Techniki programowania
Vladimir Vivien, Mario Castro Contreras, Mat Ryer
The Go programming language has firmly established itself as a favorite for building complex and scalable system applications. Go offers a direct and practical approach to programming that lets programmers write correct and predictable code using concurrency idioms and a full-featured standard library. This practical guide is full of real-world examples to help you get started with Go in no time at all. You’ll start by understanding the fundamentals of Go, then get a detailed description of the Go data types, program structures, and Maps. After that, you’ll learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior. Next, you will get familiar with the tools and libraries that are available in Go to write and exercise tests, benchmarking, and code coverage. After that, you will be able to utilize some of the most important features of GO such as Network Programming and OS integration to build efficient applications. Then you’ll start applying your skills to build some amazing projects in Go. You will learn to develop high-quality command-line tools that utilize the powerful shell capabilities and perform well using Go’s built-in concurrency mechanisms. Scale, performance, and high availability lie at the heart of our projects, and the lessons learned throughout the sections will arm you with everything you need to build world-class solutions. You will get a feel for app deployment using Docker and Google App Engine. Each project could form the basis of a start-up, which means they are directly applicable to modern software markets. With these skills in hand, you will be able to conquer all your fears of application development and go on to build large, robust and succinct apps in Go.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:1. Learning Go Programming2. Go Design Patterns3. Go Programming Blueprints, Second Edition
Mat Ryer
Go is the language of the Internet age, and the latest version of Go comes with major architectural changes. Implementation of the language, runtime, and libraries has changed significantly. The compiler and runtime are now written entirely in Go. The garbage collector is now concurrent and provides dramatically lower pause times by running in parallel with other Go routines when possible.This book will show you how to leverage all the latest features and much more. This book shows you how to build powerful systems and drops you into real-world situations. You will learn to develop high quality command-line tools that utilize the powerful shell capabilities and perform well using Go's in-built concurrency mechanisms. Scale, performance, and high availability lie at the heart of our projects, and the lessons learned throughout this book will arm you with everything you need to build world-class solutions. You will get a feel for app deployment using Docker and Google App Engine. Each project could form the basis of a start-up, which means they are directly applicable to modern software markets.
Chris Bradfield
Godot 4.0 is one of the most sought-after open-source game engines, and if you’re enthusiastic about exploring its features, then this book is for you. Written by an author with over twenty-five years of experience, the Godot 4 Game Development Projects introduces the Godot game engine and its feature-rich 4.0 version. With an array of new capabilities, Godot 4.0 is a strong alternative to expensive commercial game engines. If you’re a beginner, this book will help you learn game development techniques, while experienced developers will understand how to use this powerful and customizable tool to bring their creative visions to life.This updated edition consists of five projects with an emphasis on the 3D capabilities of the engine that will help you build on your foundation-level skills through small-scale game projects. Along the way, you’ll gain insights into Godot’s inner workings and discover game development techniques that you can apply to your projects.Using a step-by-step approach and practical examples, this book covers everything from the absolute basics to sophisticated game physics, animations, and much more. By the time you complete the final project, you’ll have a strong foundation for future success with Godot 4.0 and you’ll be well on your way to developing a variety of games.
Google Analytics 4. The Practical Guide
Rheinwerk Publishing, Inc, Markus Vollmert
Master Google Analytics 4 (GA4) with this hands-on guide, starting with account setup, data streams, and Google Tag Manager implementation. The book teaches you to create custom events, track user behavior across websites and apps, and leverage advanced tools like BigQuery and Looker Studio for deeper insights. Throughout, you’ll find practical examples and real-life scenarios that help you apply your learning immediately. It also covers troubleshooting common issues, ensuring data accuracy, and complying with data privacy regulations.Designed for both beginners and experienced users, this book offers step-by-step instructions and expert tips to make the most of GA4’s features. By the end, readers will have the skills to effectively track and analyze data, optimize their digital marketing strategies, and enhance reporting quality for better decision-making. Whether you're a marketer, analyst, or developer, this guide provides the knowledge to harness GA4’s full potential and improve your business's digital presence.
Google Gemini for Python. Coding with Bard: Mastering Python with Google's AI Tools
Mercury Learning and Information, Oswald Campesato
This book bridges Python 3 programming and Generative AI, equipping readers with the skills to navigate both domains confidently. It starts with Python basics, covering data types, number formatting, text manipulation, loops, functions, data structures, NumPy, Pandas, conditional logic, and reserved words. You'll also learn about handling user input, managing exceptions, and working with command-line arguments.The journey continues into Generative AI, distinguishing it from Conversational AI. It introduces popular platforms and models, including Bard (now called Gemini) and its competitors, providing insights into their capabilities, strengths, weaknesses, and applications. The final chapters show how to generate various Python 3 code samples using Gemini.Understanding these concepts is crucial for modern programming and AI applications. This book transitions readers from basic Python programming to advanced AI techniques, blending theoretical knowledge with practical skills. Companion files with source code and figures enhance the learning experience, making this an essential resource for mastering Python 3 and Generative AI.
Alper Dincer, Balkan Uraz
Day by day, the use of location data is becoming more and more popular, and Google is one of the main game changers in this area. The Google Maps JavaScript API is one of the most functional and robust mapping APIs used among Geo developers. With Google Maps, you can build location-based apps, maps for mobile apps, visualize geospatial data, and customize your own maps.Google Maps JavaScript API Cookbook is a practical, hands-on guide that provides you with a number of clear, step-by-step recipes that will help you to unleash the capabilities of the Google Maps JavaScript API in conjunction with open source or commercial GIS servers and services through a number of practical examples of real world scenarios.This book begins by covering the essentials of including simple maps for Web and mobile, adding vector and raster layers, styling your own base maps, creating your own controls and responding to events, and including your own events.You will learn how to integrate open source or commercial GIS servers and services including ArcGIS Server, GeoServer, CartoDB, Fusion Tables, and Google Maps Engine with the Google Maps JavaScript API. You will also extend the Google Maps JavaScript API to push its capabilities to the limit with additional libraries and services including geometry, AdSense, geocoding, directions, and StreetView.This book covers everything you need to know about creating a web map or GIS applications using the Google Maps JavaScript API on multiple platforms.
Hubert Klein Ikkink
Gradle is the next generation in build automation. It uses convention-over-configuration to provide good defaults, but is also flexible enough to be usable in every situation you encounter in daily development. Build logic is described with a powerful DSL and empowers developers to create reusable and maintainable build logic.Gradle Effective Implementation Guide is a great introduction and reference for using Gradle. The Gradle build language is explained with hands on code and practical applications. You learn how to apply Gradle in your Java, Scala or Groovy projects, integrate with your favorite IDE and how to integrate with well-known continuous integration servers.Start with the foundations and work your way through hands on examples to build your knowledge of Gradle to skyscraper heights. You will quickly learn the basics of Gradle, how to write tasks, work with files and how to use write build scripts using the Groovy DSL. Then as you develop you will be shown how to use Gradle for Java projects. Compile, package, test and deploy your applications with ease. When you've mastered the simple, move on to the sublime and integrate your code with continuous integration servers and IDEs. By the end of the Gradle Effective Implementation Guide you will be able to use Gradle in your daily development. Writing tasks, applying plugins and creating build logic will be second nature.
Hubert Klein Ikkink
Gradle is a project automation tool that has a wide range of applications. The basic aim of Gradle is to automate a wide variety of tasks performed by software developers, including compiling computer source code to binary code, packaging binary codes, running tests, deploying applications to production systems, and creating documentation.The book will start with the fundamentals of Gradle and introduce you to the tools that will be used in further chapters. You will learn to create and work with Gradle scripts and then see how to use Gradle to build your Java Projects. While building Java application, you will find out about other important topics such as dependency management, publishing artifacts, and integrating the application with other JVM languages such as Scala and Groovy. By the end of this book, you will be able to use Gradle in your daily development. Writing tasks, applying plugins, and creating build logic will be your second nature.
Kunal Dabir, Abhinandan Maheshwari
Gradle is an advanced and modern build automation tool. It inherits the best elements of the past generation of build tools, but it also differs and innovates to bring terseness, elegance, simplicity, and the flexibility to build.Right from installing Gradle and writing your first build file to creating a fully-fledged multi-module project build, this book will guide you through its topics in a step-by-step fashion.You will get your hands dirty with a simple Java project built with Gradle and go on to build web applications that are run with Jetty or Tomcat. We take a unique approach towards explaining the DSL using the Gradle API, which makes the DSL more accessible and intuitive. All in all, this book is a concise guide to help you decipher the Gradle build files, covering the essential topics that are most useful in real-world projects. With every chapter, you will learn a new topic and be able to readily implement your build files.
Estelle Scifo
Neo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance.Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You’ll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you’ll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you’ll be able to integrate graph algorithms into your ML pipeline.By the end of this book, you’ll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions.
Andrey Adamovich, Luciano Fiandesio
Get up to speed with Groovy, a language for the Java Virtual Machine (JVM) that integrates features of both object-oriented and functional programming. This book will show you the powerful features of Groovy 2 applied to real-world scenarios and how the dynamic nature of the language makes it very simple to tackle problems that would otherwise require hours or days of research and implementation.Groovy 2 Cookbook contains a vast number of recipes covering many facets of today's programming landscape. From language-specific topics such as closures and metaprogramming, to more advanced applications of Groovy flexibility such as DSL and testing techniques, this book gives you quick solutions to everyday problems.The recipes in this book start from the basics of installing Groovy and running your first scripts and continue with progressively more advanced examples that will help you to take advantage of the language's amazing features.Packed with hundreds of tried-and-true Groovy recipes, Groovy 2 Cookbook includes code segments covering many specialized APIs to work with files and collections, manipulate XML, work with REST services and JSON, create asynchronous tasks, and more. But Groovy does more than just ease traditional Java development: it brings modern programming features to the Java platform like closures, duck-typing, and metaprogramming.In this new book, you'll find code examples that you can use in your projects right away along with a discussion about how and why the solution works. Focusing on what's useful and tricky, Groovy 2 Cookbook offers a wealth of useful code for all Java and Groovy programmers, not just advanced practitioners.
gRPC Go for Professionals. Implement, test, and deploy production-grade microservices
Clément Jean
In recent years, the popularity of microservice architecture has surged, bringing forth a new set of requirements. Among these, efficient communication between the different services takes center stage, and that's where gRPC shines. This book will take you through creating gRPC servers and clients in an efficient, secure, and scalable way. However, communication is just one aspect of microservices, so this book goes beyond that to show you how to deploy your application on Kubernetes and configure other tools that are needed for making your application more resilient. With these tools at your disposal, you’ll be ready to get started with using gRPC in a microservice architecture.In gRPC Go for Professionals, you'll explore core concepts such as message transmission and the role of Protobuf in serialization and deserialization. Through a step-by-step implementation of a TODO list API, you’ll see the different features of gRPC in action. You’ll then learn different approaches for testing your services and debugging your API endpoints. Finally, you’ll get to grips with deploying the application services via Docker images and Kubernetes.
Banibrata De
Effective machine learning (ML) now demands not just building models but deploying and managing them at scale. Written by a seasoned senior software engineer with high-level expertise in both MLOps and LLMOps, Hands-On MLOps on Azure equips ML practitioners, DevOps engineers, and cloud professionals with the skills to automate, monitor, and scale ML systems across environments.The book begins with MLOps fundamentals and their roots in DevOps, exploring training workflows, model versioning, and reproducibility using pipelines. You'll implement CI/CD with GitHub Actions and the Azure ML CLI, automate deployments, and manage governance and alerting for enterprise use. The author draws on their production ML experience to provide you with actionable guidance and real-world examples. A dedicated section on LLMOps covers operationalizing large language models (LLMs) such as GPT-4 using RAG patterns, evaluation techniques, and responsible AI practices. You'll also work with case studies across Azure, AWS, and GCP that offer practical context for multi-cloud operations.Whether you're building pipelines, packaging models, or deploying LLMs, this guide delivers end-to-end strategy to build robust, scalable systems. By the end of this book, you'll be ready to design, deploy, and maintain enterprise-grade ML solutions with confidence.
Faraz K. Kelhini, Butch Mayhew, Ben Fellows
Hands-On Automated Testing with Playwright draws from Faraz and Butch’s extensive experience to help you harness the full potential of Microsoft's Playwright framework.The book begins with a quick setup refresher, walking you through intermediate and advanced concepts such as dynamic content handling, accessibility testing, AI-generated test scripts, and parallel test execution. You'll explore real-world applications with end-to-end testing workflows for e-commerce and single-page applications. Alongside traditional topics such as accessibility, mobile, and visual regression testing, this book delves into modern trends such as CI/CD pipelines, DevOps integration, and AI-driven testing enhancements. Each chapter is packed with practical examples, expert techniques, and performance optimization tips, helping you gain a deep understanding of maintainable automation strategies. Whether you're transitioning from manual testing or expanding your automation toolbox, this Playwright book provides the skills and confidence to build future-proof testing systems in today's complex web development landscape.*Email sign-up and proof of purchase required
Ankur Roy
Python stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples.You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you’ll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python’s role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python’s integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more.By the end of this book, you’ll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.
Jim Yuill, Penn Linder
This updated edition of Hands-On RTOS with Microcontrollers is packed with cutting-edge content to help you expand your skills and stay ahead of the curve with embedded systems development. Written by senior engineers with decades of experience in embedded systems and related technologies, it covers the role of real-time OSs in today’s time-critical applications, and it covers FreeRTOS, including its key capabilities and APIs. You’ll find detailed descriptions of system design, hands-on system use, the hardware platform (dev-board, MCU, and debug-probe), and the development tools (IDE, build system, and debugging tools).This second edition teaches you how to implement over 20 real-world embedded applications, using FreeRTOS's primary features. The chapters include example programs on GitHub, with detailed instructions. You’ll create and install your own FreeRTOS system on the dev-board (purchased separately), and set up an IDE project with debugging tools.An ST dev-board is used with the book, and it is purchased separately (STM32 Nucleo-F767ZI - the dev-board is not required to read and understand the book).By the end of this book, you’ll have the hands-on skills to start designing, building, and optimizing embedded applications, using FreeRTOS, development boards, and debugging tools.