Json Quick Syntax Reference
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JSON Quick Syntax Reference
This compact syntax reference covers syntax and parameters central to JSON object definitions. You’ll learn the syntax used in the JSON object definition language, logically organized by topical chapters, and getting more advanced as chapters progress, covering structures and file formats which are best for use with HTML5. Furthermore, the JSON Quick Syntax Reference includes the key factors regarding the data footprint optimization work process, the in-lining of CSS and JS files, and why a data footprint optimization work process is important. What You'll Learn • Use the object definition syntax supported in JSON• Define a JSON content production workflow• Gain an understanding of the concepts and principles behind JSON object definitions• Use JSON code snippets and apply them in your web applications• Utilize the NetBeans, Android Studio, and Eclipse IDEs for your JSON coding Who This Book Is For Web developers, Android application developers, and user interface designers.
Julia Quick Syntax Reference
Author: Antonello Lobianco
language: en
Publisher: Springer Nature
Release Date: 2025-01-03
Learn the Julia programming language as quickly as possible. This book is a must-have reference guide that presents the essential Julia syntax in a well-organized format, updated with the latest features of Julia’s APIs, libraries, and packages. This book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. At a more applied level, you will learn how to use Julia packages for data analysis, numerical optimization, symbolic computation, and machine learning, and how to present your results in dynamic documents. The Second Edition delves deeper into modules, environments, and parallelism in Julia. It covers random numbers, reproducibility in stochastic computations, and adds a section on probabilistic analysis. Finally, it provides forward-thinking introductions to AI and machine learning workflows using BetaML, including regression, classification, clustering, and more, with practical exercises and solutions for self-learners. What You Will Learn Work with Julia types and the different containers for rapid development Use vectorized, classical loop-based code, logical operators, and blocks Explore Julia functions: arguments, return values, polymorphism, parameters, anonymous functions, and broadcasts Build custom structures in Julia Use C/C++, Python or R libraries in Julia and embed Julia in other code. Optimize performance with GPU programming, profiling and more. Manage, prepare, analyse and visualise your data with DataFrames and Plots Implement complete ML workflows with BetaML, from data coding to model evaluation, and more. Who This Book Is For Experienced programmers who are new to Julia, as well as data scientists who want to improve their analysis or try out machine learning algorithms with Julia.
HTML5 Quick Markup Reference
This book is a condensed reference for HTML5 markup. It presents the essential HTML5 elements and attributes in a well-organized format that can be used as a handy reference. HTML5 Quick Markup Reference is an HTML5 reference title covering tags and parameters central to HTML5 markup using the NetBeans 8.1 IDE. The book covers the tags used in HTML5, logically organized by topical chapters. It gets more advanced as chapters progress, covering the new media tags and file formats that are best for use with HTML5, as well as key factors regarding the data footprint optimization work process, in-lining .CSS and .JS files, and why data footprint optimization is important. What You Will Learn: The tags supported in HTML5 What comprises an HTML5 content production workflow Concepts and principles behind HTML5 content production How to install and utilize Inkscape for Windows, Mac OS X and Linux Concepts behind spline curves, strokes, fills, patterns, and rendering Digital illustration data formats and data footprint optimization Who This Book Is For: Website developers, Flash developers, user interface designers, HTML5 game designers, teachers, and educators.