// create a bookmark and use this code as the URL, you can now toggle the css on/off | |
// thanks+credit: https://dev.to/gajus/my-favorite-css-hack-32g3 | |
javascript: (function() { | |
var styleEl = document.getElementById('css-layout-hack'); | |
if (styleEl) { | |
styleEl.remove(); | |
return; | |
} | |
styleEl = document.createElement('style'); | |
styleEl.id = 'css-layout-hack'; |
// create a bookmark and use this code as the URL, you can now toggle the css on/off | |
// thanks+credit: https://dev.to/gajus/my-favorite-css-hack-32g3 | |
javascript: (function() { | |
var elements = document.body.getElementsByTagName('*'); | |
var items = []; | |
for (var i = 0; i < elements.length; i++) { | |
if (elements[i].innerHTML.indexOf('* { background:#000!important;color:#0f0!important;outline:solid #f00 1px!important; background-color: rgba(255,0,0,.2) !important; }') != -1) { | |
items.push(elements[i]); | |
} | |
} |
The following instructions describe a set of processes allowing you to run Django database migrations against a production database without having to bring the web service down.
Note that in the below instructions, migrations are all run manually at explicit points, and are not an automatic part of the deployment process.
- Make the model or column addition in your code.
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
- By Edmond Lau
- Highly Recommended 👍
- http://www.theeffectiveengineer.com/
Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...
// see: https://github.com/chadoe/docker-cleanup-volumes
$ docker volume rm $(docker volume ls -qf dangling=true)
$ docker volume ls -qf dangling=true | xargs -r docker volume rm
Spark
If you have (larger-than-memory) petabytes of JSON/XML/CSV files, a simple workflow, and a thousand node cluster
Dask
If you have (larger-than-memory) 10s-1000s of gigabytes of binary or numeric data (e.g., HDF5, netCDF4, CSV.gz), complex algorithms, and a (single) large multi-core workstation
git branch -m old_branch new_branch # Rename branch locally | |
git push origin :old_branch # Delete the old branch | |
git push --set-upstream origin new_branch # Push the new branch, set local branch to track the new remote |
# -*- coding: utf-8 -*- | |
from django.contrib.auth.decorators import login_required | |
from django.utils.cache import patch_response_headers | |
from django.utils.decorators import method_decorator | |
from django.views.decorators.cache import cache_page, never_cache | |
from django.views.decorators.csrf import csrf_exempt | |
class NeverCacheMixin(object): | |
@method_decorator(never_cache) |