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

# exports
set -a PATH $HOME/bin
set -x EDITOR "vim"
set -x PAGER "less"
set -x WINEARCH "win32"
# set -x CHROME_BIN "/usr/bin/chromium"
# set -x wiki_browser "epiphany"
set -x LESS "--tabs=4 -RFX"

radupotop

# 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")

radupotop

#!/bin/bash

WINDOW_SIZE="2560x1440"
CWD="$*"

Xephyr -br -ac -noreset -screen $WINDOW_SIZE :9 &
DISPLAY=:9 xfwm4 &
sleep 1
DISPLAY=:9 lxpanel &
DISPLAY=:9 pcmanfm --desktop &

radupotop

import csv
import sys

def print_dict_as_csv(dict_data):
    if not dict_data:
        print("The dictionary is empty.")
        return

    # Get the fieldnames from the keys of the first dictionary
    fieldnames = dict_data[0].keys()

radupotop

User-agent: *
Disallow: /action
Disallow: /help
Disallow: /search
Allow: /action/showJournal
Allow: /action/showPublications

User-agent: facebookexternalhit
User-agent: LinkedInBot
User-agent: Twitterbot