Install dependencies - pip install fastapi 'uvicorn[standard]'
Run the example - uvicorn main:app --host 0.0.0.0 --port 8000
Access multiple pages from http://localhost:8000/ and send messages
main.py
Install dependencies - pip install fastapi 'uvicorn[standard]'
Run the example - uvicorn main:app --host 0.0.0.0 --port 8000
Access multiple pages from http://localhost:8000/ and send messages
main.py
| { config, pkgs, modulesPath, lib, system, ... }: | |
| { | |
| imports = [ | |
| (modulesPath + "/profiles/qemu-guest.nix") | |
| ]; | |
| config = { | |
| #Provide a default hostname | |
| networking.hostName = lib.mkDefault "base"; |
| #! /usr/bin/env python3 | |
| """ | |
| List all Firefox tabs with title and URL | |
| Supported input: json or jsonlz4 recovery files | |
| Default output: title (URL) | |
| Output format can be specified as argument | |
| """ |
| #!/usr/bin/env /bin/bash | |
| ## | |
| # dd_parallel.sh | |
| # Low-level IO to disks using 'dd' in parallel. | |
| # ref: https://unix.stackexchange.com/a/160526/217521 | |
| ## | |
| usage() { | |
| echo "Usage: $0 -i <input_file> -o <output_file> -b <block_size:512000B> -c <count:1000> -s <status:progress>" |
cloud-init allows customising and configuring deployed server instances on most popular cloud service providers easily without requiring the use of other related tools like Ansible. Since cloud-init is such a reliable tool, this brief write-up will document the exact steps and procedures to install and setup PostgreSQL on a Debian 12 (Bookworm) server instance.
wget -qO- https://www.postgresql.org/media/keys/ACCC4CF8.asc \
| gpg --with-fingerprint --with-colons \
| awk -F: '/^fpr/ { print $10 }'| import boto3, json, os, shutil, subprocess | |
| from argparse import ArgumentParser | |
| """ | |
| Big Chalice Deployer deployes Chalice Apps using the "chalice package ..." command and | |
| modifies the resulting sam.json template to make use of the Docker deployment process | |
| instead of the default, s3 based, process. Additionally, the ability to delete the | |
| resulting SAM App is available via the CLI. | |
| Usage: |
| #!/usr/bin/env python | |
| import requests | |
| import json | |
| import argparse | |
| import configparser | |
| from pathlib import Path | |
| class AWSConfig: | |
| def __init__(self): |
| def get_best(file): | |
| words = list() | |
| with open(file, 'r') as f: | |
| bf = json.load(f) | |
| sbf = sorted(bf.items(), key=itemgetter(1), reverse=True) | |
| sbf = [bb[0] for bb in sbf] | |
| return sbf[0:int(len(sbf)/2.0)] # chooses the top half |
| import numpy as np | |
| from tweepy import API, OAuthHandler | |
| import json | |
| auth = OAuthHandler(consumer_key, consumer_secret) # Connect to twitter via oAuth | |
| auth.set_access_token(access_token, access_token_secret) | |
| api = API(auth) | |
| def get_haikus(api): |
| def haiku(sdict): | |
| sdict = dict([(sk, sv) for sk, sv in sdict.items() if len(sk) >= 3]) | |
| first_5 = choose_words(sdict, 5, 0) | |
| seven = choose_words(sdict, 7, 1) | |
| sec_5 = choose_words(sdict, 5, 2) | |
| first_line = ' '.join(first_5) | |
| second_line = ' '.join(seven) | |
| third_line = ' '.join(sec_5) | |
| hai = ', '.join([first_line, second_line, third_line]) | |
| with open('haiku.txt', 'a+') as h: |