First of all, this document is just a recompilation of different resources that already existed on the web previously that I personally tested some ones did work and other not. I liked the idea to make a full guide from start to end so all of you could also enjoy playing with cool-retro-term on windows 10. Personally I installed it on a windows 10 pro version. Fingers crossed!
{ config, pkgs, lib, ... }: | |
{ | |
imports = [ | |
<nixpkgs/nixos/modules/virtualisation/linode-image.nix> | |
]; | |
services.nextcloud = { | |
enable = true; | |
package = pkgs.nextcloud27; |
#! /bin/bash | |
# This script will export the json contents of an Azure Search instance into a JSON array. | |
# The script creates local files under the directory it is executed. The result is saved to a newly created local file. | |
# The script depends on `curl` and `jq` utilities. | |
# Arguments: $1 : azure search service name, $2: azure search index name, $3: azure search admin auth key. | |
set -e -o pipefail | |
serviceName="$1" |
A fully fonctional and good-looking linux for less than 256mb of ram
#!/usr/bin/python3 | |
""" | |
Copyright 2021 Mygod | |
Licensed under the Apache License, Version 2.0 (the "License"); | |
you may not use this file except in compliance with the License. | |
You may obtain a copy of the License at | |
http://www.apache.org/licenses/LICENSE-2.0 |
# Makefile for transpiling with Babel in a Node app, or in a client- or | |
# server-side shared library. | |
.PHONY: all clean | |
# Install `babel-cli` in a project to get the transpiler. | |
babel := node_modules/.bin/babel | |
# Identify modules to be transpiled by recursively searching the `src/` | |
# directory. |
I recently had several days of extremely frustrating experiences with service workers. Here are a few things I've since learned which would have made my life much easier but which isn't particularly obvious from most of the blog posts and videos I've seen.
I'll add to this list over time – suggested additions welcome in the comments or via twitter.com/rich_harris.
Chrome 51 has some pretty wild behaviour related to console.log
in service workers. Canary doesn't, and it has a load of really good service worker related stuff in devtools.
The dplyr
package in R makes data wrangling significantly easier.
The beauty of dplyr
is that, by design, the options available are limited.
Specifically, a set of key verbs form the core of the package.
Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe.
Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R.
The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas
package).
dplyr is organised around six key verbs:
ffmpeg -i "https://content.jwplatform.com/manifests/Wqyolfwt.m3u8" -c copy -bsf:a aac_adtstoasc video.mp4 |
Magic words:
psql -U postgres
Some interesting flags (to see all, use -h
or --help
depending on your psql version):
-E
: will describe the underlaying queries of the\
commands (cool for learning!)-l
: psql will list all databases and then exit (useful if the user you connect with doesn't has a default database, like at AWS RDS)