Full details of Working with Files and Directories in Python with suitable Examples

csaccept.com is a computer awareness website dedicated to providing reliable and easy-to-understand information about computer technology and digital safety. The website focuses on educating students, beginners, and general users about computer basics, cyber security, emerging technologies, and practical IT skills. Through informative articles, quizzes, and real-life examples, csaccept.com aims to increase digital literacy and help users stay safe and confident in today’s technology-driven world.
Facebook ……………….. Instagram …………….. Twitter ( X ) …………….. YouTube

Table of Contents

Full details of Working with Files and Directories in Python with suitable Examples

File handling is one of the most important concepts in programming. In real-world applications, programs often need to store data permanently, read previously stored information, or modify files. (csaccept.com)

Python provides simple and powerful tools for working with files and directories. With Python, we can create files, read data from files, write new data, manage directories, and even work with structured data formats like CSV and JSON.

This guide explains everything about Python File Handling and Directory Management with practical examples.

1. Introduction to File Handling in Python

A file is a named location on a storage device (such as a hard disk) used to store data permanently.

Unlike variables, which store data temporarily in memory, files allow data to remain available even after the program stops running.

Why File Handling is Important

File handling is used when programs need to:

Store user data permanently
Save logs or reports
Read configuration settings
Work with datasets
Exchange data between programs

Python makes file handling simpler compared to many other programming languages.

2. Types of Files in Python

Python generally handles two types of files:

1. Text Files

Text files store data in human-readable format.

Examples:

file.txt
notes.txt
data.csv

Each line ends with a special character called a newline character (\n).

2. Binary Files

Binary files store data in binary format (0 and 1).

Examples:

image.jpg
video.mp4
program.exe

Binary files are not human readable.

3. Basic File Operation Steps

Every file operation in Python follows three basic steps:

Step 1 – Open the file

The file must be opened before performing any operation.

Step 2 – Perform operation

Operations may include:

Reading
Writing
Appending

Step 3 – Close the file

After finishing work with the file, it should be closed.

4. Opening a File in Python

Python provides the open() function to open a file.

Syntax

file_object = open(file_name, access_mode)

Example:

fileptr = open("file.txt", "r")

if fileptr:
    print("File opened successfully")

Output

File opened successfully

The open() function returns a file object, which allows us to perform operations like reading and writing.

5. File Access Modes in Python

Different modes determine how a file will be opened.

Mode	Description
r	Read only mode
rb	Read binary mode
r+	Read and write
w	Write mode (overwrite file)
wb	Write binary
w+	Write and read
a	Append mode
ab	Append binary
a+	Append and read

6. Closing a File

After completing operations on a file, it is important to close it using close().

Syntax

file_object.close()

Example

fileptr = open("file.txt", "r")

print("File opened successfully")

fileptr.close()

Closing the file ensures that:

Memory resources are released
Data is saved properly

7. Writing Data to a File

To write data to a file, we open it using write mode (w) or append mode (a).

Example: Writing Data

fileptr = open("file2.txt", "w")

fileptr.write("Python is a powerful programming language.")

fileptr.close()

Output

A file named file2.txt will be created containing:

Python is a powerful programming language.

8. Appending Data to a File

Append mode allows adding new content without deleting existing data.

Example:

fileptr = open("file2.txt", "a")

fileptr.write("\nIt is widely used for data science and AI.")

fileptr.close()

9. Reading a File in Python

Python allows reading files using loops.

Example:

fileptr = open("file2.txt", "r")

for line in fileptr:
    print(line)

fileptr.close()

Output

Python is a powerful programming language.
It is widely used for data science and AI.

Each iteration reads one line from the file.

10. Python OS Module for File Management

Python provides the os module to interact with the operating system.

This module allows us to:

Rename files
Delete files
Create directories
Remove directories
Change directories

11. Renaming a File

Python provides os.rename() to rename files.

Example

import os

os.rename("file2.txt", "file3.txt")

The file file2.txt will be renamed to file3.txt.

12. Deleting a File

We can delete files using os.remove().

Example

import os

os.remove("file3.txt")

This will permanently delete the file.

13. Creating a Directory

Directories (folders) help organize files.

Python uses mkdir() to create a new directory.

Example

import os

os.mkdir("newfolder")

A new folder named newfolder will be created.

14. Get Current Working Directory

The getcwd() function returns the current working directory.

Example

import os

print(os.getcwd())

Output

C:\Users\Student\Documents

15. Changing Current Directory

Python uses chdir() to change the current directory.

Example

import os

os.chdir("newfolder")

Now the program will operate inside the newfolder directory.

16. Deleting a Directory

The rmdir() function deletes a directory.

Example

import os

os.rmdir("newfolder")

Note: The directory must be empty before deletion.

17. Working with CSV Files in Python

CSV stands for Comma Separated Values.

It is a simple text format used to store tabular data.

Example CSV file:

Name,Age,City
Rahul,22,Delhi
Priya,21,Mumbai
Amit,23,Kanpur

Python provides the csv module to read and write CSV files.

18. Reading a CSV File

Example

import csv

with open("students.csv", "r") as file:
    reader = csv.reader(file)

    for row in reader:
        print(row)

Output

['Name', 'Age', 'City']
['Rahul', '22', 'Delhi']
['Priya', '21', 'Mumbai']

19. Writing to a CSV File

Example

import csv

with open("students.csv", "w", newline="") as file:

    writer = csv.writer(file)

    writer.writerow(["Name", "Age", "City"])
    writer.writerow(["Rahul", 22, "Delhi"])
    writer.writerow(["Priya", 21, "Mumbai"])

20. CSV Writer Methods

Function	Description
writerow()	Writes one row
writerows()	Writes multiple rows

Example

data = [
    ["Amit", 23, "Kanpur"],
    ["Neha", 24, "Lucknow"]
]

writer.writerows(data)

21. Working with JSON Files

JSON stands for JavaScript Object Notation.

It is widely used for data exchange between applications and APIs.

Example JSON data

{
"name": "Rahul",
"age": 22,
"city": "Delhi"
}

Python provides the json module to work with JSON data.

Writing JSON File Example

import json

data = {
    "name": "Rahul",
    "age": 22,
    "city": "Delhi"
}

with open("data.json", "w") as file:
    json.dump(data, file)

Reading JSON File Example

import json

with open("data.json", "r") as file:
    data = json.load(file)

print(data)

Output

{'name': 'Rahul', 'age': 22, 'city': 'Delhi'}

Conclusion

File handling is a fundamental concept in Python programming. It allows developers to store, retrieve, and manage data efficiently.

In this guide, we learned:

File handling basics
Opening and closing files
Reading and writing files
File access modes
Python OS module for directory management
Working with CSV files
Working with JSON files

Understanding file operations is essential for building real-world applications such as databases, web apps, data analysis systems, and automation tools.

Students learning Python at CS Accept should practice these concepts with multiple examples to master file handling.

Short Question–Answers (Python File Handling)

1. What is file handling in Python?

File handling is the process of creating, reading, writing, and managing files using Python programs.

2. What is a file?

A file is a named location on disk used to store data permanently.

3. Why is file handling important?

It allows programs to store data permanently even after the program ends.

4. What function is used to open a file in Python?

The open() function is used.

5. What does the open() function return?

It returns a file object.

6. What are the main steps in file handling?

Open file
Perform operations (read/write)
Close file

7. What are the two types of files in Python?

Text files
Binary files

8. What is text file mode?

It reads or writes files as readable characters.

9. What is binary mode?

Binary mode reads or writes data in binary format.

10. What does “r” mode mean?

It opens the file in read-only mode.

11. What does “w” mode mean?

It opens the file in write mode and overwrites existing data.

12. What does “a” mode mean?

It opens the file in append mode to add new data.

13. What does “r+” mode do?

It opens the file for both reading and writing.

14. What is the purpose of close() method?

It closes the file and releases system resources.

15. What happens if a file is not closed?

It may cause memory leaks or data loss.

16. Which module is used for OS operations in Python?

The os module.

17. What does os.rename() do?

It renames a file.

18. What does os.remove() do?

It deletes a file.

19. What does os.mkdir() do?

It creates a new directory.

20. What does os.getcwd() return?

It returns the current working directory.

21. What does os.chdir() do?

It changes the current working directory.

22. What does os.rmdir() do?

It removes a directory.

23. What is a CSV file?

CSV is a Comma Separated Values file used for tabular data.

24. Which module is used to work with CSV files?

The csv module.

25. What does csv.reader() do?

It reads data from CSV files.

26. What does csv.writer() do?

It writes data to CSV files.

27. What is writerow()?

It writes a single row to a CSV file.

28. What is writerows()?

It writes multiple rows to a CSV file.

29. What is JSON?

✅ Answer: B

15. Which function writes CSV file?

A. csv.write()
B. csv.writer()
C. csv.save()
D. csv.insert()

✅ Answer: B

Python Practice Programs

Program 1 – Write Data to File

file = open("student.txt","w")

file.write("Name: Rahul\n")
file.write("Course: Python Programming")

file.close()

Program 2 – Read File

file = open("student.txt","r")

for line in file:
    print(line)

file.close()

Program 3 – Append Data

file = open("student.txt","a")

file.write("\nCity: Prayagraj")

file.close()

Program 4 – Rename File

import os

os.rename("student.txt","studentdata.txt")

Program 5 – Delete File

import os

os.remove("studentdata.txt")

Program 6 – Create Directory

import os

os.mkdir("pythonfiles")

Program 7 – CSV Write Example

import csv

file = open("students.csv","w",newline="")

writer = csv.writer(file)

writer.writerow(["Name","Age","City"])
writer.writerow(["Rahul",22,"Delhi"])

file.close()

Program 8 – JSON Write Example

import json

data = {
"name":"Rahul",
"course":"Python",
"city":"Delhi"
}

file = open("data.json","w")

json.dump(data,file)

file.close()

SEO Optimized Blog Version (For csaccept.com)

SEO Title

Python File Handling Tutorial – Working with Files, Directories, CSV & JSON

SEO Keywords

Python File Handling
Python File I/O
Python CSV File Tutorial
Python JSON Tutorial
Python Directory Management

Python File Handling Tutorial – Complete Guide for Beginners

Python file handling allows developers to store, read, and manage data permanently using files. It is one of the most important topics for beginners learning Python programming.

In this tutorial, we will learn: