- Python Basics
-
Overview
- Introduction to Python and Installation
- Variables and Data Types
- Conditional Statements (if-else)
- Loops (for, while)
- Functions and Lambda Expressions
- Lists, Tuples, and Dictionaries
- File Handling (Reading/Writing Files)
- Exception Handling (Try, Except)
- Modules and Packages
- List Comprehensions and Generators
File Handling (Reading/Writing Files)
Add to Bookmark1. Introduction
File handling in Python allows reading, writing, and managing files efficiently. Python provides built-in functions for working with text and binary files.
2. Opening a File
Python uses the open()
function to handle files.
file = open("example.txt", "r") # Opens a file in read mode
file.close() # Always close the file after use
File Modes
Mode | Description |
---|---|
"r" | Read (default), file must exist |
"w" | Write, creates a new file or overwrites existing content |
"a" | Append, adds data to an existing file |
"x" | Create, fails if file already exists |
"rb" | Read binary mode |
"wb" | Write binary mode |
3. Reading a File
Reading Entire Content
with open("example.txt", "r") as file:
content = file.read()
print(content)
with open()
ensures the file is closed automatically.
Reading Line by Line
with open("example.txt", "r") as file:
for line in file:
print(line.strip()) # Removes newline characters
Reading Specific Number of Characters
with open("example.txt", "r") as file:
print(file.read(10)) # Reads first 10 characters
Reading Lines into a List
with open("example.txt", "r") as file:
lines = file.readlines() # Reads all lines into a list
print(lines)
4. Writing to a File
Writing and Overwriting a File
with open("example.txt", "w") as file:
file.write("Hello, World!\n")
file.write("Python File Handling Tutorial")
"w"
mode overwrites existing content.
Appending to a File
with open("example.txt", "a") as file:
file.write("\nAppending new content!")
5. Working with Binary Files
Binary files store data like images, videos, and executables.
Reading a Binary File
with open("image.png", "rb") as file:
data = file.read()
print(data[:10]) # Display first 10 bytes
Writing to a Binary File
with open("copy.png", "wb") as file:
file.write(data)
6. Checking if a File Exists
import os
if os.path.exists("example.txt"):
print("File exists!")
else:
print("File not found!")
7. Summary
Use open("filename", "mode")
to work with files.
Always close files or use with open()
for automatic closing. "r"
to read, "w"
to write, "a"
to append, and "x"
to create new files.
Handle text and binary files separately.
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
Random Blogs
- Loan Default Prediction Project Using Machine Learning
- AI & Space Exploration – AI’s Role in Deep Space Missions and Planetary Research
- The Ultimate Guide to Starting a Career in Computer Vision
- Datasets for Exploratory Data Analysis for Beginners
- SQL Joins Explained: A Complete Guide with Examples
- Datasets for Speech Recognition Analysis
- Mastering SQL in 2025: A Complete Roadmap for Beginners
- Understanding AI, ML, Data Science, and More: A Beginner's Guide to Choosing Your Career Path
- Transforming Logistics: The Power of AI in Supply Chain Management
- Big Data: The Future of Data-Driven Decision Making
- Understanding LLMs (Large Language Models): The Ultimate Guide for 2025
- Datasets for Natural Language Processing
- Exploratory Data Analysis On Iris Dataset
- The Ultimate Guide to Artificial Intelligence (AI) for Beginners
- Python Challenging Programming Exercises Part 2
Datasets for Machine Learning
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset
- Artificial Characters Dataset