Search Results for "learning language"

Less (which stands for Leaner Style Sheets) is a backwards-compatible language extension for CSS. This is the official documentation for Less, the language and Less.js, the JavaScript tool that converts your Less styles to CSS styles. Because Less looks just like CSS, learning it is a breeze. Less only makes a few convenient additions to the CSS language, which is one of the reasons it can be learned so quickly.

jk is pre-1.0, and as such, features, commands, and APIs inevitably will change. jk is a data templating tool designed to help write structured configuration files. The main idea behind jk is to use a general-purpose language for this task. They offer mature tooling, great runtimes, a well-established ecosystem, and many learning resources. jk uses Javascript and a runtime tailored for configuration.

This is a modified version of the CRC algorithms by Lammert Bies. It supports more algorithms and has been ported to several languages. It's also useful for learning how to do hexadecimal calculations and bitwise operations in various programming languages. Disclaimer: These test programs demonstrate the calculation of CRC. I made these translation with a basic knowledge of each language. They may or may not be appropriately formatted / secured / robustified / idiot proofed or any similar programming issues.

unfluff is a Node.js library designed to automatically extract the main content from an HTML document — stripping away navigation bars, ads, footers and other boilerplate to leave you with the “body content”, metadata (title, author, date) and other useful fields. It’s a tool very much aimed at content-analysis, web scraping, building datasets, or repurposing article text for downstream processing (like machine-learning or summarization). The API is simple: you feed in raw HTML and it returns a structured object with the extracted text and other fields. It supports caching internal representations to speed up repeated extractions. While its language support is best for English, it is still widely used in web-content-processing pipelines. The repository notes some limitations (e.g., languages like Chinese/Arabic/Korean may not be well-supported). ...

A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated.

Learning JavaScript Design Patterns is released under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 unported license. It is available for purchase via O'Reilly Media but will remain available for both free online and as a physical (or eBook) purchase for readers wishing to support the project. This edition was updated to ES2015+ syntax in 2021.

This is a semantic markup language for creating structured learning objects based on instructional design principles. The markup language includes a set of schema files that can be used for authoring content and supports SCORM outputs.

LearnML is a XML based markup language to put learning materials in the web. Based on a simple syntax, LearnML documents can be transformed to any kind of web page (HTML, XHTML) or (printable) PDF document.

ddreditor (Digital Didatic Resource Editor) is a editor of Digital Didatic Resources (learning objects and more). It is implemented using Python and it´s GTK bindings and uses a docbook substed as it´s markup language.