Open source software, in which developers publish code that anyone can use, has long served as a bellwether for other online behavior. In the late 1990s, it provided an optimistic model for public collaboration, but in the last 20 years it's shifted to solo operators who write and publish code that's consumed by millions.

In Working in Public, Nadia Eghbal takes an inside look at modern open source software development, its evolution over the last two decades, and its ramifications for an internet reorienting itself around individual creators. Eghbal, who interviewed hundreds of developers while working to improve their experience at GitHub, argues that modern open source offers us a model through which to understand the challenges faced by online creators. She examines the trajectory of open source projects, including:

• The GitHub platform for hosting and development
• The structures, roles, incentives, and relationships involved in open source projects
• The often-overlooked maintenance required of its creators
• The costs of production that endure through an application's lifetime.

Eghbal also scrutinizes the role of platforms like Twitter, Facebook, Twitch, YouTube, and Instagram, which reduce infrastructure and distribution costs for creators but which massively increase the scope of interactions with their audience.

Open source communities are increasingly centered around the work of individual developers rather than teams. Similarly, if creators, rather than discrete communities, are going to become the epicenter of our online social systems, we need to better understand how they work--and we can do so by studying what happened to open source.

A right-to-the-point guide on all the key topics of SQL programming

SQL Essentials For Dummies is your quick reference to all the core concepts of SQL--a valuable common standard language used in relational databases. This useful guide is straightforward--with no excess review, wordy explanations, or fluff--so you get what you need, fast. Great for a brush-up on the basics or as an everyday desk reference, this book is one you can rely on.

• Strengthen your understanding of the basics of SQL
• Review what you've already learned or pick up key skills
• Use SQL to create, manipulate, and control relational databases
• Jog your memory on the essentials as you work and get clear answers to your questions

Perfect for supplementing classroom learning, reviewing for a certification, and staying knowledgeable on the job, SQL Essentials For Dummies is the convenient, direct, and digestible reference you've been looking for.

Rust has been repeatedly voted Most Loved Language on the StackOverflow Developer Survey.

The Rust Programming Language, 2nd Edition is the official guide to Rust 2021: an open source systems programming language that will help you write faster, more reliable software. Rust provides control of low-level details along with high-level ergonomics, allowing you to improve productivity and eliminate the hassle traditionally associated with low-level languages.

Klabnik and Nichols, alumni of the Rust Core Team, share their knowledge to help you get the most out of Rust's features so that you can create robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables, then move on to more advanced concepts, such as:

• Ownership and borrowing, lifetimes, generics, traits, and trait objects to communicate your program's constraints to the compiler
• Smart pointers and multithreading, and how ownership interacts with them to enable fearless concurrency
• How to use Cargo, Rust's built-in package manager, to build, document your code, and manage dependencies
• The best ways to test, handle errors, refactor, and take advantage of expressive pattern matching

What if you could re-create the awe-inspiring flocking patterns of birds or the hypnotic dance of fireflies--with code? For over a decade, The Nature of Code has empowered countless readers to do just that, bridging the gap between creative expression and programming. This innovative guide by Daniel Shiffman, creator of the beloved Coding Train, welcomes budding and seasoned programmers alike into a world where code meets playful creativity.

This JavaScript-based edition of Shiffman's groundbreaking work gently unfolds the mysteries of the natural world, turning complex topics like genetic algorithms, physics-based simulations, and neural networks into accessible and visually stunning creations.

Embark on this extraordinary adventure with projects involving:

• A physics engine Simulate the push and pull of gravitational attraction.
• Flocking birds Choreograph the mesmerizing dance of a flock.
• Branching trees Grow lifelike and organic tree structures.
• Neural networks Craft intelligent systems that learn and adapt.
• Cellular automata Uncover the magic of self-organizing patterns.
• Evolutionary algorithms Play witness to natural selection in your code.

Whether you're deciphering the elegant patterns of natural phenomena or crafting your own digital ecosystems, Shiffman's guidance is sure to inform and inspire. The Nature of Code is not just about coding; it's about looking at the natural world in a new way and letting its wonders inspire your next creation. Dive in and discover the joy of turning code into art--all while mastering coding fundamentals along the way.

NOTE: All examples are written with p5.js, a JavaScript library for creative coding, and are available on the book's website.

This reference manual is 103 pages long. The reference manual is the official definition of the Lua language.
For a complete introduction to Lua programming, see the book Programming in Lua by Roberto Ierusalimschy.

Lua is a powerful, fast, lightweight, embeddable scripting language. Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically-typed, runs by interpreting bytecode for a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping.

For developers who've mastered the basics, this book is the next step on your way to professional-level programming in Rust. It covers everything you need to build and maintain larger code bases, write powerful and flexible applications and libraries, and confidently expand the scope and complexity of your projects.

Author Jon Gjengset takes you deep into the Rust programming language, dissecting core topics like ownership, traits, concurrency, and unsafe code. You'll explore key concepts like type layout and trait coherence, delve into the inner workings of concurrent programming and asynchrony with async/await, and take a tour of the world of no_std programming. Gjengset also provides expert guidance on API design, testing strategies, and error handling, and will help develop your understanding of foreign function interfaces, object safety, procedural macros, and much more.

You'll Learn:

Explore modern Android development in Kotlin 1.6.10 with this condensed hands-on guide to building reliable apps using libraries such as Compose, ViewModel, Hilt, Retrofit, Flow, and more

Key Features:

• Explore Jetpack libraries and other modern technologies for Android development
• Improve the architectural design of your Android apps
• Enhance the quality of your Android projects' code bases and applications using the latest libraries

Book Description:

With Jetpack libraries, you can build and design high-quality, robust Android apps that have an improved architecture and work consistently across different versions and devices. This book will help you understand how Jetpack allows developers to follow best practices and architectural patterns when building Android apps while also eliminating boilerplate code.

Developers working with Android and Kotlin will be able to put their knowledge to work with this condensed practical guide to building apps with the most popular Jetpack libraries, including Jetpack Compose, ViewModel, Hilt, Room, Paging, Lifecycle, and Navigation. You'll get to grips with relevant libraries and architectural patterns, including popular libraries in the Android ecosystem such as Retrofit, Coroutines, and Flow while building modern applications with real-world data.

By the end of this Android app development book, you'll have learned how to leverage Jetpack libraries and your knowledge of architectural concepts for building, designing, and testing robust Android applications for various use cases.

What You Will Learn:

• Integrate popular Jetpack libraries such as Compose, ViewModel, Hilt, and Navigation into real Android apps with Kotlin
• Apply modern app architecture concepts such as MVVM, dependency injection, and clean architecture
• Explore Android libraries such as Retrofit, Coroutines, and Flow
• Integrate Compose with the rest of the Jetpack libraries or other popular Android libraries
• Work with other Jetpack libraries such as Paging and Room while integrating a real REST API that supports pagination
• Test Compose UI and the application logic through unit tests

Who this book is for:

This book is for junior and intermediate-level Android developers looking to level up their Android development skills to develop high-quality apps using Jetpack libraries and other cutting-edge technologies. Beginners with knowledge of Android development fundamentals will also find this book useful. Familiarity with Kotlin is assumed.

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.

The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ ve learned, and concludes with exercises, most of which involve writing R code.

• Write a simple R program, and discover what the language can do
• Use data types such as vectors, arrays, lists, data frames, and strings
• Execute code conditionally or repeatedly with branches and loops
• Apply R add-on packages, and package your own work for others
• Learn how to clean data you import from a variety of sources
• Understand data through visualization and summary statistics
• Use statistical models to pass quantitative judgments about data and make predictions
• Learn what to do when things go wrong while writing data analysis code

After a chapter explaining the most important Unix basics, you will start with a vanilla server as delivered by a hosting provider and by the end of the book, you will have a fully functional and well-secured enterprise class internet server. You will also be equipped with the expertise needed to keep your server secured and up to date. All configuration examples are given for FreeBSD, Debian and CentOS, so you are free to choose your operating system.

No single blueprint exists for an internet server, and an important part of the work of a system administrator consists of analyzing, interpreting and implementing specific wishes, demands and restrictions from different departmentsand viewpoints within an organization. Practical Internet Server Configuration provides the information you need to succeed as a sysadmin.

What You'll Learn

• Configure DNS using Bind 9
• Set up Apache and Nginx
• Customize a mail server: IMAP (Dovecot) and SMTP (Postfix), spam filtering included
• Authenticate mail users using LDAP
• Install and maintain MariaDB and PostgreSQL databases
• Prepare SSL/TLS certificates for the encryption of web, mail and LDAP traffic
• Synchronize files, calendars and address books between devices
• Build a firewall: PF for FreeBSD and nftables for Linux

Who This Book Is For

This book can be used by aspiring and beginning system administrators who are working on personal servers, or more experienced system administrators who may know Unix well but need a reference book for the more specialized work that falls outside the daily routine. Basic understanding of Unix and working on the command line is necessary.

Learn the fundamentals of version control through step-by-step tutorials that will teach you the ins-and-outs of Git. This updated version introduces Github workflows, and contains new chapters on how to make Git and GitHub truly yours, covers additional common problems and how to solve them, along with new features of Github pull requests.

Divided into three parts - Version Control, Project Management and Teamwork - this book reveals what waits for you in the real world and how to resolve the problems you may run into. Once past the basics of Git, you'll see how to manage a software project, and finally how to utilize Git and GithHub to work effectively as a team. You'll examine how to plan, follow and execute a project with GitHub, and then apply those concepts to real-world situations. Workaround the pitfalls that most programmers fall into when driving a project with Git by using proven tactics to avoid them. You will also be taught the easiest and quickest ways to resolve merge conflicts.

A lot of modern books on Git don't go into depth about non-technical topics. Beginning Git and GitHub is your complete guide to how Git and GitHub work in a professional team environment and will help you cover all the bases right at the start of your career.

What You'll Learn

Who This book Is For

New developers, developers that have never worked in a team environment before, developers with basic knowledge of Git or GitHub, or anyone who works with text documents.

Start transforming your data-driven marketing strategies and increasing customer engagement. Learn how to create compelling marketing content using advanced gen AI techniques and stay in touch with the future AI ML landscape.

Purchase of the print or Kindle book includes a free eBook in PDF format

Key Features:

- Enhance customer engagement and personalization through predictive analytics and advanced segmentation techniques

- Combine Python programming with the latest advancements in generative AI to create marketing content and address real-world marketing challenges

- Understand cutting-edge AI concepts and their responsible use in marketing

Book Description:

In the dynamic world of marketing, the integration of artificial intelligence (AI) and machine learning (ML) is no longer just an advantage-it's a necessity. Moreover, the rise of generative AI (gen AI ) helps the creation of highly personalized, engaging content that resonates with the target audience

This book provides a comprehensive toolkit for harnessing the power of gen AI to craft marketing strategies that not only predict customer behaviors but also captivate and convert, leading to improved cost per acquisition, boosted conversion rates, and increased net sales

Starting with the basics of Python for data analysis and progressing to sophisticated ML and gen AI models, this book is your comprehensive guide to understanding and applying AI to enhance marketing strategies. Through engaging content and hands-on examples, you'll learn to harness the capabilities of AI to unlock deep insights into customer behaviors, craft personalized marketing messages, and drive significant business growth. Additionally, you'll explore the ethical implications of AI, ensuring that your marketing strategies are not only effective but also responsible and compliant with current standards

By the conclusion of this book, you'll be equipped to design, launch, a nd manage marketing campaigns that are not just successful but also cutting-edge.

What You Will Learn:

- Master key marketing KPIs with advanced computational techniques

- Use explanatory data analysis to drive marketing decisions

- Leverage ML models to predict customer behaviors, engagement levels, and customer lifetime value

- Enhance customer segmentation with ML and develop highly personalized marketing campaigns

- Design and execute effective A/B tests to optimize your marketing decisions

- Apply natural language processing (NLP) to analyze customer feedback and sentiments

- Integrate ethical AI practices to maintain privacy in data-driven marketing strategies

Who this book is for:

This book targets a diverse group of professionals:

- Data scientists and analysts in the marketing domain looking to apply advanced AI ML techniques to solve real-world marketing challenges

- Machine learning engineers and software developers aiming to build or integrate AI-driven tools and applications for marketing purposes

- Marketing professionals, business leaders, and entrepreneurs who must understand the impact of AI on marketing

- Reader are presumed to have a foundational proficiency in Python and a basic to intermediate grasp of ML principles and data science methodologies

Table of Contents

- The Evolution of Marketing in the AI Era & Preparing Your Toolkit

- Decoding Marketing Performance with KPIs

- Unveiling the Dynamics of Marketing Success

- Harnessing Seasonality and Trends for Strategic Planning

- Enhancing Customer Insight with Sentiment Analysis

- Leveraging Predictive Analytics and A/B Testing for Customer Engagement

(N.B. Please use the Read Sample option to see further chapters)

Discover how the R programming language can transform your GIS journey, enabling you to create maps, analyze spatial data, and unlock advanced geospatial insights-no prior experience needed!

This book introduces the scripting language R and how to use it as a GIS for managing, displaying, symbolizing, and analyzing spatial data. While R started as a statistics tool, it now rivals software like QGIS or ArcGIS Pro, offering spatial analysis and map creation.

We'll cover the basics of GIS and R, as well as advanced visualization and analysis techniques. No prior GIS or scripting experience is required, making this book ideal for beginners or those transitioning from desktop GIS to a script-based approach. Benefits of scripting include reusable code and easier knowledge sharing, such as sharing research project workflows.

• Part 1: What is GIS & Spatial Data? - Essential GIS theory for success.
• Part 2: Spatial Data - Advanced maps using raster and vector data.
• Part 3: Advanced Concepts - Loops for repetitive tasks and data wrangling in R.
• Part 4: Project Management - File management, version control, R projects, and markdown workflows.
• Part 5: Next Steps - Tips for finding spatial data, progressing with R, and accessing help online.

Designed for those new to R or scripting, this book assumes no prior knowledge. Familiarity with GIS (e.g., QGIS or ArcGIS) helps but isn't required-we'll explain the key terms and concepts you need.

Spring Boot helps developers create applications that simply run. When minimal configuration is required to start up an application, even novice Java developers are ready to start. But this simplicity shouldn't constrain developers in addressing more complex enterprise requirements where microservice architecture is concerned. With the need to rapidly deploy, patch, or scale applications, containers provide solutions which can accelerate development, testing as well as production cycles. The cloud helps companies to scale and adapt at speed, accelerate innovation and drive business agility, without heavy upfront IT investment. What if we can equip even a novice developer with all that is required to help enterprises achieve all of this, this book does this and more.

Java Microservices and Containers in the Cloud offers a comprehensive guide to both architecture and programming aspects to Java microservices development, providing a fully hands-on experience. We not only describe various architecture patterns but also provide practical implementations of each pattern through code examples. Despite the focus on architecture, this book is designed to be accessible to novice developers with only basic programming skills, such as writing a Hello World program and using Maven to compile and run Java code. It ensures that even such readers can easily comprehend, deploy, and execute the code samples provided in the book. Regardless of your current knowledge or lack thereof in Docker, Kubernetes, and Cloud technologies, this book will empower you to develop programming skills in these areas.

There is no restriction on beginners attempting to understand serious and non-trivial architecture constraints. While mastering concurrency and scalability techniques often requires years of experience, this book promises to empower you to write microservices, as well as how to containerize and deploy them in the cloud. If you are a non-programming manager who is not afraid to read code snippets, this book will empower you to navigate the challenges posed by seasoned architects. It will equip you with the necessary understanding of specialized jargon, enabling you to engage in more meaningful discussions and break through barriers when collaborating with programmers, architects and engineers across the table.

The code examples provided in the book are intentionally designed to be simple and accessible to all, regardless of your programming background. Even if you are a C# or Python programmer and not familiar with Java, you will find the code examples easy to follow and understand.

You will

• Acquire proficiency in both RPC-style and Messaging-style inter-microservice communication
• Construct microservices utilizing a combination of SQL (PostgreSQL) and NoSQL (MongoDB) databases
• Leverage Liquibase, a database schema version control tool, and administer UI in conjunction with PostgreSQL
• Leverage both GraphQL and conventional REST approaches side by side
• Gain practical experience in implementing Hexagonal and Onion Architectures through hands-on exercises
• Integrate asynchronous processing into your Java applications using powerful APIs such as DeferredResult and CompletableFuture

Who it's for:

Developers, programmers and Architects who want to level up their Java Micoservices and Archtecture knowledge as well as managers who want to brush up on their technical knowledge around the topic.

One trait that defines great technologists is their ability to make their tools work for them by adapting the tools to their unique styles and needs. This book will help you do just that by using the shell. Investing a few hours in learning the command line techniques in Effective Shell will have a huge impact on your productivity. It will also make your work more fun. The shell's simple text-based interface lets you maintain a state of creative flow, free from the distractions of a graphical environment.

This isn't a book on shell scripting or Linux administration. Each chapter presents a stand-alone set of techniques to help you work more efficiently, understand your system better, and tailor your environment to your individual workflow. This book doesn't ask you to totally change the way you work or drop your current tooling. Instead, it brings together a set of skills that you can add to your toolkit and incorporate as you like.

The author focuses on the essentials that allow you to immediately apply the new skill rather than describing every possible feature. The goal is for you to be able to pick up the book, read a chapter over coffee, and try out what you've learned right away.

Explore the latest version of Laravel and its ecosystem, including Laravel Nova, Telescope, Horizon, and Vapor. This book completes the App development trinity - Backend, Website, and Mobile Apps. As a bonus, you'll learn to build Desktop Apps for Windows, MacOS and Linux using NativePHP.

You'll start by reviewing the Laravel ecosystem and then move on to building some real-world applications. These applications are production-ready using Laravel's best practices and modern frontend frameworks like React and Vue.js. The first app is a modular CMS (PickleCMS), along with a website that consumes the content. Next, you'll build an eCommerce mobile app (Commercify) using Laravel. Finally, you'll build a Travel App (TripoNama).

Along the way, you'll study related topics that apply to your applications, including search with Laravel Scout, generating PDFs, logging, browser automation with Dusk, consuming and building REST and GraphQL APIs. Practical Laravel 11 is not just another documentation tool, it's a must-have companion for Laravel enthusiasts.

What You'll Learn

• Build a GraphQL API to use in real-world applications.
• Work with testing and browser automation tools.
• Consume and expose APIs with Laravel.
• Write Artisan commands that run on the CLI.
• Build a blogging system and WYSIWYG page editor.

Who This Book Is For

Modern developers who want to learn and adopt the latest version of Laravel, and for software architects planning large scale web and mobile applications architectures using the Laravel eco-system, including DevOps, debugging, and testing.

Best-selling author Adam Freeman explains how to get the most from Go, starting from the basics and building up to the most advanced and sophisticated features. You will learn how Go builds on a simple and consistent type system to create a comprehensive and productive development experience that produces fast and robust applications that run across platforms.

Go, also known as Golang, is the concise and efficient programming language designed by Google for creating high-performance, cross-platform applications. Go combines strong static types with simple syntax and a comprehensive standard library to increase programmer productivity, while still supporting features such as concurrent/parallel programming.

Each topic is covered in a clear, concise, no-nonsense approach that is packed with the details you need to learn to be truly effective. Chapters include common problems and how to avoid them.

What You Will Learn

• Gain a solid understanding of the Go language and tools
• Gain in-depth knowledge of the Go standard library
• Use Go for concurrent/parallel tasks
• Use Go for client- and server-side development

Who This Book Is For