First you need to install pandoc.
I used brew install pandoc to install via Homebrew since I'm on a mac.
Make a slides.md for your slides (or name it whatever you want!). I put images in an /images/ folder. You can see how links and images and all of that work from this sample:
| function onOpen() { | |
| const ui = SpreadsheetApp.getUi(); | |
| // Adds a custom menu to the Google Sheets UI | |
| ui.createMenu('Checking helper') | |
| .addItem('Create Sample', 'showStratificationPrompt') | |
| .addToUi(); | |
| } | |
| function showStratificationPrompt() { | |
| const ui = SpreadsheetApp.getUi(); |
| import matplotlib.font_manager | |
| from IPython.core.display import HTML | |
| def make_html(fontname): | |
| return "<p>{font}: <span style='font-family:{font}; font-size: 24px;'>{font}</p>".format(font=fontname) | |
| code = "\n".join([make_html(font) for font in sorted(set([f.name for f in matplotlib.font_manager.fontManager.ttflist]))]) | |
| HTML("<div style='column-count: 2;'>{}</div>".format(code)) |
This walkthrough uses Homework 5: Question 10 as a base, but if you're just a random person from the internet it might still make sense
Let's say we do the totally normal height = and width = thing, and the totally normal svg = d3.select thing.
var height = 400
var width = 400Let's do some fun stuff on the command line! This is a lot of "figuring out what to do" as opposed to "applying skills we learned in class." It will definitely make you feel uncomfortable and like you don't know anything, but that's okay!
Do these in any order you want. Be sure to check out the very last one, it's crazy.
A general tip: When you're searching around on the internet, pip install has a hundred ways of being talked about. python3 -m pip install and pipx install and pip3 install anything that vaguely looks like that can probably just be substituted with pip install.
ChatGPT can be really helpful for figuring out the specific command-line flags and arguments you need to get your CLI tools operating how you want them to. Unless you're using ffmpeg and convert every day of your life, memorizing exactly how these command-line tools work is prrrrrobably not the best use of your brainpower.
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <title>The Bad Air Website</title> | |
| <style> | |
| body { | |
| margin: 0; | |
| background-color: aliceblue; | |
| } |
You need to already have Jupyter installed! If you don't have Python+Jupyter set up, you could use Python Wrangler or you can honestly just go install Anaconda to get started more quickly.
You can find it at https://cloud.r-project.org. It’s hard to figure out where exactly to go, so here are direct links that might be out of date:
| ### MATPLOTLIBRC FORMAT | |
| # This is a sample matplotlib configuration file - you can find a copy | |
| # of it on your system in | |
| # site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it | |
| # there, please note that it will be overwritten in your next install. | |
| # If you want to keep a permanent local copy that will not be | |
| # overwritten, place it in the following location: | |
| # unix/linux: | |
| # $HOME/.config/matplotlib/matplotlibrc or |