| javascript: Promise.all([import('https://unpkg.com/[email protected]?module'), import('https://unpkg.com/@tehshrike/[email protected]'), ]).then(async ([{ | |
| default: Turndown | |
| }, { | |
| default: Readability | |
| }]) => { | |
| /* Optional vault name */ | |
| const vault = ""; | |
| /* Optional folder name such as "Clippings/" */ |
Move the right sidebar toggle to a button in the upper right icon tray.
You can add this to Roam using {{[[roam/js]]}}
Grab the code in roam-sidebar-toggle.js and drop it in a javascript code block, nested underneath a {{[[roam/js]]}} block:
```javascript```
| // Roam42 is a prerequisite for this code, as it uses Roam42 libraries | |
| // Install & Config: | |
| // Add the code in this gist to a roam/js block in your roam graph and enable it | |
| // change the text between quotes "" where it says let txt = "....." | |
| // You can change the custom keys where it says hotkeys('ctrl+shift+7) | |
| // this uses the hotkeys library, so explore more key combinations at: https://wangchujiang.com/hotkeys/ | |
| // after changing the text below, you may have to refresh Roam for it to take effect. | |
| setTimeout(()=>{ | |
| Mousetrap.unbind('ctrl+shift+7') |
--> A beginner's guide to nflfastR <--
I get a lot of questions about how to get nflscrapR up and running. This guide is intended to help new users build interesting tables or charts from the ground up, taking the raw nflscrapR data.
Quick word if you're new to programming: all of this is happening in R. Obviously, you need to install R on your computer to do any of this. Make sure you save what you're doing in a script (in R, File --> New script) so you can save your work and run multiple lines of code at once. To run code from a script, highlight what you want, right click, and select Run line. As you go through your R journey, you might get stuck and have to google a bunch of things, but that's totally okay and normal. That's how I wrote this thing!
The R package XML for parsing and manipulation of XML documents in R is not actively maintained anymore, but used by many:
The R package xml2 is an actively maintained, more recent alternative.
This file documents useful resources and steps for moving from XML to xml2.
| #!/bin/bash | |
| # | |
| # This script traverses all commits of a git repository in the current directory | |
| # and counts the number of words that are changed, i.e. added or deleted for all | |
| # TeX files. The output contains a time-stamp (YYYY-MM-DD). Next, there are some | |
| # counts, viz. the number of added, deleted, and total words. | |
| # | |
| # You can use `gnuplot`, for example, to create nice visualizations from the raw | |
| # data. For this, it may be useful to specify the first column as a date column: | |
| # |
Python syntax here : 2.7 - online REPL
Javascript ES6 via Babel transpilation - online REPL
import math
| library(shiny) | |
| library(ggplot2) | |
| # Get the current day of the month | |
| dom <- 25 | |
| # Define the target for salespeople in our organization. | |
| salesTarget <- 15000 | |
| # Set the seed so we always get the same data. |