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Node-RED is a free and open source flow-based programming tool used to handle IoT data that allows programmers of any level to interconnect physical I/O, cloud-based systems, databases, and APIs to build web applications without code.Practical Node-RED Programming is a comprehensive introduction for anyone looking to get up to speed with the Node-RED ecosystem in no time. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will help you to become well versed in the foundations of Node-RED. You’ll learn how to use Node-RED to handle IoT data and build web applications without having to write complex code. Once you’ve covered the basics, you’ll explore various visual programming techniques and find out how to make sample flows as you cover web development, IoT development, and cloud service connections, and finally build useful real-world applications.By the end of this book, you’ll have learned how to use Node-RED to develop a real-world application from scratch, which can then be implemented in your business.
Bernardo Iraci, Ton Roosendaal
Blender provides a broad spectrum of modeling, texturing, lighting, animation and video post-processing functionality in one package. It provides cross-platform interoperability, extensibility and a tightly integrated workflow. Blender is one of the most popular Open Source 3D graphics applications in the world.Modern GPUs (Graphics Processing Unit) have some limitations for rendering complex scenes. This is mainly because of limited memory, and interactivity issues when the same graphics card is also used for displaying and rendering frames. This is where Cycles rendering engine comes into play. Cycles is bundled as an add-on with Blender. Some of the features of Cycles is its quality, speed and having integrated industry standard libraries.This book will show you how to carry out your first steps in Cycles - a brand new rendering engine for Blender. In a gradual and logical way, you will learn how to create complex shaders and lighting setups to face any kind of situation that you may find in Computer Graphics.This book provides information on how to setup your first application in Cycles. You will start by adding lights, materials, and textures to your scene. When it's time for the final render, you will see how to setup Cycles in the best way. You will learn about a wide variety of materials, lighting, techniques, tips, and tricks to get the best out of Cycles. Further on in the book, you will get to know about animation and still shots, and learn how to create advanced materials for realistic rendering, as well cartoon style shaders.This cookbook contains a wide range of different scenes, proposed in a structured and progressive order. During this journey, you will get involved in the concepts behind every step you take in order to really master what you learn.
Manuel Spigolon, Maksim Sinik, Matteo Collina
This book is a complete guide to server-side app development in Fastify, written by the core contributors of this highly performant plugin-based web framework. Throughout the book, you’ll discover how it fosters code reuse, thereby improving your time to market.Starting with an introduction to Fastify’s fundamental concepts, this guide will lead you through the development of a real-world project while providing in-depth explanations of advanced topics to prepare you to build highly maintainable and scalable backend applications. The book offers comprehensive guidance on how to design, develop, and deploy RESTful applications, including detailed instructions for building reusable components that can be leveraged across multiple projects. The book presents guidelines for creating efficient, reliable, and easy-to-maintain real-world applications. It also offers practical advice on best practices, design patterns, and how to avoid common pitfalls encountered by developers while building backend applications.By following these guidelines and recommendations, you’ll be able to confidently design, implement, deploy, and maintain an application written in Fastify, and develop plugins and APIs to contribute to the Fastify and open source communities.
Learning Adobe Muse. Create beautiful websites without writing any code with this book and
Adobe Muse is an exciting new tool from the world's foremost design software company which allows users to create beautiful and fully functioning websites without writing any code. It provides graphic designers the power to use their print design skills over the Web. This book will help web designers as well as graphic designers to master Adobe Muse quickly. It will provide step-by-step instructions that guide you through building a website with Adobe Muse.Learning Adobe Muse will teach you how to plan, design and publish websites using Adobe Muse. It starts by covering the tools and interface of the program and moves on to the concepts you'll need to understand for laying out your web pages. You'll learn how to format text using reusable styles, add images, create a clean navigation system, and add interactive elements such as panels and slideshows to your pages and all this without writing a single line of code!By the end of the book you will have created a smartlydesigned, fully-functioning website.
If you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help.Starting by setting up the Python environment for trading and connectivity with brokers, you’ll then learn the important aspects of financial markets. As you progress, you’ll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you’ll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You’ll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders.By the end of this book, you’ll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem.Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice.
In today's data-centric world, the ability to extract meaningful insights from vast amounts of data has become a valuable skill across industries. Exploratory Data Analysis (EDA) lies at the heart of this process, enabling us to comprehend, visualize, and derive valuable insights from various forms of data.This book is a comprehensive guide to Exploratory Data Analysis using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and unstructured data. It offers hands-on guidance and code for concepts such as generating summary statistics, analyzing single and multiple variables, visualizing data, analyzing text data, handling outliers, handling missing values and automating the EDA process. It is suited for data scientists, data analysts, researchers or curious learners looking to gain essential knowledge and practical steps for analyzing vast amounts of data to uncover insights.Python is an open-source general purpose programming language which is used widely for data science and data analysis given its simplicity and versatility. It offers several libraries which can be used to clean, analyze, and visualize data. In this book, we will explore popular Python libraries such as Pandas, Matplotlib, and Seaborn and provide workable code for analyzing data in Python using these libraries.By the end of this book, you will have gained comprehensive knowledge about EDA and mastered the powerful set of EDA techniques and tools required for analyzing both structured and unstructured data to derive valuable insights.