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Single-line comments are started with
//
. Multi-line comments are started with/*
and ended with*/
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C# uses braces (
{
and}
) instead of indentation to organize code into blocks. If a block is a single line, the braces can be omitted. For example,
export PGPORT ?= 4488 | |
PG_PATH ?= $(shell if test -d /usr/lib/postgresql/9.1; then echo /usr/lib/postgresql/9.1; else echo /usr/lib/postgresql/8.4; fi) | |
PG_DIR = ${PWD}/instance/var | |
PG_DATA = ${PG_DIR}/data | |
PG_RUN = ${PG_DIR}/run | |
PG_LOG = ${PG_DIR}/log | |
PG_SOCKET = ${PG_RUN}/.s.PGSQL.${PGPORT} | |
PGPARAMS = -D ${PG_DATA} -o "-F -c unix_socket_directory=${PG_RUN} -c custom_variable_classes='busy' -c busy.active_user=0" -l ${PG_LOG}/pg.log | |
When hosting our web applications, we often have one public IP
address (i.e., an IP address visible to the outside world)
using which we want to host multiple web apps. For example, one
may wants to host three different web apps respectively for
example1.com
, example2.com
, and example1.com/images
on
the same machine using a single IP address.
How can we do that? Well, the good news is Internet browsers
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)
ffmpeg -i "https://content.jwplatform.com/manifests/Wqyolfwt.m3u8" -c copy -bsf:a aac_adtstoasc video.mp4 |
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:
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.
# 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. |
#!/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 |
A fully fonctional and good-looking linux for less than 256mb of ram