Bøger udgivet af Manning Publications

Don’t be perplexed by data structures! This fun, friendly, and fully illustrated guide makes it easy to learn useful data structures you’ll put to work every day.Grokking Data Structures makes it a breeze to learn the most useful day-to-day data structures. You’ll follow a steady learning path from absolute basics to advanced concepts, all illustrated with fun examples, engaging industry stories, and hundreds of graphics and cartoons. In Grokking Data Structures you’ll learn how to: • Understand the most important and widely used data structures • Identify use cases where data structures make the biggest difference • Pick the best data structure solution for a coding challenge • Understand the tradeoffs of data structures and avoid catastrophes • Implement basic data collections like arrays, linked lists, stacks, and priority queues • Use trees and binary search trees (BSTs) to organize data • Use graphs to model relationships and learn about complex data • Efficiently search by key using hash tables and hashing functions • Reason about time and memory requirements of operations on data structures Grokking Data Structures carefully guides you from the most basic data structures like arrays or linked lists all the way to powerful structures like graphs. It’s perfect for beginners, and you won’t need anything more than high school math to get started. Each data structure you encounter comes with its own complete Python implementation so you can start experimenting with what you learn right away. Foreword by Daniel Zingaro. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Data structures are vital for shaping and handling your data organization. They’re also an important part of most IT job interviews! Whether you’re new to data structures or just dusting off what you learned in school, this book will get you up to speed fast with no advanced math, abstract theory, or complicated proofs. About the book Grokking Data Structures introduces common and useful data structures that every developer needs to know. Real-world examples show you how data structures are used in practice, from making your searches faster to handling triage in an emergency room. You’ll love the fun cartoons, insightful stories, and useful Python code samples that make data structures come alive. And unlike jargon-laden academic texts, this book is easy-to-read and practical. What's inside • Fast searches using hash tables • Trees and binary search trees (BSTs) to organize data • Use graphs to model complex data • The best data structures for a coding challenge About the reader For readers who know the basics of Python. A perfect companion to Grokking Algorithms! About the author Marcello La Rocca is a research scientist and a full-stack engineer. He has contributed to large-scale web applications and machine learning infrastructure at Twitter, Microsoft, and Apple. The technical editor on this book was Beau Carnes. Table of Contents 1 Introducing data structures: Why you should learn about data structures 2 Static arrays: Building your first data structure 3 Sorted arrays: Searching faster, at a price 4 Big-O notation: A framework for measuring algorithm efficiency 5 Dynamic arrays: Handling dynamically sized datasets 6 Linked lists: A flexible dynamic collection 7 Abstract data types: Designing the simplest container—the bag 8 Stacks: Piling up data before processing it 9 Queues: Keeping information in the same order as it arrives 10 Priority queues and heaps: Handling data according to its priority 11 Binary search trees: A balanced container 12 Dictionaries and hash tables: How to build and use associative arrays 13 Graphs: Learning how to model complex relationships in data

Create a portfolio of cool and creative websites without having to write your own code. You don't need to be a master of HTML, CSS, or JavaScript to create a website. You just need ChatGPT! With proper prompts, anyone can create stunning sites by simply describing what they want in plain English and letting ChatGPT's powerful AI take care of the code. If you have an idea, then ChatGPT--and this essential guide--can help you do the rest. Inside Build a Website with ChatGPT you'll learn the important skills of AI-assisted web programming, such as: Crafting effective prompts to generate HTML, CSS, and JavaScript Converting text into images with DALL-E integration Building navigation bars, image galleries, and contact forms Deploying fully functional sites to the web for free Customizing the generated code for unique sites Build a Website with ChatGPT is a web development beginner's guide with a difference. It teaches you exactly what you need to know to start building websites in an AI-first world. That means no time wasted memorizing tricky HTML, CSS, or JavaScript! You'll design and develop a portfolio of projects including a personal homepage, photo gallery, and online journal--all with your new AI assistant writing your code. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book Build a Website with ChatGPT teaches you zero-coding web development utilizing powerful generative AI tools like ChatGPT. If you can open a web browser, you're ready to start building--absolutely no coding experience required. Inside, you'll learn the high-level coding concepts that let you check and perfect AI output, prompting skills that deliver the exact code you need, and how to properly deploy your site to the web--for free! Annotated code samples and advice on code customization give you the perfect balance of understanding and convenience. Plus, you'll get access to a tried-and-tested repository of prompts and working code. About the reader For non-developers seeking an easy way to build websites with no coding required. About the author Paul McFedries has been a professional technical writer for nearly 25 years. He has over 100 books to his credit, which have sold more than 4 million copies. Paul has been building websites since 1996, and has intimate knowledge of both HTML and CSS.

Build professional quality web applications using Python and the Django 4.2 web framework. The Django web application framework powers huge sites like Netflix, Dropbox, YouTube and Spotify. Learn how it can power your web apps too! In this hands-on book, you'll start building a fully-functional web application with Django starting with chapter 1. In Django in Action you'll: Build a multi-user web site in Django Read, write, and manage data Create reusable and composable HTML templates Manage user data including form submissions and file uploads Set up authentication, authorization, and per-person-per-page permissions Manage the backend using the Django Admin tool Discover Django libraries and plugins Django in Action is the perfect way to get started for new Django developers creating their first Python-based web apps. It's written by Christopher Trudeau, co-host of The Real Python Podcast and creator of dozens of popular courses at Real Python and TalkPython. As you work through the book, you'll create and upgrade a web application as you explore useful and exciting Django plug-ins, and tackle challenging exercises that help lock-in your new skills. You'll especially enjoy the author's lighthearted style that makes learning fun! Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book Django in Action teaches Django from scratch. All you need to get started are some basic Python skills. Chapter-by-chapter, you'll construct a complete multi-user website for RiffMates: a classified ads site aimed at rocking musicians. The book starts with Django's basics, and works through all of the core concepts of the framework until you're comfortable and confident creating your own web apps. As you go, you'll dive into great third-party libraries from the Django community that let you customize Django. You'll even learn how to use Django with single-page web apps, REST APIs, and more. About the reader For readers who know the basics of Python programming and some HTML. About the author Christopher Trudeau has built high performing teams in a variety of industries including gaming, marketing, travel, finance, government, and consulting. He has authored content for Talk Python and Real Python, including articles and video courses on a variety of Django and Python topics. He is co-author of the yearly feature round-up for new Python releases and co-host of the Real Python Podcast.

Write Powerful Rust Macros teaches you how to write, test, debug, and publish macros for Rust. It's perfect for Rust practitioners who want to master this powerful development technique.

Inside AI tours every leading technique of AI and machine learning, showing you how they work, and how you can incorporate them into your business. Accessible, non-technical language and real-world use cases help you develop a practical AI literacy so you can start using these tools to their full potential.

Kotlin in Action, Second Edition teaches you Kotlin techniques you can use for almost any type of application, from enterprise services to Android apps. You'll start with Kotlin fundamentals, learning how the language handles everything from statements and functions to classes and types, and about its unique features that make Kotlin programming so seamless.

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.

Learn AI-Assisted Python Programming: With GitHub Copilot teaches you to code the AI way. Instead of starting with slow, low-level details, you'll learn how to bring your ideas to life immediately using AI-generated code. Absolutely no programming experience required!