Böcker utgivna av Manning Publications

Supercharge your applications with the ultimate guide to asynchronous and multithreaded programming in C#!C# Concurrency teaches you how to write effective multithreaded and asynchronous software in C#. Practical techniques, real-world examples, and useful code samples cut through the confusion around async/await and help you write rapid, reliable, and bug-free code. In C# Concurrency: Asynchronous and Multithreaded Programming you’ll learn how to: • Take full advantage of async/await • Write bug-free multithreaded code every time • Create multithreaded code that delivers real performance improvements • Grok C# and .NET multithreading and asynchronous primitives • Know when to use concurrency techniques—and when not to use them! In C# Concurrency Nir Dobovizki, a seasoned C# veteran with over 30 years of high-performance programming experience, shares his deep knowledge and expert techniques. Say goodbye to frustrating pitfalls and impossible-to-find bugs that slow down your applications. Nir's careful approach will teach you how to navigate these challenges with ease, allowing you to achieve lightning-fast performance like never before! Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Asynchronous and multithreaded programs can perform multiple tasks simultaneously without losing speed or reliability. But getting concurrency right can challenge even experienced developers. This practical book teaches you to deliver concurrent C# apps that are lighting fast and free of the deadlocks and other synchronization issues that undermine performance and take forever to find. About the book C# Concurrency equips programmers with a comprehensive understanding of multithreading and asynchronous programming, focusing on the practical use of the C# async-await feature to simplify asynchronous tasks. It teaches how to avoid common pitfalls, addresses classic multithreading issues like deadlocks and race conditions, and advanced topics such as controlling thread of execution and using thread-safe collections. What's inside • .NET multithreading and asynchronous primitives • When to use concurrency techniques—and when not to! • Confidently use async/await About the reader For experienced C# programmers. No knowledge of asynchro- nous programming required. About the author Nir Dobovizki is a senior software architect and consultant who has worked on concurrent and asynchronous systems since the late 90s. Table of Contents 1 Asynchronous programming and multithreading 2 The compiler rewrites your code 3 The async and await keywords 4 Multithreading basics 5 async/await and multithreading 6 When to use async/await 7 Classic multithreading pitfalls and how to avoid them Part 2 8 Processing a sequence of items in the background 9 Canceling background tasks 10 Await your own events 11 Controlling on which thread your asynchronous code runs 12 Exceptions and async/await 13 Thread-safe collections 14 Generating collections asynchronously/await foreach and IAsyncEnumerable

"DuckDB is a cutting-edge SQL database that makes it incredibly easy to analyze big data sets right from your laptop. In DuckDB in Action you'll learn everything you need to know to get the most out of this awesome tool, keep your data secure on prem, and save you hundreds on your cloud bill. From data ingestion to advanced data pipelines, you'll learn everything you need to get the most out of DuckDB--all through hands-on examples."

Tested and pragmatic methods for writing blogs, articles, and other technical pieces that stand out from the crowd!

Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques.Every organization in the world stores data in tables. Machine Learning for Tabular Data reveals practical techniques for applying machine learning techniques like deep learning and gradient boosting to your company’s rows and columns. Inside Machine Learning for Tabular Data you’ll learn how to: Pick the right machine learning approach for your data Apply deep learning to tabular data Deploy tabular machine learning locally and in the cloud Pipelines to automatically train and maintain a model This book collects best practices, hard-won tips and tricks, and hands-on techniques for making sense of tabular data using advanced machine learning techniques. Inside, you’ll discover how to use XGBoost and LightGBM on tabular data, optimize deep learning libraries like TensorFlow and PyTorch for tabular data, and use cloud tools like Vertex AI to create an automated MLOps pipeline. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book Machine Learning for Tabular Data teaches you to train insightful machine learning models on common tabular data such as spreadsheets, databases, and logs. It covers classic machine learning techniques like gradient boosting and more contemporary deep learning approaches. You’ll find practical examples for every stage of the machine learning pipeline, such as using XGBoost and Keras to predict the prices of Airbnb listings in New York City and deploying a machine learning model on your local system with Flask. By the time you’re finished, you’ll be equipped with the skills to apply machine learning to the kinds of data you work with every day. About the reader For readers experienced with Python and the basics of machine learning. About the author Mark Ryan is a technical writing manager at Google. He studied computer science at the University of Waterloo and at the University of Toronto. In addition to a keen interest in deep learning with tabular data, Mark is interested in applications of large language models. Luca Massaron is a data scientist with more than a decade of experience in transforming data into smarter artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is the author of bestselling books on AI, machine learning, and algorithms.

Create stunning and effective WordPress websites with easy-to-use AI tools—no code required!Whether starting from scratch or improving an existing site, WordPress Power Toolkit gives you the skills to create professional sites powered by the limitless potential of artificial intelligence. You’ll learn to use AI for your content and visuals, and even help you build your own WordPress plugins and widgets. Inside WordPress Power Toolkit you’ll discover hands-on ways to: • Utilize AI to build new WordPress sites or improve existing ones • Understand how AI enhances all aspects of site content and design • Become an expert prompt engineer for communicating with AI • Generate HTML, CSS, plugins, and widgets with AI • Optimize multimedia, blogging, monetization, SEO, and more Plus, this all-practical guide is full of important information about the tasks AI still can’t do for you, from picking the right hosting service, to defining your site’s goals. The skills you learn for working with AI are universal—you can easily adapt them to get an AI assistant's expert help with almost any other task. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology WordPress is a powerful website builder that anyone can use. Now, AI systems like ChatGPT make it a snap to greatly improve the appearance and content of every site. These amazing AI assistants can even automatically refine your site’s design, edit your text, and increase the size of your audience. This book will help you use AI and WordPress to build the websites you’ve been dreaming of! About the book WordPress Power Toolkit shows you step-by-step how to design, build, deploy, and polish websites by mastering GPT, Midjourney, Gemini, Perplexity, Claude, and other powerful AI assistants. You’ll learn to write great prompts to get the best text and graphics, have AI generate CSS to perfect your site’s theme, use AI to enhance blog posts, and more! Along the way, you’ll learn hundreds of ways to use AI for any cognitive or creative activity. What's inside • Master AI prompting • Create professional site designs • Use AI to generate impressive content, page designs, HTML, CSS, plugins, and widgets • Have AI enhance your multimedia, search rank, and ecommerce success About the reader For WordPress users at any skill level. About the author Richard Mansfield is the bestselling author of more than 45 books on computing. He teaches three online WordPress certification courses. Table fo Contents 1 AI and WordPress dominate the internet 2 Starting a website 3 Site-building preliminaries 4 AI-powered writing 5 Adding functionality with plugins 6 AI-assisted site design basics 7 Advanced design techniques 8 Mastering multimedia 9 Using AI when interacting with your audience 10 Making money online 11 AI and search engine optimization 12 Building an audience with AI 13 Resources: Where to go from here Appendix: Setting things up

A practical introduction to data engineering on the powerful Snowflake cloud data platform.Data engineers create the pipelines that ingest raw data, transform it, and funnel it to the analysts and professionals who need it. The Snowflake cloud data platform provides a suite of productivity-focused tools and features that simplify building and maintaining data pipelines. In Snowflake Data Engineering, Snowflake Data Superhero Maja Ferle shows you how to get started. In Snowflake Data Engineering you will learn how to: *; Ingest data into Snowflake from both cloud and local file systems *; Transform data using functions, stored procedures, and SQL *; Orchestrate data pipelines with streams and tasks, and monitor their execution *; Use Snowpark to run Python code in your pipelines *; Deploy Snowflake objects and code using continuous integration principles *; Optimize performance and costs when ingesting data into Snowflake Snowflake Data Engineering reveals how Snowflake makes it easy to work with unstructured data, set up continuous ingestion with Snowpipe, and keep your data safe and secure with best-in-class data governance features. Along the way, you'll practice the most important data engineering tasks as you work through relevant hands-on examples. Throughout, author Maja Ferle shares design tips drawn from her years of experience to ensure your pipeline follows the best practices of software engineering, security, and data governance. Foreword by Joe Reis. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Pipelines that ingest and transform raw data are the lifeblood of business analytics, and data engineers rely on Snowflake to help them deliver those pipelines efficiently. Snowflake is a full-service cloud-based platform that handles everything from near-infinite storage, fast elastic compute services, inbuilt AI/ML capabilities like vector search, text-to-SQL, code generation, and more. This book gives you what you need to create effective data pipelines on the Snowflake platform. About the book Snowflake Data Engineering guides you skill-by-skill through accomplishing on-the-job data engineering tasks using Snowflake. You'll start by building your first simple pipeline and then expand it by adding increasingly powerful features, including data governance and security, adding CI/CD into your pipelines, and even augmenting data with generative AI. You'll be amazed how far you can go in just a few short chapters! What's inside *; Ingest data from the cloud, APIs, or Snowflake Marketplace *; Orchestrate data pipelines with streams and tasks *; Optimize performance and cost About the reader For software developers and data analysts. Readers should know the basics of SQL and the Cloud. About the author Maja Ferle is a Snowflake Subject Matter Expert and a Snowflake Data Superhero who holds the SnowPro Advanced Data Engineer and the SnowPro Advanced Data Analyst certifications. Table of Contents Part 1 1 Data engineering with Snowflake 2 Creating your first data pipeline Part 2 3 Best practices for data staging 4 Transforming data 5 Continuous data ingestion 6 Executing code natively with Snowpark 7 Augmenting data with outputs from large language models 8 Optimizing query performance 9 Controlling costs 10 Data governance and access control Part 3 11 Designing data pipelines 12 Ingesting data incrementally 13 Orchestrating data pipelines 14 Testing for data integrity and completeness 15 Data pipeline continuous integration

Learn the skills you need to be a lead developer, with expert advice on mentoring teams, handling clients and project managers, and keeping your head in emergencies.The Lead Developer Career Guide teaches you how to transition from an individual contributor to a thriving lead developer. It's packed with insider tips, tricks, and strategies drawn from author Shelley Benhoff's 25-year career in technology, providing vital insights for navigating the unique challenges and expectations of the lead developer role. This one-of-a-kind book demonstrates how critical thinking and communication skills can elevate your career. In the Lead Developer Career Guide you'll discover: • The key responsibilities of a lead developer • Techniques for writing effective technical documentation • Strategies for improving development processes • Best practices for communicating with non-technical clients • Methods for mentoring and inspiring a team • Approaches for delivering negative feedback constructively The Lead Developer Career Guide is filled with interviews and real-world case studies from industry professionals and esteemed tech experts. You'll learn how to become the public face for your development team, gathering feedback from your coworkers and communicating with clients and stakeholders. Plus, you'll find proven techniques to reliably calculate project estimates, plan a project from scratch, and mentor junior developers and peers alike. Foreword by Steve Buchanan. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology To be a successful Lead Developer you’ll need more than just technical expertise. You’ll be responsible for everything from facilitating architectural decisions that satisfy all stakeholders to mentoring your fellow developers. And you’ll be on the hook for delivering great software on time and under budget. Are you ready for the challenge? This book will help get you there! About the book The Lead Developer Career Guide provides the techniques and wisdom you need to transition from individual contributor to lead developer. You’ll learn how to collaborate effectively with executive leadership and project managers, present elegant solutions to clients, and think quickly in those inevitable emergencies. When all eyes are on you, this book will ensure you know exactly what to do. What's inside • Improving development processes • Mentoring and inspiring a team • Delivering negative feedback About the reader For aspiring lead developers. About the author Shelley Benhoff has over twenty-five years of experience in tech as a business owner, author, and speaker. The technical editor on this book was Stephen Mizell. Table of Contents 1 What is a lead developer? 2 Lead developer career trajectory 3 Learning lead developer skills 4 Learning any developer skill 5 Writing technical documentation 6 Optimizing the development process 7 Working with project teams 8 Speaking with clients 9 Being a mentor 10 Taking the lead 11 Leading with emotional intelligence 12 Being a successful lead developer

Deliver code reviews that consistently build up your team and improve your applications.“Looks Good to Me” offers a unique approach to delivering meaningful code reviews that goes beyond superficial checklists and tense critical conversations. Instead, you’ll learn how to improve both your applications and your team dynamics. “Looks Good to Me” teaches you how to: • Understand a code review's benefits proactively prevent loopholes and bottlenecks • Co-create an objective code review system • Clarify responsibilities: author, reviewer, team lead/manager, and the team itself • Establish manageable guidelines and protocols • Align with your team and explicitly document the policies they will follow • Automate code quality with linting, formatting, static analysis, and automated testing • Compose effective comments for any situation • Consider combining code reviews with pair programming or mob programming • AI for code reviews Inside “Looks Good to Me” you’ll find comprehensive coverage of every part of the code review process, from choosing a system to keeping reviews manageable for everyone involved. With this mix of tools, processes, common sense, and compassion, you’ll run a highly effective review process from first commit to final deployment. Foreword by Scott Hanselman. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Transform code reviews into the positive, productive experiences they’re meant to be! Whether it’s your code under the microscope or you’re the one giving the feedback, this sensible guide will help you avoid the tense debates, fruitless nitpicking, and unnecessary bottlenecks you’ve come to expect from code reviews. About the book “Looks Good to Me” teaches the considerate, common sense approach to code reviews pioneered by author Adrienne Braganza. You’ll learn how to create a cohesive team environment, align review goals and expectations clearly, and be prepared for any changes or obstacles you may face. Along the way, you’ll master practices that adapt to how your team does things, with multiple options and solutions, relatable scenarios, and personal tidbits. You’ll soon be running highly effective reviews that make your code—and your team—stronger. What's inside • Why we do code reviews • Automate processes for code quality • Write effective comments About the reader For any team member, from developer to lead. About the author Adrienne Braganza is an engineer, speaker, instructor, and author of the bestselling book Coding for Kids: Python. Table of Contents Part 1 1 The significance of code reviews 2 Dissecting the code review 3 Building your team’s first code review process Part 2 4 The Team Working Agreement 5 The advantages of automation 6 Composing effective code review comments Part 3 7 How code reviews can suck 8 Decreasing code review delays 9 Eliminating process loopholes 10 The Emergency Playbook Part 4 11 Code reviews and pair programming 12 Code reviews and mob programming 13 Code reviews and AI A Team Working Agreement starter template B Emergency Playbook starter template C PR templates D List of resources

All the mistakes you might make with SQL Serverand how to avoid them!100 SQL Server Mistakes and How To Avoid Them primes you on the pitfalls database professionals often fall intofrom administration to development, availability, and security. You'll dodge common mistakes that slow down your T-SQL code, and ensure your SQL server is installed and configured in a way that can handle anything your organization throws at it. Inside 100 SQL Server Mistakes and How To Avoid Them you'll learn to avoid: *; Development errors when writing T-SQL *; Installation and administration mistakes *; Optimization mistakes *; Common mistakes relating to HA/DR *; Security missteps that can endanger your data Are your T-SQL queries running slowly? Are you worried about your server's availability or bad actors trying to steal your data? Have you just been handed a new SQL Server Instance to administer and aren't quite sure what to do? Never fear! 100 SQL Server Mistakes and How To Avoid Them will make you into a SQL Server veteran without needing to make dozens of mistakes yourself. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book There's no ';happy path' in 100 SQL Server Mistakes and How To Avoid Them. The book focuses exclusively on the errors and screw-ups that you might (and probably will) make as an unprepared SQL Server admin or developer. Real-world issues taken from author Peter Carter's two decade long career in SQL Server fill each chapter. Peter's seasoned advice helps dispel myths, debunk misconceptions and set you on the right path with examples, expert guidance, useful code samples, and helpful diagrams. You'll learn how to write performant code, set coding standards, design database schemas, add error handling, and work with complex data types. Plus, learn how to select the right OS for your installation, optimize your SQL Server instances and databases, and avoid pitfalls relating to high availability, disaster recovery, and security. About the reader For junior database admins, full-stack developers, and ';accidental' DBAs who understand basic SQL Server concepts and can write simple SQL queries. About the author Peter Carter is a SQL Server expert with nearly two decades of experience in developing, administering, and architecting data-tier applications and SQL Server platforms. He also has many years of experience as a SQL Server trainer and author.

Automate your build, test, and deploy pipelines using GitHub Actions!Continuous delivery (CI/CD) pipelines help you automate the software development process and maximize your team’s efficiency. GitHub Actions in Action teaches you to build real-world build, test, and deploy pipelines in GitHub Actions through hands-on labs and projects. In GitHub Actions in Action you will learn how to: • Create and share GitHub Actions workflows • Automate CI/CD workloads and other GitHub tasks • Secure release pipelines with secrets, variables, and environments • Support compliance frameworks • Create safe and scalable self-hosted runners Written by three Microsoft MVPs and tech reviewed by a Staff DevOps Architect from GitHub, this book delivers the hardworking skills and advice you’ll need to be successful on the job. DevOps engineers will love GitHub Actions in Action’s coverage of reliable methods for Infrastructure-as-Code and automating cloud environments. You’ll follow an extended example application for selling tickets, taking it all the way from initial build to cloud deployment. Foreword by Scott Hanselman. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Believe it or not, CI/CD can be simple! With GitHub Actions, you can automate your entire dev process using just the tools built into GitHub—no external frameworks or complex integrations required. GitHub Actions is secure, reliable, and best of all, easy. This book will get you started. About the book GitHub Actions in Action teaches you how to build automated delivery pipelines in GitHub. You’ll start with simple examples that demonstrate workflow and action basics, and then you’ll dive into platform architecture, security, and workflow runtime details. As you go, you’ll build a full CI/CD pipeline, optimizing for compliance, performance, and costs. You’ll even create shareable actions for the GitHub marketplace. What's inside • Create and share GitHub Actions workflows • Automate testing and other GitHub tasks • Secure release pipelines with secrets, variables, and environments About the reader For developers and DevOps engineers comfortable with GitHub. About the author Michael Kaufmann is a Microsoft Regional Director and MVP. Rob Bos is an Azure and GitHub Trainer, a Microsoft MVP, a GitHub Star, and a LinkedIn Learning Instructor. Marcel de Vries is a CTO of Xebia Microsoft Services, Microsoft Regional Director, and MVP. The technical editor on this book was James Michael Gousset. Table of Contents Part 1 1 Introduction to GitHub Actions 2 Hands-on: My first Actions workflow 3 Workflows 4 GitHub Actions Part 2 5 Runners 6 Self-hosted runners 7 Managing your self-hosted runners Part 3 8 Continuous integration 9 Continuous delivery 10 Security 11 Compliance 12 Improving workflow performance and costs

Contract testing is a simple, reliable way to make sure that each service and API plays nice with other components so you can deploy independently and safely.In a microservices-first world, traditional testing struggles to keep up with all the potential interactions in a large, loosely-coupled system. Contract testing checks the compatibility of an API or service by validating it against an agreed contract. This straightforward method uncovers integration issues early and adds valuable transparency to compatibility expectations. In Contract Testing in Action you'll learn: *; The core concepts and practices of contract testing *; Testing microservices with Pact *; Consumer-driven and bi-directional testing *; Building a contract testing framework *; Converting API integration tests to contract tests Contract Testing in Action introduces the practice of contract testing through engaging hands-on examples. You'll learn how to introduce contract tests for multiple different types of communication, from REST APIs to GraphQL. By the end of this practical guide, you'll be comfortable with advanced contract testing concepts like can-i-deploy, provider states, and webhooks. You'll even get tips on how to introduce contract testing to your team and other business stakeholders. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book Contract Testing in Action is a hands-on guide to contract testing for microservices applications and other systems of loosely-coupled components. After learning the basics of contract design and implementation, you'll dive into constructing your own contract testing framework. You'll explore the leading contract testing tools, including Pact, PactFlow, and GitHub Actions. Plus, you'll set up consumer-driven contract testing for REST and GraphQL APIs and learn to integrate contract testing into a CI/CD pipeline. Finally, you'll delve into provider-driven contract testing, which simplifies adoption by utilizing your existing stack and practices. About the reader For experienced software developers and quality engineers who have worked with Java, JavaScript, and APIs. About the author Marie Cruz is a Software Tester with over 10 years of experience. Currently a Senior Developer Advocate for Grafana Labs, she has previously worked as an Engineering Manager responsible for driving continuous testing and quality improvements, and a Principal Engineer focused on introducing recommended practices for testing and test automation frameworks. Lewis Prescott is a Test Specialist at IBM. He has 9 years experience in software testing, is a recognized champion of Contract Testing and course author at Test Automation University, as well as an active mentor in the testing community.

Learn how to find the unusual, interesting, extreme, or inaccurate parts of your data.

Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library.The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. In Deep Learning with JAX you will learn how to: • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax • Leverage libraries and modules from the JAX ecosystem Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX’s concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You’ll learn how to use JAX’s ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Google’s JAX offers a fresh vision for deep learning. This powerful library gives you fine control over low level processes like gradient calculations, delivering fast and efficient model training and inference, especially on large datasets. JAX has transformed how research scientists approach deep learning. Now boasting a robust ecosystem of tools and libraries, JAX makes evolutionary computations, federated learning, and other performance-sensitive tasks approachable for all types of applications. About the book Deep Learning with JAX teaches you to build effective neural networks with JAX. In this example-rich book, you’ll discover how JAX’s unique features help you tackle important deep learning performance challenges, like distributing computations across a cluster of TPUs. You’ll put the library into action as you create an image classification tool, an image filter application, and other realistic projects. The nicely-annotated code listings demonstrate how JAX’s functional programming mindset improves composability and parallelization. What's inside • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax About the reader For intermediate Python programmers who are familiar with deep learning. About the author Grigory Sapunov holds a Ph.D. in artificial intelligence and is a Google Developer Expert in Machine Learning. The technical editor on this book was Nicholas McGreivy. Table of Contents Part 1 1 When and why to use JAX 2 Your first program in JAX Part 2 3 Working with arrays 4 Calculating gradients 5 Compiling your code 6 Vectorizing your code 7 Parallelizing your computations 8 Using tensor sharding 9 Random numbers in JAX 10 Working with pytrees Part 3 11 Higher-level neural network libraries 12 Other members of the JAX ecosystem A Installing JAX B Using Google Colab C Using Google Cloud TPUs D Experimental parallelization

Improve speed, quality, AND cost by automating your API delivery process!Automating API Delivery shows you how to strike the perfect balance between speed and usability by applying DevOps automation principles to your API design and delivery process. It lays out a clear path to making both the organizational and technical changes you need to deliver high-quality APIs both rapidly and reliably. In Automating API Delivery you’ll learn how to: Enforce API design standards with linting Automate breaking-change checks to control design creep Ensure accuracy of API reference documents Centralize API definition consistency checks Automate API configuration deployment Conduct effective API design reviews Author Ikenna Nwaiwu provides comprehensive guidance on implementing APIOps in your organization. He carefully walks through the technical steps and introduces the essential open-source tools, with practical advice and insights from his years of experience. You’ll benefit from his personal tips for avoiding common pitfalls and challenges of moving to automated API delivery. Foreword by Melissa van der Hecht. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Create high quality, consistent, and fast-to-market APIs by automating the development process! This innovative book shows you how to apply established Continuous Delivery and DevOps principles along the whole API lifecycle, transforming a collection of individual tasks into a smooth, manageable pipeline that supports automated testing, iterative improvement, and reliable documentation. About the book Automating API Delivery introduces the tools and strategies behind APIOps. You’ll discover tools and process improvements that give you important quick wins, including API governance using the Spectral API linter and establishing an efficient CI/CD pipeline with GitHub Actions. You’ll even discover how to use the powerful OpenAPI Generator to automatically create client and server code from your API definitions. What's inside Check for breaking changes with oasdiff Create SDKs using OpenAPI Generator Maintain accurate documentation with API conformance tests Deploy API gateway configuration with GitOps About the reader Experience building RESTful APIs required. About the author Ikenna Nwaiwu is Principal Consultant at Ikenna Consulting, specializing in automating API governance. The technical editor on this book was Marjukka Niinioja. Table of Contents 1 What is APIOps? 2 Leaning into APIOps: Problem-solving and leading improvements 3 API linting: Automating API consistency 4 Breaking change checks: Managing API evolution 5 API design review: Checking for what you cannot automate 6 API conformance: Generating code and API definitions 7 API conformance: Schema testing 8 CI/CD for API artifacts 1: Source-stage governance controls 9 CI/CD for API artifacts 2: Build-stage and API configuration deployment 10 More on API consistency: Custom linting and security checks 11 Monitoring and analytics: Measuring API product metrics Appendixes A Value stream mapping icons B Installing API linting and OpenAPI diff tools C Introduction to JSON Pointer D Tools for API conformance and analytics E Docker and Kubernetes

Essential advice for anyone aspiring to start up a technology company, based on decades of business experience.In Tech Startup Toolkit, you’ll discover the good, the bad, and the ugly of succeeding with a tech startup. Author Jothy Rosenberg reveals the insights he’s learned from an entrepreneurial career that’s seen both $100 million sales, dramatic failures, and everything in between. Tech Startup Toolkit gives you concrete, actionable advice on how to: • Succeed as a first-time CEO • Pitch and raise money from various types of investors • Develop a go-to-market strategy • Create a strong positive culture • Understand what makes a VC tick • Write an elevator pitch • Understand investment deal terms • Hone and align teams • Effectively downsize or wind down a company • Position a company to be acquired In Tech Startup Toolkit Jothy tells stories from his incredible career that will give guidance and inspiration to anyone who’s ever thought of creating or running a company. Every personal story teaches a vital lesson for any would-be startup founder, ensuring you avoid the pitfalls that end less-prepared companies. Foreword by Vivjan Myrto. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Why do eight out of ten tech startups fail? Is it inevitable? In Tech Startup Toolkit, nine-time tech startup founder Jothy Rosenberg tells you how to beat the odds. Part memoir and part survival guide, this book delivers battle-tested, unvarnished advice on capital, culture, boards, marketing, and management. About the book Tech Startup Toolkit covers everything a new founder needs to ensure a great idea can become a stable tech company that’s ripe for acquisition. In 31 short anecdotes from Jothy’s extensive experience, you’ll learn how to pitch investors, develop a go-to-market strategy, and build the leadership skills that really matter for a great startup CEO. And since forewarned is forearmed, you’ll also find strategies to handle challenges like funding loss, competition, and unpredictable crises like Covid-19 that break lesser startups. What's inside • Succeed as a first-time CEO • Create a strong positive culture • Understand what makes a VC tick • Position a company to be acquired About the reader For prospective founders, early-stage teams, and anyone interested in tech entrepreneurship. About the author Jothy Rosenberg has been an incorrigible entrepreneur since 1988. Formerly the VP of Borland’s developer division, Jothy has founded and run nine technology startups, two of which had $100 million exits. Table of Contents PART 1 1 Scratching the startup itch: How I became an incorrigible entrepreneur 2 What makes you think you are CEO material? 3 A venture-backed turnaround: A dangerous place to be 4 The founding team. Who’s in and who’s not? PART 2 5 Friends and family, angels, venture capital, or strategic? 6 Angels: Your bridge financing solution 7 The art of pitching to institutional investors 8 Investors aren’t your friends 9 Understand the VC business model. Raise money faster 10 Seed: The first priced round 11 Term sheets: An institutional investor wants to invest in you 12 Due Diligence: An exam you must pass PART 3 13 Your business model. The beating heart of your business 14 Getting to a minimum viable product with lighthouse customers 15 Product-Market Fit. Making sure the dogs will eat your dog food 16 Go-to-Market: How to make your business viable and grow 17 A formal business plan in ten steps 18 Burn rate and runway—or where is the edge of that cliff? 19 Achieving cash-flow positive: A startup’s Holy Grail 20 Your startup’s valuation: Up, up, up (hopefully) PART 4 21 Hire slowly—and correctly 22 Beyond foosball: Crafting a positive culture that retains your team 23 Does a startup need both a CEO and COO? 24 Marketing: Too often a startup’s afterthought 25 The right character for sales leader—and when to hire them PART 5 26 Startup boards: The good, (and how to prevent) the bad, and the ugly 27 Board observers: Observe only please 28 Investor communications. They needn’t be cod liver oil 29 Heaven forbid if you must downsize 30 Heaven forbid if you must wind it up 31 Acquisition: Your financial dream come true Appendix

Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data visualization toolkit.Take the fast track to amazing data presentations! Data Storytelling with Altair and AI introduces a stack of useful tools and tried-and-tested methodologies that will rapidly increase your productivity, streamline the visualization process, and leave your audience inspired. In Data Storytelling with Altair and AI you’ll discover: • Using Python Altair for data visualization • Using Generative AI tools for data storytelling • The main concepts of data storytelling • Building data stories with the DIKW pyramid approach • Transforming raw data into a data story Data Storytelling with Altair and AI teaches you how to turn raw data into effective, insightful data stories. You’ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentations—and you’ll love how quick Generative AI makes the whole process! Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Every dataset tells a story. After you’ve cleaned, crunched, and organized the raw data, it’s your job to share its story in a way that connects with your audience. Python’s Altair data visualization library, combined with generative AI tools like Copilot and ChatGPT, provide an amazing toolbox for transforming numbers, code, text, and graphics into intuitive data presentations. About the book Data Storytelling with Altair and AI teaches you how to build enhanced data visualizations using these tools. The book uses hands-on examples to build powerful narratives that can inform, inspire, and motivate. It covers the Altair data visualization library, along with AI techniques like generating text with ChatGPT, creating images with DALL-E, and Python coding with Copilot. You’ll learn by practicing with each interesting data story, from tourist arrivals in Portugal to population growth in the USA to fake news, salmon aquaculture, and more. What's inside • The Data-Information-Knowledge-Wisdom (DIKW) pyramid • Publish data stories using Streamlit, Tableau, and Comet • Vega and Vega-Lite visualization grammar About the reader For data analysts and data scientists experienced with Python. No previous knowledge of Altair or Generative AI required. About the author Angelica Lo Duca is a researcher at the Institute of Informatics and Telematics of the National Research Council, Italy. The technical editor on this book was Ninoslav Cerkez. Table of Contents PART 1 1 Introducing data storytelling 2 Running your first data story in Altair and GitHub Copilot 3 Reviewing the basic concepts of Altair 4 Generative AI tools for data storytelling PART 2 5 Crafting a data story using the DIKW pyramid 6 From data to information: Extracting insights 7 From information to knowledge: Building textual context 8 From information to knowledge: Building the visual context 9 From knowledge to wisdom: Adding next steps PART 3 10 Common issues while using generative AI 11 Publishing the data story A Technical requirements B Python pandas DataFrameC Other chart types

To create web designs that delight, entertain, and impress your users, you need to know CSS in depth!Getting good—really good—at CSS means learning everything that CSS is capable of. This totally revised new edition of CSS in Depth expands your CSS skills with the patterns, layouts, and methods you need to deliver truly beautiful front ends. In CSS in Depth, Second Edition you will learn how to:• Create a web page with layout methods • Develop essential website components, like dropdown menus and dialog boxes • Make your website fully responsive across devices • Organize your CSS for easy future maintenance • Implement designer mockups with attention to detail • Use animations to guide user focus • Avoid common CSS pitfalls The more you know about CSS, the more confident you’ll be at tackling any tricky website design! CSS in Depth has given thousands of web developers the tools and the inspiration to make sites that really pop. This second edition is packed with the latest best practices, new CSS language features, and essential advice on how to organize and maintain your CSS codebase. Foreword by Chris Coyier. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology To deliver truly beautiful frontends, you need to know CSS inside and out. And as CSS grows and matures, even experienced CSS developers will find a whole new set of skills to catch up on! This guide will help you discover everything that CSS is capable of—from the must-knows and brand-new features to the hidden insights you won’t find anywhere else! About the book CSS in Depth, Second Edition, deep dives into the CSS techniques used by the world’s most skilled web developers. Inside, you’ll learn how to build and organize a modular CSS codebase that’s easy to understand, maintain, and reuse. This new edition is fully revised to cover the CSS standard’s latest additions, including cascade layers, logical properties, new color functions, subgrid, and container queries. What's inside• Vertical centering, margin collapsing, and positioning • Dropdown menus and modal dialog boxes • Animations to guide user focus • Avoiding common CSS pitfalls About the reader Written for web developers who know the basics of CSS and HTML. About the author Keith J. Grant is a Principal Software Engineer at Red Hat, where he works on front-end code for the Ansible Controller web application using JavaScript and CSS. The technical editor on this book was Chris Chinchilla. Table of Contents PART 1 1 Cascade, specificity, and inheritance 2 Working with relative units 3 Document flow and the box model PART 2 4 Flexbox 5 Grid layout 6 Positioning and stacking contexts 7 Responsive design PART 3 8 Cascade layers and nesting 9 Modular CSS and scope 10 Container queries PART 4 11 Color and contrast 12 Typography and spacing 13 Gradients, shadows, and blend modes 14 Masks, shapes, and clipping PART 5 15 Transitions 16 Transforms 17 Animations APPENDIXES A Selectors reference B Preprocessors

Tips, tricks, design patterns, and secret features of Rust that will help you build stable and maintainable applications.Whether you’re a Rust beginner or a pro, Idiomatic Rust will teach you to be a better Rust programmer. It introduces essential design patterns for Rust software with detailed explanations, and code samples that encourage you to get stuck in. In Idiomatic Rust you’ll learn how to apply important design patterns including: • Fluent interfaces for creating delightful APIs • The Builder pattern to encapsulate data and perform initialization • Immutable data structures that help you avoid hard-to-debug data race conditions • Functional programming patterns • Anti-patterns and what not to do in Rust Idiomatic Rust catalogs, documents, and describes both how classic design patterns work with Rust, and the new Rust-specific patterns that will help you master the language. Each pattern or best practice helps solve common programming problems and ensure your code is easy for others to understand. You’ll learn when to use each pattern—and when to break it! You’ll soon be producing higher-quality Rust code and higher-quality Rust software. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications About the technology After you’re comfortable with Rust’s syntax and its uniquely-powerful compiler, there’s a whole new dimension to explore as you put it to use in real projects. How do you apply standard design patterns in Rust applications? Where and why should you use IntoIterator? Why do Rustaceans love the PhantomData type? This book answers these questions and many, many more. About the book Idiomatic Rust introduces the coding and design patterns you’ll need to take advantage of Rust’s unique language design. This book’s clear explanations and reusable code examples help you explore metaprogramming, build your own libraries, create fluent interfaces, and more. Along the way, you’ll learn how to write efficient, idiomatic Rust code that’s easy to maintain and evolve as you learn how the language works under the hood. What's inside • Creating delightful APIs • Applying Builder and other classic design patterns • Functional programming patterns • Rust anti-patterns About the reader For intermediate Rust programmers. About the author Brenden Matthews is a member of the Apache Software Foundation, creator of the system monitor Conky, and author of Code Like a Pro in Rust. The technical editor on this book was Alain M Couniot. Table of Contents PART 1 1 Rust-y patterns 2 Rust’s basic building blocks 3 Code flow PART 2 4 Introductory patterns 5 Design patterns: Beyond the basics 6 Designing a library PART 3 7 Using traits, generics, and structs for specialized tasks 8 State machines, coroutines, macros, and preludes PART 4 9 Immutability 10 Antipatterns A Installing Rust

Build, maintain, and run databases that are easy to scale and quick to query—all with ScyllaDB.ScyllaDB in Action is your guide to everything you need to know about ScyllaDB, from your very first queries to running it in a production environment. It starts you with the basics of creating, reading, and deleting data and expands your knowledge from there. You’ll soon have mastered everything you need to build, maintain, and run an effective and efficient database. Inside ScyllaDB in Action you’ll learn how to: • Read, write, and delete data in ScyllaDB • Design database schemas for ScyllaDB • Write performant queries against ScyllaDB • Connect and query a ScyllaDB cluster from an application • Configure, monitor, and operate ScyllaDB in production This book teaches you ScyllaDB the best way—through hands-on examples. Dive into the node-based architecture of ScyllaDB to understand how its distributed systems work, how you can troubleshoot problems, and how you can constantly improve performance. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book ScyllaDB in Action demonstrates how to integrate ScyllaDB into data-intensive applications. You’ll work through a hands-on project step by step as you use ScyllaDB to store data and learn to configure, monitor, and safely operate a distributed database. Along the way, you’ll discover how ScyllaDB’s unique “shard per core” approach helps you deliver impressive performance in real-time systems. About the reader For backend and infrastructure engineers who know the basics of SQL. About the author Bo Ingram is a staff software engineer at Discord working in database infrastructure. He has extensive experience working with ScyllaDB as an operator and developer. The technical editor on this book was Piotr Wiktor Sarna.

A guide to the advanced React skills used by the very best React developers.React in Depth teaches the React libraries, tools and techniques that are vital to build amazing apps. You’ll put each skill you learn into practice with hands-on projects like a goal-focused task manager, expenses tracker, and custom UI library. In React in Depth you will learn how to:• Assess technologies in the React ecosystem • Implement advanced component patterns to improve React code • Optimize React performance for a smooth user experience • Use developer tooling for better code maintenance and debugging • Work with TypeScript for type safety • Use CSS in JavaScript for efficient styling • Manage data in React, including remote data and reactive caching • Unit test React components for quality assurance and bug prevention • Use popular React frameworks for building production-ready applications React in Depth focuses on the modern best practices of React development, with full and up-to-date coverage of the latest features and changes to the React ecosystem. This book highlights the advanced techniques that turn a React pro into a React wizard, and how you can future-proof your career by mastering new React technologies as they emerge. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology What does knowing React in depth mean? It means writing clean, modular code that you can test and refactor. It means applying design patterns and architectural principles to real-world problems. It means collaborating effectively with other developers and harnessing the power of React’s rich ecosystem. That’s exactly what this book delivers! About the book React in Depth teaches you the best practices of React development, with up-to-date coverage of the React ecosystem. In it, you’ll learn how to put NextJS, Remix, TypeScript, and more in your React toolbox. You’ll explore advanced topics like component patterns, optimization techniques, and developer tooling. Along the way, you’ll collect pro tips for creating applications that can scale without sacrificing performance or stability. Each skill is proven with hands-on examples, from a weather app to a Wordle clone. What's inside • Optimize React performance • Use CSS in JavaScript • Manage data in React • Unit test React components About the reader For web developers familiar with the basics of React. About the author Morten Barklund works as a staff fullstack engineer at Corti, a leading AI healthtech startup. Table of Contents 1 Developer’s guide to the React Ecosystem 2 Advanced component patterns 3 Optimizing React performance 4 Better code maintenance with developer tooling 5 TypeScript: Next-level JavaScript 6 Mastering TypeScript with React 7 CSS in JavaScript 8 Data management in React 9 Remote data and reactive caching 10 Unit-testing React 11 React website frameworks 12 Project: Build an expense tracker with Remix 13 Project: Create a React UI library 14 Project: Develop a word game in React

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.