logologo
  • AI Interviewer
  • Features
  • AI Tools
  • FAQs
  • Jobs
logologo

Transform your hiring process with AI-powered interviews. Screen candidates faster and make better hiring decisions.

Useful Links

  • Contact Us
  • Privacy Policy
  • Terms & Conditions
  • Refund & Cancellation
  • About Us

Resources

  • Certifications
  • Topics
  • Collections
  • Articles
  • Services

AI Tools

  • AI Interviewer
  • Xperto AI
  • AI Pre-Screening

Procodebase © 2025. All rights reserved.

Level Up Your Skills with Xperto-AI

A multi-AI agent platform that helps you level up your development skills and ace your interview preparation to secure your dream job.

Launch Xperto-AI

Mastering File Handling in Python

author
Generated by
Abhishek Goyan

21/09/2024

Python

Sign in to read full article

File handling is a crucial skill for any programmer, and Python offers a straightforward and efficient way to manage files. Whether you’re working with text files, binary files, or even CSV files, Python equips you with the tools you need to perform these operations seamlessly. Let’s explore the fundamentals of file handling in Python through a structured approach.

Opening a File

To start working with a file in Python, you need to open it. The open() function is used for this purpose. It takes two main arguments: the file path and the mode in which you want to open the file. Here’s an example of opening a text file in read mode:

file = open('example.txt', 'r')

The modes you can use include:

  • 'r': Read (default mode) - opens a file for reading.
  • 'w': Write - opens a file for writing, truncating the file first.
  • 'a': Append - opens a file for appending new data.
  • 'b': Binary - used for binary files (add to modes).
  • 'x': Exclusive creation - fails if the file already exists.

Reading from a File

Once the file is opened in read mode, you can read its contents using several methods:

  1. Read the Entire File:

    content = file.read() print(content)
  2. Read One Line at a Time:

    line = file.readline() while line: print(line) line = file.readline()
  3. Read All Lines:

    lines = file.readlines() for line in lines: print(line)

Writing to a File

Writing to a file is just as straightforward. If you want to write (or overwrite) data, use the 'w' mode:

file = open('example.txt', 'w') file.write("Hello, World!\n") file.write("Welcome to file handling in Python.\n") file.close()

If you want to append data without deleting the existing content, use the 'a' mode:

file = open('example.txt', 'a') file.write("Appending a new line.\n") file.close()

Working with Context Managers

Instead of explicitly opening and closing files, which can lead to resource leaks and errors, you can use a context manager. The with statement automatically takes care of closing the file once you’re done:

with open('example.txt', 'r') as file: content = file.read() print(content)

This approach is cleaner and reduces the risk of accidental file leaks.

Error Handling

When dealing with files, errors can occur – for instance, trying to open a non-existent file. It’s a good practice to handle these potential errors using try and except blocks:

try: with open('non_existent_file.txt', 'r') as file: content = file.read() except FileNotFoundError: print("The file does not exist.")

Example: A Complete File Handling Program

Let’s put everything together in a simple program that writes user input to a file and then reads it back:

# Writing user input to a file with open('user_input.txt', 'w') as file: for i in range(3): # Ask for 3 inputs user_input = input("Enter something to save to file: ") file.write(user_input + '\n') # Reading from the file print("\nContents of 'user_input.txt':") with open('user_input.txt', 'r') as file: contents = file.read() print(contents)

In this example, the user is prompted to enter three pieces of text, which are saved to a file. Then, the contents of the file are read and displayed.

File handling in Python opens up a world of possibilities, enabling your applications to interact with data stored in files. From reading logs to saving user preferences, mastering file operations will enhance your programming toolkit significantly, allowing you to build more robust and dynamic applications.

Popular Tags

Pythonfile handlingprogramming

Share now!

Like & Bookmark!

Related Collections

  • Mastering Hugging Face Transformers

    14/11/2024 | Python

  • Advanced Python Mastery: Techniques for Experts

    15/01/2025 | Python

  • Mastering Scikit-learn from Basics to Advanced

    15/11/2024 | Python

  • Mastering LangGraph: Stateful, Orchestration Framework

    17/11/2024 | Python

  • Python Advanced Mastery: Beyond the Basics

    13/01/2025 | Python

Related Articles

  • Understanding Shape Analysis with Python

    06/12/2024 | Python

  • Harnessing Python Asyncio and Event Loops for Concurrent Programming

    13/01/2025 | Python

  • Unlocking the Power of Statistical Models in spaCy for Python NLP

    22/11/2024 | Python

  • Seamlessly Integrating Pandas with Other Libraries

    25/09/2024 | Python

  • Automating User Interface Tasks with Python

    08/12/2024 | Python

  • Enhancing Security in Automation Practices with Python

    08/12/2024 | Python

  • Unlocking the Power of Face Recognition in Python with OpenCV

    06/12/2024 | Python

Popular Category

  • Python
  • Generative AI
  • Machine Learning
  • ReactJS
  • System Design