Python - Introduction to Shell Scripting and System Administration

Python – Introduction to Shell Scripting and System Administration

Introduction to Shell Scripting and System Administration in Python

1. Introduction

Python is a versatile, high-level scripting language that excels in system automation, administration, and shell scripting. Unlike traditional shell scripts, Python brings power, readability, and a comprehensive standard libraryβ€”making it a great choice for automating routine tasks, managing systems, and interacting with the file system and shell environment. In this document, we will explore how to use Python for shell scripting and system administration tasks.

2. Why Python for Shell Scripting?

2.1 Readability and Maintainability

Python syntax is clear and concise, which makes scripts easier to write, review, and maintain compared to Bash or batch scripts.

2.2 Cross-platform Support

Python runs on Linux, Windows, and macOSβ€”scripts written on one OS often work on others with minimal modifications.

2.3 Rich Standard Library

Modules like os, sys, subprocess, and pathlib provide powerful tools without external dependencies.

2.4 Scalability

As script complexity grows, Python scales seamlesslyβ€”supporting modularity, error handling, and testing.

3. Writing a Basic Shell Script in Python

3.1 Shebang and Permissions

#!/usr/bin/env python3
import os

def greet():
    print("Hello from Python shell script!")

if __name__ == "__main__":
    greet()

Save as greet.py, then:

chmod +x greet.py
./greet.py

3.2 Parsing Arguments with argparse

#!/usr/bin/env python3
import argparse

parser = argparse.ArgumentParser(description="Greet someone.")
parser.add_argument("name", help="Name of the person")
parser.add_argument("-t", "--times", type=int, default=1, help="Number of times to greet")
args = parser.parse_args()

for i in range(args.times):
    print(f"Hello, {args.name}!")

4. Working with the File System

4.1 Listing Files in a Directory

import os

directory = "/var/log"
for filename in os.listdir(directory):
    print(filename)

4.2 File and Directory Operations with pathlib

from pathlib import Path

path = Path("/tmp/myfolder")
path.mkdir(exist_ok=True)

file = path / "log.txt"
file.write_text("Log entry")

for child in path.iterdir():
    print(child.name, child.stat().st_size)

4.3 Recursive File Search

from pathlib import Path

path = Path(".")
for file in path.rglob("*.py"):
    print(file)

4.4 File Metadata

import os
import time

stat = os.stat("greet.py")
print("Size:", stat.st_size)
print("Last modified:", time.ctime(stat.st_mtime))

5. Running Shell Commands

5.1 Using subprocess.run()

import subprocess

result = subprocess.run(["ls", "-l", "/tmp"], capture_output=True, text=True)
print(result.stdout)

5.2 Handling Errors

try:
    subprocess.run(["ls", "/nonexistent"], check=True)
except subprocess.CalledProcessError as err:
    print("Command failed with code", err.returncode)

5.3 Capturing and Processing Output

result = subprocess.run(["ps", "aux"], capture_output=True, text=True)
lines = result.stdout.splitlines()
for line in lines[:5]:
    print(line)

6. Process and System Information

6.1 Using psutil for Advanced Info

import psutil

for proc in psutil.process_iter(['pid', 'name', 'memory_info']):
    print(proc.info)

6.2 Memory and CPU Usage

print("CPU usage:", psutil.cpu_percent(interval=1))
print("Memory:", psutil.virtual_memory())

6.3 Disk and Network Stats

print("Disk usage:", psutil.disk_usage("/"))
print("Network IO:", psutil.net_io_counters())

7. Automating Backups and File Rotation

7.1 Zipping a Directory

import zipfile
from pathlib import Path

def backup_dir(src, dest_zip):
    with zipfile.ZipFile(dest_zip, 'w', zipfile.ZIP_DEFLATED) as zf:
        for file in Path(src).rglob("*"):
            zf.write(file, file.relative_to(src))

backup_dir("/home/user/data", "/home/user/data_backup.zip")

7.2 Rotating Log Files

import os
import time

log_dir = "/var/log/myapp"
now = time.time()
for file in os.listdir(log_dir):
    path = os.path.join(log_dir, file)
    if os.stat(path).st_mtime < now - 7 * 86400:
        os.remove(path)

8. Scheduling Tasks

8.1 Using cron for Python Scripts

# Edit crontab
crontab -e

# Add line to run daily
0 2 * * * /usr/bin/env python3 /home/user/scripts/backup.py

8.2 Using schedule Module

import schedule
import time

def backup():
    print("Running backup...")

schedule.every().day.at("02:00").do(backup)

while True:
    schedule.run_pending()
    time.sleep(60)

9. Monitoring and Alerting

9.1 Checking Disk Space

import shutil

total, used, free = shutil.disk_usage("/")
if free / total < 0.1:
    print("Warning: Low disk space!")

9.2 Sending Email Alerts

import smtplib
from email.mime.text import MIMEText

def send_alert(subject, body):
    msg = MIMEText(body)
    msg["Subject"] = subject
    msg["From"] = "admin@example.com"
    msg["To"] = "you@example.com"
    with smtplib.SMTP("smtp.example.com") as s:
        s.send_message(msg)

send_alert("Low disk", "Disk free space below 10%")

10. Managing Users and Permissions

10.1 Listing Users

import pwd

for u in pwd.getpwall():
    print(u.pw_name, u.pw_uid, u.pw_gecos)

10.2 Checking File Permissions

import os
import stat

mode = os.stat("/etc/passwd").st_mode
print("Readable by others:", bool(mode & stat.S_IROTH))

10.3 Running Commands as sudo

import subprocess

subprocess.run(["sudo", "systemctl", "restart", "apache2"])

11. Working with Configuration Files

11.1 INI Files with configparser

import configparser

config = configparser.ConfigParser()
config.read("app.ini")

db_host = config["database"]["host"]

Beginner 5 Hours
Python – Introduction to Shell Scripting and System Administration

Introduction to Shell Scripting and System Administration in Python

1. Introduction

Python is a versatile, high-level scripting language that excels in system automation, administration, and shell scripting. Unlike traditional shell scripts, Python brings power, readability, and a comprehensive standard library—making it a great choice for automating routine tasks, managing systems, and interacting with the file system and shell environment. In this document, we will explore how to use Python for shell scripting and system administration tasks.

2. Why Python for Shell Scripting?

2.1 Readability and Maintainability

Python syntax is clear and concise, which makes scripts easier to write, review, and maintain compared to Bash or batch scripts.

2.2 Cross-platform Support

Python runs on Linux, Windows, and macOS—scripts written on one OS often work on others with minimal modifications.

2.3 Rich Standard Library

Modules like os, sys, subprocess, and pathlib provide powerful tools without external dependencies.

2.4 Scalability

As script complexity grows, Python scales seamlessly—supporting modularity, error handling, and testing.

3. Writing a Basic Shell Script in Python

3.1 Shebang and Permissions

#!/usr/bin/env python3 import os def greet(): print("Hello from Python shell script!") if __name__ == "__main__": greet()

Save as greet.py, then:

chmod +x greet.py ./greet.py

3.2 Parsing Arguments with argparse

#!/usr/bin/env python3 import argparse parser = argparse.ArgumentParser(description="Greet someone.") parser.add_argument("name", help="Name of the person") parser.add_argument("-t", "--times", type=int, default=1, help="Number of times to greet") args = parser.parse_args() for i in range(args.times): print(f"Hello, {args.name}!")

4. Working with the File System

4.1 Listing Files in a Directory

import os directory = "/var/log" for filename in os.listdir(directory): print(filename)

4.2 File and Directory Operations with pathlib

from pathlib import Path path = Path("/tmp/myfolder") path.mkdir(exist_ok=True) file = path / "log.txt" file.write_text("Log entry") for child in path.iterdir(): print(child.name, child.stat().st_size)

4.3 Recursive File Search

from pathlib import Path path = Path(".") for file in path.rglob("*.py"): print(file)

4.4 File Metadata

import os import time stat = os.stat("greet.py") print("Size:", stat.st_size) print("Last modified:", time.ctime(stat.st_mtime))

5. Running Shell Commands

5.1 Using subprocess.run()

import subprocess result = subprocess.run(["ls", "-l", "/tmp"], capture_output=True, text=True) print(result.stdout)

5.2 Handling Errors

try: subprocess.run(["ls", "/nonexistent"], check=True) except subprocess.CalledProcessError as err: print("Command failed with code", err.returncode)

5.3 Capturing and Processing Output

result = subprocess.run(["ps", "aux"], capture_output=True, text=True) lines = result.stdout.splitlines() for line in lines[:5]: print(line)

6. Process and System Information

6.1 Using psutil for Advanced Info

import psutil for proc in psutil.process_iter(['pid', 'name', 'memory_info']): print(proc.info)

6.2 Memory and CPU Usage

print("CPU usage:", psutil.cpu_percent(interval=1)) print("Memory:", psutil.virtual_memory())

6.3 Disk and Network Stats

print("Disk usage:", psutil.disk_usage("/")) print("Network IO:", psutil.net_io_counters())

7. Automating Backups and File Rotation

7.1 Zipping a Directory

import zipfile from pathlib import Path def backup_dir(src, dest_zip): with zipfile.ZipFile(dest_zip, 'w', zipfile.ZIP_DEFLATED) as zf: for file in Path(src).rglob("*"): zf.write(file, file.relative_to(src)) backup_dir("/home/user/data", "/home/user/data_backup.zip")

7.2 Rotating Log Files

import os import time log_dir = "/var/log/myapp" now = time.time() for file in os.listdir(log_dir): path = os.path.join(log_dir, file) if os.stat(path).st_mtime < now - 7 * 86400: os.remove(path)

8. Scheduling Tasks

8.1 Using cron for Python Scripts

# Edit crontab crontab -e # Add line to run daily 0 2 * * * /usr/bin/env python3 /home/user/scripts/backup.py

8.2 Using schedule Module

import schedule import time def backup(): print("Running backup...") schedule.every().day.at("02:00").do(backup) while True: schedule.run_pending() time.sleep(60)

9. Monitoring and Alerting

9.1 Checking Disk Space

import shutil total, used, free = shutil.disk_usage("/") if free / total < 0.1: print("Warning: Low disk space!")

9.2 Sending Email Alerts

import smtplib from email.mime.text import MIMEText def send_alert(subject, body): msg = MIMEText(body) msg["Subject"] = subject msg["From"] = "admin@example.com" msg["To"] = "you@example.com" with smtplib.SMTP("smtp.example.com") as s: s.send_message(msg) send_alert("Low disk", "Disk free space below 10%")

10. Managing Users and Permissions

10.1 Listing Users

import pwd for u in pwd.getpwall(): print(u.pw_name, u.pw_uid, u.pw_gecos)

10.2 Checking File Permissions

import os import stat mode = os.stat("/etc/passwd").st_mode print("Readable by others:", bool(mode & stat.S_IROTH))

10.3 Running Commands as sudo

import subprocess subprocess.run(["sudo", "systemctl", "restart", "apache2"])

11. Working with Configuration Files

11.1 INI Files with configparser

import configparser config = configparser.ConfigParser() config.read("app.ini") db_host = config["database"]["host"]

Frequently Asked Questions for Python

Python is commonly used for developing websites and software, task automation, data analysis, and data visualisation. Since it's relatively easy to learn, Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, like organising finances.


Python's syntax is a lot closer to English and so it is easier to read and write, making it the simplest type of code to learn how to write and develop with. The readability of C++ code is weak in comparison and it is known as being a language that is a lot harder to get to grips with.

Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works. Performance: Java has a higher performance than Python due to its static typing and optimization by the Java Virtual Machine (JVM).

Python can be considered beginner-friendly, as it is a programming language that prioritizes readability, making it easier to understand and use. Its syntax has similarities with the English language, making it easy for novice programmers to leap into the world of development.

To start coding in Python, you need to install Python and set up your development environment. You can download Python from the official website, use Anaconda Python, or start with DataLab to get started with Python in your browser.

Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works.

Python alone isn't going to get you a job unless you are extremely good at it. Not that you shouldn't learn it: it's a great skill to have since python can pretty much do anything and coding it is fast and easy. It's also a great first programming language according to lots of programmers.

The point is that Java is more complicated to learn than Python. It doesn't matter the order. You will have to do some things in Java that you don't in Python. The general programming skills you learn from using either language will transfer to another.


Read on for tips on how to maximize your learning. In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.


6 Top Tips for Learning Python

  • Choose Your Focus. Python is a versatile language with a wide range of applications, from web development and data analysis to machine learning and artificial intelligence.
  • Practice regularly.
  • Work on real projects.
  • Join a community.
  • Don't rush.
  • Keep iterating.

The following is a step-by-step guide for beginners interested in learning Python using Windows.

  • Set up your development environment.
  • Install Python.
  • Install Visual Studio Code.
  • Install Git (optional)
  • Hello World tutorial for some Python basics.
  • Hello World tutorial for using Python with VS Code.

Best YouTube Channels to Learn Python

  • Corey Schafer.
  • sentdex.
  • Real Python.
  • Clever Programmer.
  • CS Dojo (YK)
  • Programming with Mosh.
  • Tech With Tim.
  • Traversy Media.

Python can be written on any computer or device that has a Python interpreter installed, including desktop computers, servers, tablets, and even smartphones. However, a laptop or desktop computer is often the most convenient and efficient option for coding due to its larger screen, keyboard, and mouse.

Write your first Python programStart by writing a simple Python program, such as a classic "Hello, World!" script. This process will help you understand the syntax and structure of Python code.

  • Google's Python Class.
  • Microsoft's Introduction to Python Course.
  • Introduction to Python Programming by Udemy.
  • Learn Python - Full Course for Beginners by freeCodeCamp.
  • Learn Python 3 From Scratch by Educative.
  • Python for Everybody by Coursera.
  • Learn Python 2 by Codecademy.

  • Understand why you're learning Python. Firstly, it's important to figure out your motivations for wanting to learn Python.
  • Get started with the Python basics.
  • Master intermediate Python concepts.
  • Learn by doing.
  • Build a portfolio of projects.
  • Keep challenging yourself.

Top 5 Python Certifications - Best of 2024
  • PCEP (Certified Entry-level Python Programmer)
  • PCAP (Certified Associate in Python Programmer)
  • PCPP1 & PCPP2 (Certified Professional in Python Programming 1 & 2)
  • Certified Expert in Python Programming (CEPP)
  • Introduction to Programming Using Python by Microsoft.

The average salary for Python Developer is β‚Ή5,55,000 per year in the India. The average additional cash compensation for a Python Developer is within a range from β‚Ή3,000 - β‚Ή1,20,000.

The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python website, https://www.python.org/, and may be freely distributed.

If you're looking for a lucrative and in-demand career path, you can't go wrong with Python. As one of the fastest-growing programming languages in the world, Python is an essential tool for businesses of all sizes and industries. Python is one of the most popular programming languages in the world today.

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