radupotop

# https://docs.astral.sh/ruff/settings/
#
# extend = "../pyproject.toml"
line-length = 90

[lint]
select = ["E", "F"]  # Pyflakes and pycodestyle
ignore = ["E501"]    # Allow long lines
unfixable = ["F401"] # Allow unused imports

radupotop

// Zed settings
//
// For information on how to configure Zed, see the Zed
// documentation: https://zed.dev/docs/configuring-zed
//
// To see all of Zed's default settings without changing your
// custom settings, run the `open default settings` command
// from the command palette or from `Zed` application menu.
{
  "icon_theme": "Material Icon Theme",

radupotop

{
  "name": "New One",
  "author": "Zed Industries",
  "themes": [
    {
      "name": "New One",
      "appearance": "dark",
      "style": {
        "border": "#464b57ff",
        "border.variant": "#363c46ff",

radupotop

# File: /etc/systemd/system/[email protected]
#
# Valid arg values are: performance, balance-performance, normal, balance-power, power
#

[Unit]
Description=Set x86_energy_perf_policy %i

[Service]
Type=oneshot

radupotop

# vim: filetype=sh

# set path
set -l path_array $HOME/bin $HOME/.cargo/bin $HOME/.local/bin
if not contains $path_array[1] $PATH
    set -a PATH $path_array
end

# exports
set -x EDITOR "vim"

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# Personal user
[user]
	name = Your Name
	email = [email protected]
	# signingkey = xxxxxxxxxxx
	editor = vim
# Work user
[includeIf "gitdir:~/Work/"]
	path = .gitconfig-work
[core]

radupotop

#!/usr/bin/env python3

import argparse
from email import policy
from email.parser import BytesParser
from email.utils import parsedate_to_datetime
from pathlib import Path
from typing import Iterable
from zoneinfo import ZoneInfo

radupotop

import pandas as pd

# Create sample data
data = {
    'Name': ['John', 'Emma', 'Alex', 'Sarah', 'Mike'],
    'Age': [28, 24, 32, 27, 30],
    'City': ['New York', 'London', 'Paris', 'Tokyo', 'Berlin'],
    'Salary': [75000, 65000, 85000, 70000, 80000],
    'Department': ['IT', 'HR', 'Finance', 'Marketing', 'IT'],
    'Date_Joined': ['2020-01-15', '2019-08-22', '2021-03-10', '2020-11-30', '2018-05-14'],

radupotop

import folium
import pandas as pd
from folium.plugins import MarkerCluster

# Load the CSV file into a Pandas DataFrame
csv_file = 'sl4.csv'  # Replace with your CSV file path
data = pd.read_csv(csv_file)

# Initialize a Folium map centered on the average latitude and longitude
average_latitude = data['latitude'].mean()

radupotop

import json
from operator import attrgetter

import pyalpm

handle = pyalpm.Handle("/", "/var/lib/pacman")
db = handle.get_localdb()

getpkgdata = attrgetter("name", "version")