Based on our record, Shiny should be more popular than Loom. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Telling somebody, “I want to work for you” is only as good as the reasons you give them. If you show them that you can identify value that they need created and can create it, you take a lot of that work off of their plate. Loom is a good tool for walking people through what you can create. Source: 12 months ago
Async meetings are pretty great), http://loom.com is pretty great. (don't work there, not even a paying customer, but even then it's transformed the way I work.). - Source: Hacker News / about 1 year ago
While not animation software, both loom.com and scribehow.com are a version of this. Loom is pure video and audio, Scribe is a combo of screenshots and written steps. It 'watches' what you do, then makes an instructional guide that can be edited later. Source: about 1 year ago
I'm not on mac, so I use loom.com as an alternative to screen.studio 😉. Source: about 1 year ago
So, is loom.com the sister company of noom.com? I'm afraid to click the link, as I might go to hell. 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 / 2 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 / 9 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: about 1 year ago
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