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Typst is a new markup-based typesetting system that is designed to be as powerful as LaTeX while being much easier to learn and use. Typst supercharges templates: They react to your content and format everything instantly while you type. Select from a wide range of community templates or create your own. Store shared documents in team workspaces to bring everyone in your working group on the same page. Whether in the classroom, the faculty office, or at home. Typst runs in your browser, so...

...This can make it more challenging to learn and use Rust libraries that heavily rely on Rust's unique features and syntax.

Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic...

A free, open-source typing tutor for the terminal. Progressive lessons, practice modes, real-time stats, and a virtual keyboard with finger hints — for QWERTY, Dvorak, and Colemak. Methodology Research on typing skill suggests that skilled typing relies more on implicit procedural control than on explicit knowledge of key locations. The paper also suggests that the keyboard is represented in terms of its row-and-column structure, not as a memorized list of individual...

ModelFox makes it easy to train, deploy, and monitor machine learning models. Train a model from a CSV file on the command line. Make predictions from Elixir, Go, JavaScript, PHP, Python, Ruby, or Rust. Learn about your models and monitor them in production from your browser. ModelFox makes it easy to train, deploy, and monitor machine learning models. You can install the modelfox CLI by either downloading the binary from the latest GitHub release or by building from source. Train a machine learning model by running modelfox train with the path to a CSV file and the name of the column you want to predict. ...