| .theme-dark { | |
| --dataview-key: #ffc94a; | |
| --dataview-value: #ffffff; | |
| } | |
| .theme-light { | |
| --dataview-key: #000; | |
| --dataview-value: #000; | |
| } |
| <%* | |
| //v1.4: Adding option for including a header for each DNP day to fold | |
| //'first' will add to top of file. 'last' will add to bottom of file | |
| let firstOrLastLine = 'first'; | |
| //Name of the Quick Capture file. Do NOT include extension '.md' | |
| let qcFileName = 'Quick Capture'; | |
| //Leave this blank if you want to use the default file path location (set to '/' to use root of vault) |
This is a cheat sheet for how to perform various actions to ZSH, which can be tricky to find on the web as the syntax is not intuitive and it is generally not very well-documented.
| Description | Syntax |
|---|---|
| Get the length of a string | ${#VARNAME} |
| Get a single character | ${VARNAME[index]} |
| #!/usr/bin/env python | |
| # coding=utf-8 | |
| """Spatio-temporal maps of evoked activity.""" | |
| # ============================================================================== | |
| # title : run_spatio_temporal_maps.py | |
| # description : Plot spatiotemporal maps of Antoine Rémond (60ies). | |
| # authors : Guillaume Dumas | |
| # date : 2020-02-25 | |
| # usage : python run_spatio_temporal_maps.py |
| library(tidyverse) | |
| lights_dat <- read_csv("https://ckan.dataplatform.nl/dataset/83402c68-1c05-4aa5-ab28-2e99d2bc2261/resource/dc10e0ac-351a-49b6-b3db-d0152c29dc02/download/paal-20180906.csv") | |
| pp <- | |
| lights_dat %>% | |
| filter(latitude > 50) %>% | |
| ggplot(aes(x = longitude, y = latitude)) + | |
| geom_point(alpha = 0.03, fill = "#FAFAAB", stroke = 0, pch = 21, size = 1.6) + | |
| geom_point(alpha = 0.8, fill = "#FAFAAB", stroke = 0, pch = 21, size = 0.2) + |
This is a quick Python script I wrote to download HumbleBundle books in batch. I bought the amazing Machine Learning by O'Reilly bundle. There were 15 books to download, with 3 different file formats per book. So I scratched a quick script to download all of them in batch.
(Final Result: books downloaded)
| [ | |
| { | |
| "name": "Sci-Hub Lookup", | |
| "alias": "Sci-Hub", | |
| "icon": "null", | |
| "_urlTemplate": "https://sci-hub.tw/{z:DOI}", | |
| "description": "Sci-Hub full text PDF search", | |
| "hidden": false, | |
| "_urlParams": [], | |
| "_urlNamespaces": { |
i3-gaps has some packages that are required for it to work so install these things:
sudo apt install libxcb1-dev libxcb-keysyms1-dev libpango1.0-dev libxcb-util0-dev libxcb-icccm4-dev libyajl-dev libstartup-notification0-dev libxcb-randr0-dev libev-dev libxcb-cursor-dev libxcb-xinerama0-dev libxcb-xkb-dev libxkbcommon-dev libxkbcommon-x11-dev autoconf xutils-dev libtool automake
You also need to install libxcb-xrm-dev, but I got Unable to locate package libxcb-xrm-dev when trying to install from the apt repositories on Ubuntu 16.04. If this happens to you, just install it from source using these commands:
mkdir tmp
| ## GOAL: | |
| ## re-create a figure similar to Fig. 2 in Wilson et al. (2018), | |
| ## Nature 554: 183-188. Available from: | |
| ## https://www.nature.com/articles/nature25479#s1 | |
| ## | |
| ## combines a boxplot (or violin) with the raw data, by splitting each | |
| ## category location in two (box on left, raw data on right) | |
| # initial set-up ---------------------------------------------------------- |