With over 50,000 copies sold, The Rust Programming Language is the quintessential guide to programming in Rust. Thoroughly updated to Rust’s latest version, this edition is considered the language’s official documentation.The Rust Programming Language "covers everything you could want to know about the language."—Stack OverflowRust 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 compilerSmart pointers and multithreading, and how ownership interacts with them to enable fearless concurrencyHow to use Cargo, Rust’s built-in package manager, to build, document your code, and manage dependenciesThe best ways to test, handle errors, refactor, and take advantage of expressive pattern matchingIn addition to the countless code examples, you’ll find three chapters dedicated to building complete projects: a number-guessing game, a Rust implementation of a command line tool, and a multithreaded server. Read more

What will you learn from this book?The new edition of this brain-friendly guide takes you through a comprehensive journey into modern JavaScript, covering everything from core language fundamentals to today's cutting-edge features. You'll dive into the nuances of JavaScript types and the unparalleled flexibility of its functions. You'll also learn how to expertly navigate classes and objects, and finally understand closures. But that's just the beginning. You'll also get hands-on with the browser's document object model (DOM), engaging with JavaScript in exciting ways. You won't just be reading—you'll be playing games, solving puzzles, pondering mysteries, and interacting with JavaScript as never before. And you'll write real code, lots of it, so you can start building your own applications.What's so special about this book?If you've read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you'll learn JavaScript through a multisensory experience that engages your mind—rather than a text-heavy approach that puts you to sleep. Read more

Creating Stunning Visuals in Unity with Shaders and Effects: Step-by-Step Tutorials for Game DevelopersAbout the Technology:In today's competitive gaming landscape, captivating visuals are no longer a luxury, but a necessity. Players crave immersive experiences, and stunning graphics play a crucial role in drawing them into your game worlds. Shaders and visual effects are the key to unlocking this potential, allowing you to craft breathtaking environments, realistic characters, and dynamic special effects that will leave a lasting impression.This book is written by experienced game developers and shader programmers who have a passion for pushing the boundaries of visual fidelity in Unity. We've poured our knowledge and expertise into this comprehensive guide, providing you with a clear and accessible path to mastering shader programming.Summary of the Book:"Creating Stunning Visuals in Unity with Shaders and Effects" is your hands-on guide to mastering the art and science of shader programming in Unity. Through practical, step-by-step tutorials, you'll learn how to create a wide range of effects, from basic lighting and texturing to advanced post-processing, procedural generation, and custom UI effects.What's Inside:Fundamentals of Shader Programming: Master the essentials of vertex and fragment shaders, ShaderLab syntax, and the Unity rendering pipeline.Lighting and Shading: Explore various lighting models, including diffuse, specular, and ambient lighting, and learn how to create realistic materials with normal mapping and physically based rendering (PBR).Textures and Effects: Dive into texture mapping, sampling, filtering, and creating dynamic effects with render textures.Post-Processing: Enhance your scenes with cinematic effects like color grading, bloom, depth of field, and motion blur.Procedural Generation: Generate textures and geometry procedurally using noise functions and mathematical operations.Custom UI: Create unique and interactive UI elements with custom shaders and animations.Optimization: Learn how to profile and optimize your shaders for optimal performance on various platforms.About the Reader:Whether you're a beginner taking your first steps into the world of shaders or an experienced developer seeking to expand your visual effects toolkit, this book is for you. We've designed the content to be accessible and engaging, with clear explanations, practical examples, and real-world applications.Don't let the seemingly complex world of shaders intimidate you. With this book as your guide, you'll be amazed at how quickly you can grasp the fundamentals and start creating stunning visual effects. We'll break down complex concepts into manageable steps, making the learning process enjoyable and rewarding.Unleash your creativity and bring your game worlds to life with the power of shaders and effects. Grab your copy of "Creating Stunning Visuals in Unity with Shaders and Effects" today and embark on an exciting journey to mastering the art of visual effects in Unity! Read more

The bestselling introduction to Python programming, revised to include the latest Python features, improved explanations, and new chapters about databases and sound files.If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do this work for you?In this fully revised third edition of Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Early chapters will teach you the fundamentals of Python through clear explanations and engaging examples. You’ll write your first Python program; work with strings, lists, dictionaries, and other data structures; then use regular expressions to find and manipulate text patterns. Once you’ve mastered the basics, you’ll tackle projects that teach you to use Python to automate tasks like: Searching the web, downloading content, and filling out formsFinding, extracting, and manipulating text and data in files and spreadsheetsCopying, moving, renaming, or compressing saved files on your computerSplitting, merging, and extracting text from PDFs and Word documentsInteracting with applications through custom mouse and keyboard macrosManaging your inbox, unsubscribing from lists, and sending email or text notificationsNew to this edition: All code and examples have been thoroughly updated. You’ll also find four new chapters on database integration, speech recognition, and audio and video editing, as well as 16 new programming projects and expanded coverage of developer techniques like creating command line programs.Don’t spend your time on work a well-trained monkey could do. Even if you’ve never written a line of code, you can pass off that grunt work to your computer. Learn how in Automate the Boring Stuff with Python. Read more

Don't waste time bending Python to fit patterns you've learned in other languages. Python's simplicity lets you become productive quickly, but often this means you aren't using everything the language has to offer. With the updated edition of this hands-on guide, you'll learn how to write effective, modern Python 3 code by leveraging its best ideas.Discover and apply idiomatic Python 3 features beyond your past experience. Author Luciano Ramalho guides you through Python's core language features and libraries and teaches you how to make your code shorter, faster, and more readable.Complete with major updates throughout, this new edition features five parts that work as five short books within the book:Data structures: Sequences, dicts, sets, Unicode, and data classesFunctions as objects: First-class functions, related design patterns, and type hints in function declarationsObject-oriented idioms: Composition, inheritance, mixins, interfaces, operator overloading, protocols, and more static typesControl flow: Context managers, generators, coroutines, async/await, and thread/process poolsMetaprogramming: Properties, attribute descriptors, class decorators, and new class metaprogramming hooks that replace or simplify metaclasses Read more

An inside look at modern open source software development and its influence on our online social world.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 developmentThe structures, roles, incentives, and relationships involved in open source projectsThe often-overlooked maintenance required of its creatorsThe 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. Read more

Unlock the Power of Git and GitHub for Seamless Collaboration Key Features ● Efficiently manage code with Git's powerful version control. ● Collaborate on projects and contribute to open-source via GitHub. ● Simplify development processes using streamlined workflows. ● Track issues, manage tasks, and review code with GitHub tools. ● Automate builds, tests, and deployments with GitHub Actions. Book Description Ultimate Git and GitHub for Modern Software Development is a comprehensive guide that empowers developers to harness the full potential of Git and GitHub for efficient version control and seamless collaboration. This book takes you on a journey through the fundamentals of Git, exploring its commands, branching strategies, and conflict resolution techniques. It then delves into the world of GitHub, teaching you how to create repositories, collaborate with teams, and contribute to open-source projects. Whether you're a beginner or an experienced developer, this handbook equips you with the skills and knowledge to streamline your development workflow, ensure code integrity, and foster a collaborative coding environment. With clear explanations, real-world examples, and best practices, you will learn to leverage the power of these tools to enhance your coding experience and elevate your projects to new heights. What you will learn ● Gain a comprehensive understanding of Git fundamentals and its version control, covering repositories, commits, branches, and merges. ● Develop expertise in essential Git commands for staging changes, committing code, managing branches, and resolving conflicts. ● Learn to effectively utilize GitHub for creating and managing repositories, collaborating with team members, and optimizing project workflows. ● Contribute to open-source projects by forking repositories, submitting pull requests, and building a strong developer community. ● Best practices for writing clear and concise commit messages, enhancing project clarity and history tracking. ● Strategies to maintain code quality, conduct thorough code reviews, and secure repositories, ensuring the integrity and safety of your codebase. Who is this book for? This book caters to software developers, DevOps engineers, project managers, open-source contributors, technical leaders, students, and educators. It offers comprehensive guidance on Git and GitHub for efficient code management, collaboration, and project workflow optimization. Readers should have basic command-line and software development knowledge. Table of Contents 1. Introduction 2. Setting Up Git 3. Understanding Git Repositories 4. Basic Git Commands 5. Branching and Merging 6. Introduction to GitHub 7. Working Seamlessly With Both Git and GitHub 8. Advanced Git Techniques 9. GitOps: The Future of Operations 10. Best Practices with Git and GitHub     Index About the Author Pravin Mishra is an accomplished author, AWS Trainer, Mentor, and Cloud Computing Expert with over 14 years of experience in the IT industry. As the author of Cloud Computing with AWS and Mastering AWS DevOps, his books have garnered significant traction among students and professionals seeking to enhance their cloud skills. Pravin is an AWS Community Builder, recognized for his deep understanding of the AWS ecosystem and its applications. Pravin currently serves as an Enterprise Architect at The CloudAdvisory, where he specializes in assisting customers with cloud migration and application modernization. He has a proven track record of success, having previously worked for renowned companies like Nordcloud, Ericsson, and Verizon, focusing on cloud migration to AWS and upskilling IT professionals. Read more

Best-selling author Al Sweigart shows you how to easily build over 80 fun programs with minimal code and maximum creativity.If you’ve mastered basic Python syntax and you’re ready to start writing programs, you’ll find The Big Book of Small Python Projects both enlightening and fun. This collection of 81 Python projects will have you making digital art, games, animations, counting pro- grams, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches.These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage screensaver, a snail-racing game, a clickbait headline generator, or animated strands of DNA, each project is designed to be self-contained so you can easily share it online.You’ll create:• Hangman, Blackjack, and other games to play against your friends or the computer• Simulations of a forest fire, a million dice rolls, and a Japanese abacus• Animations like a virtual fish tank, a rotating cube, and a bouncing DVD logo screensaver• A first-person 3D maze game• Encryption programs that use ciphers like ROT13 and Vigenère to conceal textIf you’re tired of standard step-by-step tutorials, you’ll love the learn-by-doing approach of The Big Book of Small Python Projects. It’s proof that good things come in small programs! Read more

Python Crash Course is the world’s bestselling programming book, with over 1,500,000 copies sold to date!Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time.You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online.As you work through the book, you’ll learn how to:Use powerful Python libraries and tools, including pytest, Pygame, Matplotlib, Plotly, and DjangoMake increasingly complex 2D games that respond to keypresses and mouse clicksGenerate interactive data visualizations using a variety of datasetsBuild apps that allow users to create accounts and manage their own data, and deploy your apps online Troubleshoot coding errors and solve common programming problems New to this edition: This third edition is completely revised to reflect the latest in Python code. New and updated coverage includes VS Code for text editing, the pathlib module for file handling, pytest for testing your code, as well as the latest features of Matplotlib, Plotly, and Django.If you’ve been thinking about digging into programming, Python Crash Course will provide you with the skills to write real programs fast. Why wait any longer? Start your engines and code!Covers Python 3.x Read more

This practical, tutorial-style book uses the Kali Linux distribution to teach Linux basics with a focus on how hackers would use them. Topics include Linux command line basics, filesystems, networking, BASH basics, package management, logging, and the Linux kernel and drivers.If you're getting started along the exciting path of hacking, cybersecurity, and pentesting, Linux Basics for Hackers is an excellent first step. Using Kali Linux, an advanced penetration testing distribution of Linux, you'll learn the basics of using the Linux operating system and acquire the tools and techniques you'll need to take control of a Linux environment.First, you'll learn how to install Kali on a virtual machine and get an introduction to basic Linux concepts. Next, you'll tackle broader Linux topics like manipulating text, controlling file and directory permissions, and managing user environment variables. You'll then focus in on foundational hacking concepts like security and anonymity and learn scripting skills with bash and Python. Practical tutorials and exercises throughout will reinforce and test your skills as you learn how to:- Cover your tracks by changing your network information and manipulating the rsyslog logging utility- Write a tool to scan for network connections, and connect and listen to wireless networks- Keep your internet activity stealthy using Tor, proxy servers, VPNs, and encrypted email- Write a bash script to scan open ports for potential targets- Use and abuse services like MySQL, Apache web server, and OpenSSH- Build your own hacking tools, such as a remote video spy camera and a password crackerHacking is complex, and there is no single way in. Why not start at the beginning with Linux Basics for Hackers? Read more

Python Workbook for Beginners with Hands-On Projects Are you looking for a hands-on approach to learn Python fast? Or perhaps you have just completed a Python course and are looking for practice questions to test your Python skills. Do you have problems with some Python concepts and are looking for a workbook to provide you with more questions and solutions to learn from? This workbook is for you. This book is designed to be the accompanying workbook for the book “Learn Python In One Day and Learn It Well (2nd Edition)” by the same author. It can also be used as a standalone workbook for you to test and improve your knowledge of the Python syntax. What this book offers... Carefully designed questions Each question in this workbook is crafted to help you gradually build your programming skills, focusing on one or two concepts at a time and increasing in level of difficulty as we progress through the chapters. Clear and Easy to Understand Solutions All solutions in this book are extensively tested by a group of beta readers. The solutions provided are simplified as much as possible so that they can serve as examples for you to refer to when you are learning a new syntax. Two Projects to Consolidate Your Learning This workbook also includes two projects at the end to help you consolidate your learning. While the individual chapters prior to the projects help you learn one concept at a time, these two projects require the application of multiple concepts covered in previous chapters and allow you to see how everything works together. What this book aims to do... This workbook is written with one goal in mind – to help new programmers overcome their initial obstacles to learning. A lot of times, when new programmers look at code written by other programmers, they tend to feel intimidated as a lot of the code looks complicated to them. A complete program written by other programmers incorporates many different concepts. The goal of this workbook is to isolate the different concepts so that new programmers can gradually gain competency in the fundamentals of the language before working on bigger projects at the end of the book. Programming does not have to be scary or frustrating when you take one step at a time. Ready to start practicing and building your Python skills? Click the BUY button now to download this workbook. Topics Covered: - Variables and Mathematical Operations in Python - Common data types, including integers, floats, strings - Lists, Tuples and Dictionaries - String Formatting - Accepting user inputs and displaying outputs - Comparison and Condition Statements - Control flow tools in Python - How to handle errors and exceptions - What are functions and modules? - How to define your own functions and modules - How to work with external files - Object Oriented Programming Concepts - Classes, Subclasses and Inheritance ..and more... Click the BUY button and download the book now to start learning and practicing your Python skills. Learn it fast and learn it well. Read more

Unlock the Power of Python with Learn Python in 24 Hours: The Complete Crash CourseYour ultimate guide to mastering Python programming in just one day! Designed for beginners and programmers alike, this learning Python book combines simplicity and practicality to teach you Python's core concepts, applications, and tools. Whether you’re new to coding or looking to add Python to your skill set, this Python crash course is tailored to help you achieve programming success.Why Learn Python?Python is one of the most versatile, easy-to-learn, and widely used programming languages in the world. Its simplicity and vast applications make it the go-to choice for web development, data analysis, automation, and beyond. This book will take you from beginner to programmer in a single day, providing hands-on experience with real-world coding.What’s Inside?This Python programming for beginners guide is structured into 24 power-packed hours of learning:Hour 1-2: Getting started with Python, setting up your environment, and writing your first program.Hour 3-4: Understanding variables, data types, operators, loops, and conditional statements.Hour 5-10: Exploring functions, OOP basics, advanced OOP concepts, and Python data structures like lists, dictionaries, and sets.Hour 11-14: Delving into file handling, exception handling, modules, and libraries such as NumPy and pandas for data analysis.Hour 15-20: Learning decorators, APIs, automation, and web development using Flask.Hour 21-24: Diving into Python for data science, machine learning basics, cloud integration, and building real-world projects.Who Should Read This Book?This book is perfect for:Beginners seeking a fast and easy way to learn Python programming.Programmers wanting a concise yet comprehensive Python for dummies guide.Anyone aiming to grasp Python's real-world applications across various fields.What You’ll Learn:Effortless installation and setup of Python.The fundamentals of Python syntax, variables, data types, and operators.Control flow mastery using loops and conditionals.How to write and organize code with functions and modules.Object-Oriented Programming (OOP) basics and advanced concepts.Practical skills in file handling, data visualization, and database management.Real-world applications like web development, APIs, and machine learning.Best practices for writing clean, efficient code and using version control.With a hands-on approach, clear explanations, and practical examples, Learn Python in 24 Hours is your one-stop solution to mastering Python quickly and confidently. Whether you're pursuing a career in tech, upgrading your programming skills, or exploring Python for fun, this book ensures you stay ahead in your coding journey.Get started today and experience the transformative power of Python programming! Read more

Your Complete Guide to Mastering R Programming in Just One Day!Whether you're a beginner or an aspiring data scientist, Learn R in 24 Hours: The Ultimate Crash Course is designed to make your journey into the world of R programming seamless and effective. This hands-on guide simplifies key concepts, empowering you to explore R’s capabilities for data science, statistical analysis, and visualization.Why Learn R?R is a powerful, open-source language widely used for data science, statistical computing, and machine learning. Its robust ecosystem, user-friendly syntax, and versatility make it a go-to tool for professionals and beginners alike. From building visualizations to performing complex data analysis, this book equips you with the essential skills to master the art of R programming.What’s Inside?This R programming for beginners guide is structured into 24 dynamic hours of learning:Hour 1-2: Introduction to R Programming and Setting Up Your Environment (Understanding R Programming, Real-World Applications, Installing R and RStudio, Navigating the Interface, Creating Your First Project).Hour 3-5: R Programming Basics and Working with Data Structures (Variables and Constants, Data Types, Vectors, Lists, Matrices, Arrays, Data Frames, Input/Output Operations).Hour 6-10: Importing and Manipulating Data (Reading and Writing Data, dplyr for Data Manipulation, Filtering, Grouping, Summarizing, Sorting Records).Hour 11-15: Data Visualization and Exploratory Data Analysis (Visualizations with ggplot2, Summary Statistics, Correlation and Trend Analysis).Hour 16-24: Statistical Analysis, Machine Learning, and Projects (Regression, Classification, Clustering, Time Series, Big Data Handling, Debugging, Shiny Apps).Who Should Read This Book?This crash course is perfect for:Beginners seeking a practical introduction to R programming for data science.Aspiring data scientists building strong foundations in statistical computing.Professionals in need of an R for dummies guide to upskill their analytics capabilities.Students and researchers seeking hands-on experience with R for data science.What You’ll Learn:How to set up R and RStudio effortlessly.The fundamentals of R syntax, variables, data structures, and functions.Best practices for working with data frames, matrices, and lists.How to clean and manipulate data with R’s libraries.The art of R programming for creating stunning data visualizations.Statistical modeling and performing data analysis confidently.Real-world applications like building reports with R Markdown.Efficient coding practices, debugging, and version control.Why This Book Stands Out:With a hands-on programming with R approach, step-by-step exercises, and real-world coding examples, Learn R in 24 Hours: The Ultimate Crash Course ensures you gain practical knowledge and confidence in your R programming abilities.Whether you're pursuing a career in data science, enhancing your portfolio, or exploring analytics, this crash course will help you learn R programming and unlock new opportunities.Start your R programming journey today and experience the power of data science mastery! Read more

Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--allowing data and ML practitioners to collaborate and understand each other better.Scaling Machine Learning with Spark examines several technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLflow, TensorFlow, and PyTorch. If you're a data scientist who works with machine learning, this book shows you when and why to use each technology.You will:Explore machine learning, including distributed computing concepts and terminologyManage the ML lifecycle with MLflowIngest data and perform basic preprocessing with SparkExplore feature engineering, and use Spark to extract featuresTrain a model with MLlib and build a pipeline to reproduce itBuild a data system to combine the power of Spark with deep learningGet a step-by-step example of working with distributed TensorFlowUse PyTorch to scale machine learning and its internal architecture Read more

Impractical Python Projects is a collection of fun and educational projects designed to entertain programmers while enhancing their Python skills. It picks up where the complete beginner books leave off, expanding on existing concepts and introducing new tools that you'll use every day. And to keep things interesting, each project includes a zany twist featuring historical incidents, pop culture references, and literary allusions.You'll flex your problem-solving skills and employ Python's many useful libraries to do things like:- Help James Bond crack a high-tech safe with a hill-climbing algorithm - Write haiku poems using Markov Chain Analysis- Use genetic algorithms to breed a race of gigantic rats- Crack the world's most successful military cipher using cryptanalysis- Derive the anagram, "I am Lord Voldemort" using linguistical sieves - Plan your parents' secure retirement with Monte Carlo simulation- Save the sorceress Zatanna from a stabby death using palingrams- Model the Milky Way and calculate our odds of detecting alien civilizations- Help the world's smartest woman win the Monty Hall problem argument- Reveal Jupiter's Great Red Spot using optical stacking- Save the head of Mary, Queen of Scots with steganography- Foil corporate security with invisible electronic inkSimulate volcanoes, map Mars, and more, all while gaining valuable experience using free modules like Tkinter, matplotlib, Cprofile, Pylint, Pygame, Pillow, and Python-Docx.Whether you're looking to pick up some new Python skills or just need a pick-me-up, you'll find endless educational, geeky fun with Impractical Python Projects. Read more

Written by the creator of SpecFlow and the author of The Cucumber for Java Book, this book gives the reader the inside information on how to effectively formulate concrete examples (generated during the discovery phase) as business-readable, Gherkin scenarios - the industry leading Behaviour Driven Development (BDD) specification syntax. This practical guide explores the practices and principles for writing better scenarios (using Given/When/Then), by following a team as they create living documentation for a product that they are enhancing.This book is written for everyone involved in the specification and delivery of software (including product owners, business analysts, developers and testers). The book describes how all stakeholders need to be involved in the creation of a product's specification. How you get involved will depend on your skills, your other time commitments, and a host of other factors - but the involvement of all concerned is essential. So, whether you come up with the words, do the typing, or provide constructive feedback, you will find this book indispensable.This is the second in the BDD Books series that will guide you through the entire development process, including specific technical practices needed to successfully drive development using collaboratively-authored specifications and living documentation.There is a Slack channel where topics arising from the BDD Books series can be discussed. First you’ll need to join the Cucumber Community Slack workspace (if you haven’t already) at https://bit.ly/bdd-books-slack. Then join the #bdd-books-discussion channel. Read more

Build powerful, intelligent AI workflows — no coding required.Whether you’re a creator, developer, educator, or business leader, LangFlow, 2nd Edition is your complete, hands-on guide to designing, building, and deploying custom AI agents and Retrieval-Augmented Generation (RAG) applications using LangFlow’s visual, no-code platform.This updated second edition includes the latest features of LangFlow v2, including flow-based design, memory and tool integrations, advanced RAG techniques, and enterprise-ready deployment options. You’ll go from zero to production with ease — using drag-and-drop building blocks that bring LangChain logic to life.Inside You’ll Learn How To:Build custom AI agents that understand, retrieve, and respond to data Connect LLMs with your files, APIs, tools, and databases Automate conversations, workflows, and decision-making without Python Deploy your flows using Heroku, Docker, AWS Lambda, or GitHub Actions Apply advanced prompt engineering, memory design, and RAG workflows Monitor performance, troubleshoot errors, and optimize output quality What’s New in the 2nd Edition:Updated UI walkthrough for LangFlow v2.x Expanded support for tool nodes, condition logic, and plugins End-to-end deployment pipelines with CI/CD automation New chapters on hybrid search, ethical AI, cost optimization, and more Dozens of real-world templates and full sample projects Perfect For:No-code builders who want to create powerful AI apps LangChain and RAG enthusiasts exploring visual development Startups, solopreneurs, and internal teams building AI copilots Educators teaching AI concepts without writing code Developers seeking rapid prototyping without backend complexity Includes Bonus Content:Downloadable templates, prompts, and JSON flows Visual architecture diagrams and design blueprints Troubleshooting checklists and CI-ready configs Community links, Discord access, and contribution guide You don’t need to be a programmer to build real AI systems.With LangFlow, 2nd Edition, you’ll learn to build, test, and launch smart, connected, production-grade AI agents — visually, intuitively, and fast.Start building AI — without writing a single line of code. Read more

Want to create devices that interact with the physical world? This cookbook is perfect for anyone who wants to experiment with the popular Arduino microcontroller and programming environment. You’ll find more than 200 tips and techniques for building a variety of objects and prototypes such as IoT solutions, environmental monitors, location and position-aware systems, and products that can respond to touch, sound, heat, and light.Updated for the Arduino 1.8 release, the recipes in this third edition include practical examples and guidance to help you begin, expand, and enhance your projects right away—whether you’re an engineer, designer, artist, student, or hobbyist.Get up to speed on the Arduino board and essential software concepts quicklyLearn basic techniques for reading digital and analog signalsUse Arduino with a variety of popular input devices and sensorsDrive visual displays, generate sound, and control several types of motorsConnect Arduino to wired and wireless networksLearn techniques for handling time delays and time measurementApply advanced coding and memory-handling techniques Read more

Brought to you by Nigel Poulton, best-selling author of:Quick Start KubernetesThe Kubernetes BookDocker Deep DiveData Storage NetworkingKubernetes and cloud native technologies are reshaping the world.Possessing the knowledge and skills to leverage Kubernetes and cloud-native technologies is a huge career boost for you. It can get you the best roles, on the best projects, at the best organisations. It can even earn you more money.With this in mind, the Cloud Native Computing Foundation designed the Kubernetes and Cloud Native Associate (KCNA) certification and exam as a way for you to prove your competence with these technologies.This book covers every exam objective in one place in a well-organised and concise format. It's useful as both a revision guide and a place to start learning new technologies and concepts. For example, if you already know the basics of Kubernetes, the book will reinforce what you know and test your knowledge with its extensive quizzes and explanations. However, if you're new to any of the exam topics, the book will get you up-to-speed quickly.Contains over 200 chapter-review questions, as well as a full 60-question sample exam.When you've finished the book, you'll be ready to smash the KCNA exam! Read more

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