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Data visualization libraries Plotly.js is an open-source JavaScript library for creating graphs and powers Plotly.py for Python, as well as Plotly.R for R, MATLAB, Node.js, Julia, and Arduino and a REST API.
Mako [19] — a template library written in Python, usable with a simple CherryPy tool. [20] Cheetah — an open source template engine and code generation tool, written in Python. CherryTemplate — a templating language for CherryPy. Genshi [21] [22] — a powerful XML templating language. Jinja — a general purpose templating language ...
But as a JavaScript developer, you would know this theory doesn't hold long after you start working with dates for real. On top of different date-time formats, you have to consider timezone and ...
Recognizing this, the developers made huge improvements in the documentation for the 1.8 release, including new tutorials, an API browser, filling in the missing pieces, and updating most examples to AMD style. [15] [16] A number of books have been written about Dojo, but all based upon Dojo 1.3 or earlier, now several years out of date.
D3.js (also known as D3, short for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. It makes use of Scalable Vector Graphics (SVG), HTML5 , and Cascading Style Sheets (CSS) standards.
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Codecademy is an American online interactive platform that offers free coding classes in 13 different programming languages including Python, Java, Go, JavaScript, Ruby, SQL, C++, C#, Lua, and Swift, as well as markup languages HTML and CSS.
They are also typically sandboxed, and JavaScript was designed with Java's syntax and standard library in mind. In particular, all Java keywords were reserved in original JavaScript, JavaScript's standard library follows Java's naming conventions, and JavaScript's Math and Date objects are based on classes from Java 1.0. [109]