WalBeh

#!/usr/bin/env uv python
"""
CrateDB Settings Extractor

This tool extracts settings from CrateDB's documentation and outputs them
in either JSON or Markdown format, or the SQL statements to set the default value.
It parses the HTML structure of the documentation to identify settings, their
descriptions, default values, and whether they're runtime configurable.

Author: wolta

codeinthehole

#!/usr/bin/env bash
# 
# Try and squash unstaged changes into existing branch commits.
#
# This command examines each unstaged file and attempts to create a fix-up
# commit to squash it into its natural parent in the current branch. 
#
# - If it's able to do this for all modified files, the fix-up files are
#   automatically squashed in.
#

tkurki

Using https://volkovlabs.io/plugins/volkovlabs-echarts-panel/ you can create a pretty nice graph showing both wind speed & direction.

hyperupcall

// I'm tired of extensions that automatically:
// - show welcome pages / walkthroughs
// - show release notes
// - send telemetry
// - recommend things
//
// This disables all of that stuff.
// If you have more config, leave a comment so I can add it!!

{

todbot

# synthio_midi_synth.py - pretty usable MIDI-controlled synth using synthio in CircuitPython
# 11 May 2023 - @todbot / Tod Kurt
# Uses cheapie PCM5102 DAC on QTPY RP2040
# Video demo: https://www.youtube.com/watch?v=N-PbbWWDE6k
# Features:
# - midi velocity controls attack rate (gentle press = slow, hard press = fast)
# - notes have small random detune on all oscillators to reduce phase stacking
# - adjustable number of detuned oscillators per note 1-5 (midi controller 83)
# - five selectable waveforms: saw, squ, sin, noisy sin, noise (midi controller 82)
# - vibrato depth on mod wheel (midi controller 1)

Suor

> Write a blog post about this code trick:

import logging
import os

from funcy import monkey

from django.db.models.query_utils import DeferredAttribute

scollis

import numpy as np
from netCDF4 import Dataset
import os
import datetime
import xarray as xr
import pandas as pd
import matplotlib.dates as mdates
import matplotlib.dates as mdates
from matplotlib import pyplot as plt
from matplotlib.colors import LogNorm

xylar

#!/usr/bin/env python
import argparse
import os
import shutil
import subprocess
import packaging.version
import grayskull.strategy
from importlib.resources import open_binary
import yaml

saul-data

import csv
import os
from io import StringIO
import pandas as pd

# Instructions for Dataplane data pipelines - https://dataplane.app

# Database credentials from Dataplane Secrets
pgUser = os.getenv("dp_secret_pg_user")
pgPassword = os.getenv("dp_secret_pg_password")

rsignell-usgs