ChatGPT into action. This practical book helps you develop an instinct for AI code and an understanding of what problems AI can and can't solve. You'll soon be confident in your transition to this new way to build software, aided by your diligent team of AI assistants.

Grokking Web Application Security teaches you how to build web apps that are ready for and resilient to any attack. You'll learn what motivates hackers to hack a site, discover the latest tools for identifying security issues, and set up a development lifecycle that catches security issues early.

Classic Game Programming on the NES will show you how to turn your ideas into reality. You don't need any game development experience or specialist programming skills. You don't need a team of developers and graphic artists. This one-stop guide teaches you everything you need to know, step-by-step.

The Complete Obsolete Guide to Generative AI is a lighthearted look at programming with AI, as well as a rock-solid resource for getting the best out of these insanely powerful services. Let it be your guide to creating images and presentations, working with data feeds, prompt engineering, and much more.

Elliptic Curve Cryptography (ECC) is the powerful security protocol used for everything from credit card transitions to the blockchain. This reader-friendly book guides you step-by-step until you're ready to write embedded systems code with advanced mathematical algorithms.

A friendly, fully-illustrated introduction to the most important computer programming algorithms. Suitable for self-taught programmers, engineers, job seekers, or anyone who wants to brush up on algorithms.

Object-Oriented Software Design in C++ is packed with 'before' program examples that show what not to do, followed by 'after' versions built with the benefits of good design. You'll learn how to gather and analyze requirements so you're building exactly what your client is looking for, discover how to utilize iterative development to backtrack mistakes, and revise your code to be as good as it can be.

Separate the AI facts from the AI fiction, and discover how you can best put these tools to work in your organization.In Inside AI AI professor and entrepreneur Dr. Akli Adjaoute puts AI in perspective, with informed insights from 30 years spent in the field. His book lays out a pragmatic blueprint that every leader can utilize to drive innovation with artificial intelligence. In Inside AI you’ll learn how to: Gain insight into diverse AI techniques and methodologies Learn from both successful and failed AI applications Identify the capabilities and limitations of AI systems Understand successful and failed uses of AI in business See where human cognition still exceeds AI Bust common myths like AI’s threat to jobs and civilization Manage AI projects effectively Inside AI takes you on a journey through artificial intelligence, from AI’s origins in traditional expert systems all the way to deep learning and Large Language Models. There’s no hype here—you’ll get the grounded, evidence-based insights that are vital for making strategic decisions and preparing your business for the future. Foreword by Raymond Kendall. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Artificial Intelligence enthusiasts promise everything from human-like collaboration on everyday tasks to the end of work as we know it. Is AI just a flash in the pan, or can it really transform how you do business? This intriguing book sifts through the hype and separates the truth from the myths, with clear advice on what AI can—and can’t—achieve. About the book Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language Models. Its accessible and jargon-free explanations of leading AI techniques showcase how AI delivers tangible advantages to businesses. Both inspiring and practical, this book provides a proven framework for developing successful AI applications. What's inside Insights from successful and failed AI applications A survey of AI techniques and methodologies Bust common AI myths Manage AI projects effectively About the reader For anyone seeking grounded insights into AI’s capabilities, including business leaders and decision makers. About the author Akli Adjaoute is the founder of multiple AI-related companies. He served as an adjunct professor at the University of San Francisco and as Scientific Committee Chair and Head of the AI department at EPITA. The technical editor on this book was Richard Vaughan. Table of contents 1 The rise of machine intelligence 2 AI mastery: Essential techniques, Part 1 3 AI mastery: Essential techniques, Part 2 4 Smart agent technology 5 Generative AI and large language models 6 Human vs. machine 7 AI doesn’t turn data into intelligence 8 AI doesn’t threaten our jobs 9 Technological singularity is absurd 10 Learning from successful and failed applications of AI 11 Next-generation AI A Tracing the roots: From mechanical calculators to digital dreams B Algorithms and programming languages

Build a Frontend Web Framework (From Scratch) guides you through a simple component-based frontend framework that borrows from React, Svelte, Angular, and other familiar tools. You'll learn how a modern framework operates by adding features like component state and lifecycle management, a virtual DOM, and reconciliation algorithms to update the HTML efficiently.

Everyday Data Visualization gives you skills you'll use to enhance the most common data visualizations, including charts and tables, data dashboards, and infographics. You'll learn how to use color, typography, positioning, and choice of charts to catch and keep a viewer's attention.

100 Java Mistakes and How To Avoid Them highlights 100 Java coding errors, from beginner missteps to mistakes even Java experts don't know they're making. Each case includes clear examples to show you what to look for and concrete troubleshooting advice.

Generative AI tools like ChatGPT are amazing - but how can you get the most out of them in your daily work? This book introduces cutting-edge AI tools and the practical techniques you need to use them safely and effectively.

Write object-oriented code that's manageable, maintainable, and future-proof.Keeping your object-oriented designs simple demands a creative approach and that's exactly what you'll find in Simple Object-Oriented Design. This book is full of patterns and principles for reducing complexity, each one proven in author Mauricio Aniche's 20-year career in software development. You'll learn how to tackle code's natural growth in complexity, and adopt a "good enough" approach that means it's easy to refactor when requirements change.You'll discover insightful principles for: Making code readable and documented Improving consistency and encapsulation Managing dependencies Designing abstractions Handling infrastructure Effective modularization Learn what constitutes both good and bad object-oriented software design, discover how to make better trade-offs in design decisions, and when to embrace complexity over simpler data structures. With this book as your vital reference, you'll be ready to write code that will last the test of time, without slowing feature delivery to a crawl.

Learn how and why to use Kubernetes to deploy projects of any size.

Solve design, planning, and control problems using modern machine learning and AI techniques. For AI practitioners familiar with the Python language.

Build your skills with essential modern C++ features hands-on by completing eight interesting coding projects. For readers who know the basics of C++, whether they're beginners or out-of-practice veterans.

Combine the best of human data analysis with the power of AI and ChatGPT. Generative AI for Data Analytics teaches you how to accelerate essential data analytics tasks using ChatGPT. Whether you're a data expert seeking efficiency gains, an analyst looking to extend your spreadsheets with serious data tools, or a complete beginner making a ChatGPT-empowered career jump, this book is for you.

F# in Action guides you from Functional Programming novice all the way to putting F# applications into production! It leverages your existing knowledge of software development and the .NET platform to get you up-and-running fast. Learn how you can use scripts to rapidly explore .NET libraries and packages, and level up your .NET skills for data exploration and analysis.

Take control of your wealth management by building your own reliable, effective, and automated financial advisor tool.Automated digital financial advisors—also called robo-advisors—manage billions of dollars in assets. Follow the step-by-step instructions in this hands-on guide, and you’ll learn to build your robo-advisor capable of managing a real investing strategy. In Build a Robo-Advisor with Python (From Scratch) you’ll learn how to: • Measure returns and estimate the benefits of robo-advisors • Use Monte Carlo simulations to build and test financial planning tools • Construct diversified, efficient portfolios using optimization and other methods • Implement and evaluate rebalancing methods to track a target portfolio over time • Decrease taxes through tax-loss harvesting and optimized withdrawal sequencing • Use reinforcement learning to find the optimal investment path up to, and after, retirement Automated “robo-advisors” are commonplace in financial services, thanks to their ability to give high-quality investment advice at a fraction of the cost of human advisors. Build a Robo-Advisor with Python (From Scratch) teaches you to develop one of these powerful, flexible tools using popular and free Python libraries. You’ll master practical Python skills in demand in financial services, and financial planning skills that will help you take the best care of your money. All examples are accompanied by working Python code, and are easy to adjust for investors anywhere in the world. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Millions of investors use robo-advisors as an alternative to human financial advisors. In this one-of-a-kind guide, you’ll learn how to build one of your own. Your robo-advisor will assist you with all aspects of financial planning, including saving for retirement, creating a diversified portfolio, and decreasing your tax bill. And along the way, you’ll learn a lot about Python and finance! About the book Build a Robo-Advisor with Python (From Scratch) guides you step-by-step, feature-by-feature as you create a robo-advisor from the ground up. As you go, you’ll dive into techniques like reinforcement learning, convex optimization, and Monte Carlo methods that you can apply even outside the field of FinTech. When you finish, your powerful assistant will be able to create optimal asset allocations, rebalance investments while minimizing taxes, and more. What's inside • Advanced portfolio construction techniques • Tax-loss harvesting, sequencing of retirement withdrawals, and asset location • Financial planning using AI and Monte Carlo simulations • Rebalancing methods to track a portfolio over time About the reader Accessible to anyone with a basic knowledge of Python and finance—no special skills required. About the author Rob Reider is a quantitative hedge fund portfolio manager. He holds a PhD in Finance from The Wharton School and is an Adjunct Professor at NYU. Alex Michalka is head of investments research at Wealthfront. He holds a PhD from Columbia University. Table of Contents Part 1 1 The rise of robo-advisors 2 An introduction to portfolio construction 3 Estimating expected returns and covariances 4 ETFs: The building blocks of robo-portfolios Part 2 5 Monte Carlo simulations 6 Financial planning using reinforcement learning 7 Measuring and evaluating returns 8 Asset location 9 Tax-efficient withdrawal strategies Part 3 10 Optimization and portfolio construction 11 Asset allocation by risk: Introduction to risk parity 12 The Black-Litterman model Part 4 13 Rebalancing: Tracking a target portfolio 14 Tax-loss harvesting: Improving after-tax returns

D3.js in Action, Third Edition teaches you how to create an extensive portfolio of visualizations, interactive graphics, and data-driven applications using D3.js. This third edition is fully updated to the latest version of D3. It also contains new coverage of the essential aspects of modern digital visualizations.

Learn Rust in a Month of Lunches is a fast and friendly guide to Rust proficiency. Each lesson introduces a new feature of the language, from working with types to making sense of the Rust standard library. Best of all, almost all code samples run in the browser-based Rust Playground. No need to install Rust to get started on a lesson!

Think Like a Software Engineering Manager teaches you the skills you need to hire, train, and lead a successful software development team. In this practical guide, you'll explore all aspects of the Software Engineering manager's job, from operational practices along the software development lifecycle to the core skills of handling humans.

Essential TypeScript 5 is a fully updated third edition of the classic Adam Freeman bestseller. It provides full coverage of TypeScript 5, including new features like decorators. You'll begin with the hows-and-whys of TypeScript, then quickly progress to practical applications of static types. No wasted pages! Each chapter is focused on the skills you need to write awesome web apps.

Build Your Own Robot introduces you to the exciting world of robotics. Your robot isn't just theory. Beginning in chapter 2 you'll write code to make your robot move and respond to touch sensors. The book gives accessible advice on available hardware and free open source software that makes creating a robot fun and affordable.

From the back cover Azure Security is a practical guide to the native security services of Microsoft Azure. You'll learn how to use Azure tools to improve your systems security and get an insider's perspective on establishing a DevSecOps program using the capabilities of Microsoft Defender for Cloud. Insightful analogies and hands-on examples help demystify tricky security concepts, while clever exercises help reinforce what you've learned. About the reader For software and security engineers building and securing Azure applications.

From the back cover This exciting second edition of Web Design Playground is fully updated with new technologies and thoughtful approaches for building modern websites. Discover timeless HTML and CSS techniques, and dive into their cool new tags and features, including Flexbox and CSS Grid. Four serious projects put your skills to the test and give you useful, real-world pages for your portfolio. Don't worry about setting up your own servers and domain names--the book comes with a free online "playground" to experiment with and get creative. You can concentrate on core skills like page layout and adding images and video, as well as learning typography, responsive design, and the other modern web design techniques. Before you know it, you'll be ready to create gorgeous pages that reflect your creativity and style. About the reader If you can use a browser, you're ready to create web pages!

Machine Learning Algorithms in Depth dives deep into the 'how' and the 'why' of machine learning algorithms. For each category of an algorithm, you will go from math-first principles to hands-on implementation in Python. You will explore dozens of examples from across all the fields of machine learning, including finance, computer vision, NLP, and more. Each example is accompanied by worked-out derivations and details as well as insightful code samples and graphics. By the time you're done reading, you will know how major algorithms work under the hood -- and be a better machine learning practitioner. About the reader For intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus.

Cyber Threat Hunting teaches you how to identify potential breaches of your security. You will learn by exploring real-life scenarios drawn from author Nadhem AlFardan's twenty years in information security. Beginning with the fundamentals, you will build a practical hunting framework and discover good practices for optimising and improving expeditions. You will learn to employ advanced techniques that draw on machine learning and statistical analysis to help spot anomalies. Best of all, this practical book comes with downloadable datasets and scenario templates to practice and hone your threat-hunting techniques. About the reader For security, network, and systems professionals familiar with security tools and Python.

A Pythonic Adventure listens in on the conversations between two aspiring Python programmers. The book's dialogue helps young programmers understand complex concepts much more easily. Characters ask questions, make mistakes, and offer different solutions -- just like in real life. Readers will develop fun and engaging Python applications, including a coffee shop app for taking orders and a LEGO minifigure exchange program. Best of all, A Pythonic Adventure dives deeper than other beginner books. Inside are important skills for any new software developer, such as how to plan an application, what to expect from users, and how to test code and check for errors. By the time they are done reading, young learners will not only know how to write code, they will know how to think about problems like professional developers! About the reader For programmers aged 10+, and older friends and mentors who are interested in teaching programming.