Nix is a purely functional package manager
/nix folder in my dotfiles repo
this is how I utilize nix to have better management of initial setup in terms of both logically and performantely better
How I package Docker image using Nix
My first attempt to package with Nix for a Docker image with Dockerfile
| import subprocess | |
| import os | |
| from qutebrowser.api import interceptor | |
| """ | |
| qutebrowser settings for video | |
| for more settings check out | |
| https://qutebrowser.org/doc/help/settings.html | |
| """ |
| """""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""" | |
| " VIM SETTINGS | |
| """""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""" | |
| " TURNS LINE NUMBERING ON | |
| set nu | |
| " TRIGGER `autoread` WHEN FILES CHANGES ON DISK | |
| set autoread | |
| autocmd FocusGained,BufEnter,CursorHold,CursorHoldI * if mode() != 'c' | checktime | endif |
| Mute these words in your settings here: https://twitter.com/settings/muted_keywords | |
| ActivityTweet | |
| generic_activity_highlights | |
| generic_activity_momentsbreaking | |
| RankedOrganicTweet | |
| suggest_activity | |
| suggest_activity_feed | |
| suggest_activity_highlights | |
| suggest_activity_tweet |
| const bypass = [ | |
| // function names to avoid logging | |
| ]; | |
| const collapsed = [ | |
| // function names to groupCollapsed | |
| ]; | |
| module.exports = function(babel) { | |
| const { types: t } = babel; | |
| const wrapFunctionBody = babel.template(`{ |
Various search databases and backends as alternatives to Elasticsearch.
This is an introduction to working with nflscrapR data in Python. This is inspired by this guide by Ben Baldwin.
Using Jupyter Notebooks which come pre-installed with Anaconda is typically the best way to work with data in Python. This guide assumes you are using the Ananconda distribution and therefore already have the required packages installed. If you are not using the Anaconda distribution, install numpy, pandas, and matplotlib.
Once Anaconda has been downloaded and installed, open the Anaconda Navigator. Click launch on the Jupyter Notebook section which will open in your browser.
There are a couple ways to get nflscrapR data. While you don't necessarily need R for historical data, it is necessary for getting data that has not been uploaded to github. My preferred process is to get data u
| // I did this in Chrome... | |
| // | |
| // Go to https://www.facebook.com/ads/preferences/ | |
| // Click the "Advertisers" section to open it up. | |
| // Click "See more" once | |
| // Before doing anything else, just keep clicking space bar to trigger the "see more" button | |
| // Do this for a bit until all the advertisers are loaded | |
| // then run this below in the dev tools console... | |
| // (It will take a few minutes, depending how many you have, and your browser may lock up, but once it's done you will see it auto clicked the "remove" X in the top right for all of them) |
