textadventures.co.uk VS Shiny

Although I've been a fan of playing Text Adventures since I was a youngen, I've never dabbled in trying to create one of my own before. Recently I've been teaching myself how to use Quest 5 to create my own sci-fi adventure that's set on an abandoned spaceship. Stereotypical concept granted but I'm fascinated with most things sci-fi. I've just uploaded a demo onto textadventures.co.uk and would love any feedback... Source: over 1 year ago

I think Quest (the program available at textadventures.co.uk) works that way, inserting objects, descriptions and connections through a menu with no coding. It doesn't have the flexibility of Inform, TADS, etc., but it might a good option for what you're looking for. Source: over 1 year ago

And, just for fun, here's a piece of free gaming software: Quest, a little program that lets you make your own old-school text based adventure games. Source: over 1 year ago

And I'm pretty sure there's a ton out there. Http://textadventures.co.uk/. Source: over 1 year ago

You may also play the game at textadventures.co.uk by going to this link: http://textadventures.co.uk/games/view/mieqf0ssskw-ecq102rfag/living-a-lie. Source: over 1 year ago

A lighterweight alternative to renv is to use Posit Public Package Manage (https://packagemanager.posit.co/) with a pinned date. That doesn't help if you're installing packages from a mix of places, but if you're only using CRAN packages it lets you get everything as of a fixed date. And of course on the web side you have shiny (https://shiny.posit.co), which now also comes in a python flavour. - Source: Hacker News / 3 months ago

Sometimes the war is lost even before the battle begins. During grad school, I wrote a whole bunch of web apps entirely in R using Shiny. It was clunky as hell, but yeah, it worked. I went looking for what's up with Shiny these days and found this - https://shiny.posit.co/ So yeah, full on pivot into python. Pip install shiny. Alright! "No web development skills required. Develop web apps entirely in R I mean... - Source: Hacker News / 10 months ago

Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago

We work along side bio-statisticians and data analysts, from my experience in this world I recommend to build some plots/graphs in R based on some information you find appealing. After you have some work to show off to potential employers , learn Shiny and publish those graphs online as your portfolio. Source: about 1 year ago

One of the most difficult yet most fun projects I’ve done. Using Shiny to make an app, all coded in R! Source: over 1 year ago