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
#! /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 | |
""" |
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"; |
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 }'
""" | |
[Blender and Python] Generating a procedural solar system with Blender's Python API | |
Mina Pêcheux - August 2021 | |
Email: [email protected] | |
A very basic Blender script that creates a simplified solar system with a few | |
planets around a sun, adds shaders computed on-the-fly and sets various animation | |
curves on the objects to get random revolution speeds. | |
This code is a simple example of how to instantiate objects for |
# revert the order of a dataframe | |
from pyspark.sql import SparkSession | |
import pyspark.sql.functions as f | |
# create spark session | |
spark = SparkSession.builder.appName('some name').getOrCreate() | |
# create a frame | |
df = spark.createDataFrame([('a',12), ('c',10), ('b',9)], ['col1', 'col2']) | |
df.show() |
import mlflow | |
# There are two ways to create parent/child runs in MLflow. | |
# (1) The most common way is to use the fluent | |
# mlflow.start_run API, passing nested=True: | |
with mlflow.start_run(): | |
num_trials = 10 | |
mlflow.log_param("num_trials", num_trials) | |
best_loss = 1e100 |
import fiona | |
import geopandas as gpd | |
# Enable fiona driver | |
gpd.io.file.fiona.drvsupport.supported_drivers['KML'] = 'rw' | |
# Read file | |
df = gpd.read_file(path, driver='KML') | |
# Write file |
#! /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 | |
""" |