Displaying 1 to 6 from 6 results

factor - Factor programming language - GitHub mirror of official GIT repo

  •    Factor

Factor is a concatenative, stack-based programming language with high-level features including dynamic types, extensible syntax, macros, and garbage collection. On a practical side, Factor has a full-featured library, supports many different platforms, and has been extensively documented. The implementation is fully compiled for performance, while still supporting interactive development. Factor applications are portable between all common platforms. Factor can deploy stand-alone applications on all platforms. Full source code for the Factor project is available under a BSD license.

forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)

  •    R

R uses factors to handle categorical variables, variables that have a fixed and known set of possible values. Historically, factors were much easier to work with than character vectors, so many base R functions automatically convert character vectors to factors. (For historical context, I recommend stringsAsFactors: An unauthorized biography by Roger Peng, and stringsAsFactors = <sigh> by Thomas Lumley. If you want to learn more about other approaches to working with factors and categorical data, I recommend Wrangling categorical data in R, by Amelia McNamara and Nicholas Horton.) These days, making factors automatically is no longer so helpful, so packages in the tidyverse never create them automatically. However, factors are still useful when you have true categorical data, and when you want to override the ordering of character vectors to improve display. The goal of the forcats package is to provide a suite of useful tools that solve common problems with factors. If you’re not familiar with strings, the best place to start is the chapter on factors in R for Data Science.

dotenv-parse-variables - Parse dotenv files for Boolean, Array, and Number variable types, built for Lad

  •    Javascript

Parse dotenv files for Boolean, Array, and Number variable types, built for CrocodileJS.After using this plugin, the environment variables are parsed to their proper types.

ftools - Fast Stata commands for large datasets

  •    Stata

ftools can also be used to speed up your own commands. For more information, see this presentation from the 2017 Stata Conference (slides 14 and 15 show how to create faster alternatives to unique and xmiss with only a couple lines of code). Also, see help ftools for the detailed documentation.

to-px - Convert any CSS unit to logical pixels (aka "px")

  •    Javascript

Get the scale factor to convert any CSS unit to px (logical pixel units). Note that this module only works within the DOM.

py-factorgraph - Factor graphs and loopy belief propagation implemented in Python

  •    Python

This is a tiny python library that allows you to build factor graphs and run the (loopy) belief propagation algorithm with ease. It depends only on numpy. You can use factorgraph-viz to visualize factor graphs interactively in your web browser.