Reference library

Automation & scripting

CLI tools, scheduled jobs, filesystem tasks, and glue scripts that save time.

4 matches
Automation & scripting easy

Automatically Generate Hardware Inventory Reports in Python

Generate a system hardware report including OS version, CPU cores, RAM, and disk usage using platform and psutil.

hardware inventory psutil
Python
import platform
import psutil  # requires: pip install psutil
from datetime import datetime

def generate_hardware_report():
    report_lines = []
    report_lines.append(f"Report Generated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
    report_lines.append(f"System: {platform.system()} {platform.release()} ({pl…
55 0 Open
Automation & scripting easy

Automatically Log CPU, RAM, and Disk Usage Every Minute in Python

This script logs CPU, RAM, and disk usage to a CSV file every 60 seconds using psutil and Python's standard library.

psutil automation monitoring
Python
import psutil
import time
import csv
from pathlib import Path

LOG_FILE = Path("system_usage_log.csv")
INTERVAL_SECONDS = 60

def log_system_usage():
    """Write CPU, RAM, and disk usage to CSV every minute."""
    file_exists = LOG_FILE.exists()
    with open(LOG_FILE, mode="a", newline="") as f:
        writer = cs…
50 0 Open
Automation & scripting medium

Build a Terminal Dashboard That Displays Real-Time System Performance in Python

A Python script that reads Linux system files to display a real-time terminal dashboard with CPU usage, memory usage, and CPU temperature.

linux system-monitoring terminal
Python
import os, time, sys
from collections import deque

def get_cpu_temp():
    try:
        with open("/sys/class/thermal/thermal_zone0/temp") as f:
            return round(int(f.read().strip()) / 1000, 1)
    except:
        return None

def get_mem_usage():
    with open("/proc/meminfo") as f:
        lines = f.readli…
42 0 Open
Automation & scripting easy

Stress CPU Threads with a Mock Compute in Python

Simulates CPU-intensive work across multiple threads to test how Python schedules parallel compute.

threading cpu-stress parallelism
Python
import threading
import time


def stress_cpu(iterations: int):
    result = 0
    for i in range(iterations):
        result += i * i % 1000
    return result


def run_mock_stress(thread_count: int, iterations: int):
    threads = []
    for tid in range(thread_count):
        t = threading.Thread(target=lambda: str…
12 0 Open

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Automation & scripting — Python code examples

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