Python - OS Module Overview

Python OS Module Overview

Introduction to Python OS Module

The Python OS module is a built-in module that provides a portable way of using operating system-dependent functionality. It allows Python developers to interact with the underlying operating system, perform file and directory operations, retrieve system information, and manage processes. Understanding the Python os module is essential for developers working with files, system paths, and automation scripts.

The os module in Python provides functions for interacting with the operating system. It is part of Python's standard utility modules, which means no additional installation is required. The module allows you to perform tasks such as:

  • Creating and removing directories
  • Working with files and paths
  • Getting system information like environment variables
  • Running shell commands and executing system-level operations

The os module is especially useful for writing scripts that need to run on multiple operating systems without modification.

Importing the OS Module

Before using any functionality provided by the os module, you need to import it in your Python script:

import os

Once imported, you can access all functions and constants defined in the module.

Working with Directories

Getting Current Working Directory

You can find the current working directory using os.getcwd():

import os

current_directory = os.getcwd()
print("Current Working Directory:", current_directory)

Changing Directory

To change the current working directory, use os.chdir(path):

import os

os.chdir("/path/to/directory")
print("Directory changed to:", os.getcwd())

Listing Directory Contents

The os.listdir() function returns a list of all files and directories in a specified path:

import os

files = os.listdir(".")
print("Files and Directories:", files)

Creating and Removing Directories

You can create new directories with os.mkdir() and remove them with os.rmdir():

import os

# Create a new directory
os.mkdir("new_folder")
print("Directory 'new_folder' created")

# Remove the directory
os.rmdir("new_folder")
print("Directory 'new_folder' removed")

For creating nested directories, use os.makedirs() and to remove them recursively, use os.removedirs().

Working with Files

Checking File Existence

To check if a file or directory exists, use os.path.exists():

import os

file_path = "example.txt"
if os.path.exists(file_path):
    print("File exists")
else:
    print("File does not exist")

Checking File Type

You can check whether a path is a file or directory:

import os

if os.path.isfile("example.txt"):
    print("This is a file")
if os.path.isdir("my_folder"):
    print("This is a directory")

Renaming and Deleting Files

Files can be renamed and deleted using os.rename() and os.remove():

import os
# Rename a file
os.rename("old_file.txt", "new_file.txt")
print("File renamed")

# Delete a file
os.remove("new_file.txt")
print("File deleted")

Environment Variables

The os module allows access to environment variables using os.environ:

import os
# Get a specific environment variable
home_dir = os.environ.get("HOME")
print("Home Directory:", home_dir)

# List all environment variables
for key, value in os.environ.items():
    print(key, ":", value)

Path Manipulations

The os.path submodule is extremely useful for handling file paths:

Joining Paths

import os

path = os.path.join("folder", "subfolder", "file.txt")
print("Joined Path:", path)

Getting Absolute Path

import os

absolute_path = os.path.abspath("example.txt")
print("Absolute Path:", absolute_path)

Splitting Paths

import os

directory, filename = os.path.split("/home/user/example.txt")
print("Directory:", directory)
print("Filename:", filename)

Getting File Name and Extension

import os

filename, file_extension = os.path.splitext("example.txt")
print("Filename:", filename)
print("Extension:", file_extension)

Executing System Commands

The os.system() function allows you to run shell commands directly from Python:

import os

# List files in the current directory (Linux/Mac)
os.system("ls")

# For Windows, you can use
# os.system("dir")

For more advanced use, Python 3.5+ provides the subprocess module, which is recommended over os.system() for better control and security.

Working with File Descriptors

The os module allows working directly with low-level file descriptors:

import os

# Open a file descriptor
fd = os.open("example.txt", os.O_RDWR | os.O_CREAT)
os.write(fd, b"Hello World")
os.close(fd)

# Reading from a file descriptor
fd = os.open("example.txt", os.O_RDONLY)
content = os.read(fd, 100)
print(content.decode())
os.close(fd)

Process Management

The os module can also handle process-related operations:

Getting Process ID

import os

pid = os.getpid()
print("Current Process ID:", pid)

Getting Parent Process ID

import os

ppid = os.getppid()
print("Parent Process ID:", ppid)

Forking Processes (Linux/Unix)

import os

pid = os.fork()
if pid == 0:
    print("Child process")
else:
    print("Parent process with child PID:", pid)

Cross-Platform Compatibility

Using the os module ensures your Python scripts are cross-platform compatible. Functions like os.path.join() automatically use the correct path separator for Windows, Linux, or Mac.


The Python OS module is a powerful and essential module for interacting with the operating system. It provides functionality for file and directory operations, environment variables, path manipulations, process management, and running system commands. By mastering the os module, Python developers can automate system tasks efficiently and write cross-platform scripts.By combining these functions with Python’s other modules, you can build robust scripts and automation tools for almost any operating system.

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Python

Beginner 5 Hours

Python OS Module Overview

Introduction to Python OS Module

The Python OS module is a built-in module that provides a portable way of using operating system-dependent functionality. It allows Python developers to interact with the underlying operating system, perform file and directory operations, retrieve system information, and manage processes. Understanding the Python os module is essential for developers working with files, system paths, and automation scripts.

The os module in Python provides functions for interacting with the operating system. It is part of Python's standard utility modules, which means no additional installation is required. The module allows you to perform tasks such as:

  • Creating and removing directories
  • Working with files and paths
  • Getting system information like environment variables
  • Running shell commands and executing system-level operations

The os module is especially useful for writing scripts that need to run on multiple operating systems without modification.

Importing the OS Module

Before using any functionality provided by the os module, you need to import it in your Python script:

import os

Once imported, you can access all functions and constants defined in the module.

Working with Directories

Getting Current Working Directory

You can find the current working directory using os.getcwd():

import os current_directory = os.getcwd() print("Current Working Directory:", current_directory)

Changing Directory

To change the current working directory, use os.chdir(path):

import os os.chdir("/path/to/directory") print("Directory changed to:", os.getcwd())

Listing Directory Contents

The os.listdir() function returns a list of all files and directories in a specified path:

import os files = os.listdir(".") print("Files and Directories:", files)

Creating and Removing Directories

You can create new directories with os.mkdir() and remove them with os.rmdir():

import os # Create a new directory os.mkdir("new_folder") print("Directory 'new_folder' created") # Remove the directory os.rmdir("new_folder") print("Directory 'new_folder' removed")

For creating nested directories, use os.makedirs() and to remove them recursively, use os.removedirs().

Working with Files

Checking File Existence

To check if a file or directory exists, use os.path.exists():

import os file_path = "example.txt" if os.path.exists(file_path): print("File exists") else: print("File does not exist")

Checking File Type

You can check whether a path is a file or directory:

import os if os.path.isfile("example.txt"): print("This is a file") if os.path.isdir("my_folder"): print("This is a directory")

Renaming and Deleting Files

Files can be renamed and deleted using os.rename() and os.remove():

import os # Rename a file os.rename("old_file.txt", "new_file.txt") print("File renamed") # Delete a file os.remove("new_file.txt") print("File deleted")

Environment Variables

The os module allows access to environment variables using os.environ:

import os # Get a specific environment variable home_dir = os.environ.get("HOME") print("Home Directory:", home_dir) # List all environment variables for key, value in os.environ.items(): print(key, ":", value)

Path Manipulations

The os.path submodule is extremely useful for handling file paths:

Joining Paths

import os path = os.path.join("folder", "subfolder", "file.txt") print("Joined Path:", path)

Getting Absolute Path

import os absolute_path = os.path.abspath("example.txt") print("Absolute Path:", absolute_path)

Splitting Paths

import os directory, filename = os.path.split("/home/user/example.txt") print("Directory:", directory) print("Filename:", filename)

Getting File Name and Extension

import os filename, file_extension = os.path.splitext("example.txt") print("Filename:", filename) print("Extension:", file_extension)

Executing System Commands

The os.system() function allows you to run shell commands directly from Python:

import os # List files in the current directory (Linux/Mac) os.system("ls") # For Windows, you can use # os.system("dir")

For more advanced use, Python 3.5+ provides the subprocess module, which is recommended over os.system() for better control and security.

Working with File Descriptors

The os module allows working directly with low-level file descriptors:

import os # Open a file descriptor fd = os.open("example.txt", os.O_RDWR | os.O_CREAT) os.write(fd, b"Hello World") os.close(fd) # Reading from a file descriptor fd = os.open("example.txt", os.O_RDONLY) content = os.read(fd, 100) print(content.decode()) os.close(fd)

Process Management

The os module can also handle process-related operations:

Getting Process ID

import os pid = os.getpid() print("Current Process ID:", pid)

Getting Parent Process ID

import os ppid = os.getppid() print("Parent Process ID:", ppid)

Forking Processes (Linux/Unix)

import os pid = os.fork() if pid == 0: print("Child process") else: print("Parent process with child PID:", pid)

Cross-Platform Compatibility

Using the os module ensures your Python scripts are cross-platform compatible. Functions like os.path.join() automatically use the correct path separator for Windows, Linux, or Mac.


The Python OS module is a powerful and essential module for interacting with the operating system. It provides functionality for file and directory operations, environment variables, path manipulations, process management, and running system commands. By mastering the os module, Python developers can automate system tasks efficiently and write cross-platform scripts.By combining these functions with Python’s other modules, you can build robust scripts and automation tools for almost any operating system.

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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