Видавець: 16

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Learning D3.js 5 Mapping. Build cutting-edge maps and visualizations with JavaScript - Second Edition

Thomas Newton, Oscar Villarreal, Lars Verspohl

D3.js is a visualization library used for the creation and control of dynamic and interactive graphical forms. It is a library used to manipulate HTML and SVG documents as well as the Canvas element based on data. Using D3.js, developers can create interactive maps for the web, that look and feel beautiful. This book will show you how build and design maps with D3.js and gives you great insight into projections, colors, and the most appropriate types of map.The book begins by helping you set up all the tools necessary to build visualizations and maps. Then it covers obtaining geographic data, modifying it to your specific needs, visualizing it with augmented data using D3.js. It will further show you how to draw and map with the Canvas API and how to publish your visualization. By the end of this book, you'll be creating maps like the election maps and the kind of infographics you'll find on sites like the New York Times.

26322
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Learning D3.js Mapping. Build stunning maps and visualizations using D3.js

Thomas Newton, Oscar Villarreal

If you are interested in creating maps for the web GIS data, this book is for you. Familiarity with D3.js will be helpful but is not necessary.

26323
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Learning Dart. Dart is the programming language developed by Google that offers a new level of simple versatility. Learn all the essentials of Dart web development in this brilliant tutorial that takes you from beginner to pro

Mastering Dart by Projects is a step-by-step guide that aims to give you hands-on knowledge about programming in Dart using an example-based approach.If you want to become a web developer, or perhaps you already are a web developer but you want to add Dart to your tool belt, then this book is for you. This book assumes that you have at least some knowledge of HTML and how web applications work. Some previous programming experience, preferably in a modern language like C#, Java, Python, Ruby, or JavaScript, will also give you a head start. You can also work with Dart on your preferred platform, be it Linux, Mac OS X, or Windows.

26324
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Learning Dart, Second Edition. Learn to develop high performance applications with Dart 1.10 - Second Edition

Ivo Balbaert

Dart is an open source programming language for the web, developed at Google, with a steadily growing community. It is a single language for both client and server, appropriate for the full range of devices on the web – including phones, tablets, laptops, and servers. It encompasses the lessons of the last two decades of web programming.This book will give you a thorough overview of Dart, taking you through its ecosystem, syntax, and development principles.With this book, you will build web games using HTML5, audio, and video, and also dive into processing and displaying data in HTML5 forms with Dart. You will also learn how web components fit together with HTML5, and how to apply them in business web applications of the future. You will discover how to store data on the client, communicate data between client and server with JSON, and store JSON data with MongoDB and MySQL.Stop solving new challenges with the same old tools – let Dart show you a whole new way.

26325
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Learning Data Mining with Python. Harness the power of Python to analyze data and create insightful predictive models

Robert Layton

If you are a programmer who wants to get started with data mining, then this book is for you.

26326
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Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition

Robert Layton

This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now.With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations.

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Learning Design Patterns with Unity. Learn the secret of popular design patterns while building fun, efficient games in Unity 2023 and C#

Harrison Ferrone

Struggling to write maintainable and clean code for your Unity games? Look no further! Learning Design Patterns with Unity empowers you to harness the fullest potential of popular design patterns while building exciting Unity projects. Through hands-on game development, you'll master creational patterns like Prototype to efficiently spawn enemies and delve into behavioral patterns like Observer to create reactive game mechanics. As you progress, you'll also identify the negative impacts of bad architectural decisions and understand how to overcome them with simple but effective practices. By the end of this Unity 2023 book, the way you develop Unity games will change. You'll emerge not just as a more skilled Unity developer, but as a well-rounded software engineer equipped with industry-leading design patterns.

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Learning DevOps. A comprehensive guide to accelerating DevOps culture adoption with Terraform, Azure DevOps, Kubernetes, and Jenkins - Second Edition

Mikael Krief

In the implementation of DevOps processes, the choice of tools is crucial to the sustainability of projects and collaboration between developers and ops. This book presents the different patterns and tools for provisioning and configuring an infrastructure in the cloud, covering mostly open source tools with a large community contribution, such as Terraform, Ansible, and Packer, which are assets for automation.This DevOps book will show you how to containerize your applications with Docker and Kubernetes and walk you through the construction of DevOps pipelines in Jenkins as well as Azure pipelines before covering the tools and importance of testing. You'll find a complete chapter on DevOps practices and tooling for open source projects before getting to grips with security integration in DevOps using Inspec, Hashicorp Vault, and Azure Secure DevOps kit. You'll also learn about the reduction of downtime with blue-green deployment and feature flags techniques before finally covering common DevOps best practices for all your projects.By the end of this book, you'll have built a solid foundation in DevOps and developed the skills necessary to enhance a traditional software delivery process using modern software delivery tools and techniques.