File Handling In Python (2024)

INTRODUCTION:

Ever wondered how Python manages to effortlessly read and write data to files? Get ready to embark on an exciting journey through the concept of file handling in Python, as we understand the uses of it.

Do you know by employing Python's built-in file handling capabilities, developers can work with different file formats, extract meaningful data, and perform data manipulation tasks efficiently?Yes,File handling in Python is a fundamental skill for developers, enabling them to manage data effectively, perform data processing tasks, and work with various data sources, making it a crucial aspect of Python programming.File handling in Python is a foundational skill that empowers developers to efficiently manage data, perform data processing, and handle various data-related tasks.We will discuss in detail in this blog how it really means.

Let us deep dive into the concept of File Handling.

Modes of File Handling in python:

In Python, file handling modes are used to determine how a file should be opened and operated upon. Python provides several file handling modes that allow you to perform different operations on files. Here are the most commonly used file handling modes in Python:

1. Read Mode 'r': The read mode is denoted by the character 'r', and it's used when you want to open a file for reading its contents.We cannot modify the file using this mode.

2. Write Mode 'w': This mode is used to write data to a file. If files do not exist,it will get created. If it already exists, contents will be overwritten. If you want to append data to the existing file content, you can use the 'a' mode instead.

3. Append Mode 'a’: This mode is used to append data to an existing file.File will be created if not present earlier. The new data will be added to the end of the existing file content, without overwriting it.

4. Binary Mode 'b’:Binary files like images,videos,audios can be handled here. For example, 'rb' is used to read a binary file, and 'wb' is used to write to a binary file.

5. Exclusive Creation Mode 'x': This mode is used to create a new file, but it raises a FileExistsError if the file already exists.

6. Update Mode '+': This mode is used to open a file for both reading and writing. It is added to the other modes. For example, 'r+' is used to open a file for both reading and writing.

File Handling In Python (1)

To use these modes, you can pass them as the second argument when using the open() function to open a file. For example:

File Handling In Python (2)

Remember to close the file after you're done using it by calling the close() method on the file object:

File Handling In Python (3)

with statement can be used alternatively to close the file.

File Handling In Python (4)

Let us understand uses of file handling using codes:

1.Opening a File:

‘open()’ function is used to open a file in Python, which takes the file name and the mode of operation as arguments. The mode can be 'r' for reading, 'w' for writing (creating a new file or overwriting an existing file), 'a' for appending data to a file, or 'x' for creating a new file (fails if the file already exists).

File Handling In Python (5)

2. Reading from a File:

Once a file is opened, you can read its contents using various methods. The most common ones are:

- read() : reads entire as string

- readline() : single line from file can be read.

- readlines() : all lines from file are read and displayed in list.

File Handling In Python (6)

3. Writing to a File:

A file is opened using the ‘open()’ function,and write mode ‘w’ is used to write data to a file. Then, to write a string to a file ‘write’ mode is used. Note that the file's contents will be overwritten by ‘w’ mode, while the 'a' mode will append the data to the end of the file.

File Handling In Python (7)

Recommended by LinkedIn

Mastering Lists and Tuples in Python: Unlock the Power… Ankitaa Panpatil 2 weeks ago
Mastering File Handling in Python: A Comprehensive… Tarini Prasad Das 3 months ago
What Is Mutable And Immutable In Python? khadar valli 1 year ago

4. Closing a File:

It's crucial to close a file after you're done with it to free up system resources. You can use the close() method to close the file manually. Use of ‘with’ also closes the file as it calls 2 built in methods enter and exit,when the operation gets complete the file will be closed automatically.

File Handling In Python (11)

5. Error Handling:

When working with files, it's important to handle exceptions that may occur. Python provides a try-except block to catch and handle any potential errors during file handling.

File Handling In Python (12)

These are some of the fundamental concepts and functions related to file handling in Python. Remember to handle exceptions, close files properly, and refer to the Python documentation for more advanced file handling operations and techniques.

Advanced file handling in Python involves using additional modules or libraries to perform more specialized operations on files. Here are a few examples:

Working with various File Formats:

1. Working with CSV(Comma-Separated Values) Files:

CSV files are basically used to store tabular data. ’csv’ module of Python is used for reading CSV files.It allows you to handle various aspects of CSV files, such as reading rows, writing rows, specifying delimiters, handling headers, etc. Here's a basic example:

File Handling In Python (13)

2. Working with JSON Files:

JSON (JavaScript Object Notation) is a popular format for storing structured data. Python provides the json module for working with JSON files. It allows you to load JSON data from a file, convert it to Python objects, and vice versa. Here's an example:

File Handling In Python (14)

3. Working with Binary Files:

Binary files store data in a binary format, such as images, videos, or executable files. Python allows you to read from and write to binary files using the 'rb' (read binary) and 'wb' (write binary) modes. Here's an example of copying a binary file:

File Handling In Python (15)

4. File and Directory Manipulation:

The os module provides functions for various file and directory operations. You can create, rename, delete files, check if a file exists, get file information, list directory contents, etc. Here's an example:

File Handling In Python (16)

PDF File Handling in python:

To handle PDF files in Python, you can use third-party libraries that provide functionality for working with PDFs. One popular library for PDF manipulation in Python is PyPDF2. Here's an example of how you can use PyPDF2 to handle PDF files:

1. Installation: First, you need to install the PyPDF2 library.

File Handling In Python (17)

2. Reading PDF Content: You can use PyPDF2 to read the content of a PDF file. Here's an example that opens a PDF file, reads its content, and prints it:

File Handling In Python (18)

3. Extracting Text: PyPDF2 allows you to extract text from specific pages or the entire PDF file. Here's an example that extracts text from the first page of a PDF:

File Handling In Python (19)

4. Creating a New PDF: PyPDF2 also allows you to create new PDF files and add content to them. Here's an example that creates a new PDF file and adds a page with some text:

File Handling In Python (20)

Conclusion:

In conclusion, file handling is a fundamental aspect of programming that empowers developers to store, manipulate, and manage data efficiently and securely.

File Handling In Python (21)
File Handling In Python (2024)

FAQs

Is Python good for file handling? ›

File handling is an integral part of programming. File handling in Python is simplified with built-in methods, which include creating, opening, and closing files. While files are open, Python additionally allows performing various file operations, such as reading, writing, and appending information.

How do we handle file handling in Python? ›

The four primary functions used for file handling in Python are:
  1. open() : Opens a file and returns a file object.
  2. read() : Reads data from a file.
  3. write() : Writes data to a file.
  4. close() : Closes the file, releasing its resources.
Aug 13, 2024

What are the 3 main steps for working with a file Python? ›

What three steps must be taken by a program when it uses a file?
  • Open the file. To interact with a file, a program first needs to open it. ...
  • Process the file. Once the file has been opened, the actual processing can take place. ...
  • Close the file. Once the file has been processed, it's essential to close it.

Can Python handle large files? ›

We can use the file object as an iterator. The iterator will return each line one by one, which can be processed. This will not read the whole file into memory and it's suitable to read large files in Python. Here is the code snippet to read large file in Python by treating it as an iterator.

What should Python not be used for? ›

High Memory Consumption

For any memory intensive tasks Python is not a good choice. That is why it is not used for that purpose. Python's memory consumption is also high, due to the flexibility of the data types.

What is the best way to handle a Python? ›

The right way to handle a snake would be to hold the upper half with one hand and the bottom half in the other hand. If the snake is over 6ft or aggressive then it should be handled by two people for the health and safety of the snake and the handlers.

What is a+ in Python file handling? ›

Append and Read ('a+'): Using this method, you can read and write in the file. If the file doesn't already exist, one gets created. The handle is set at the end of the file. The newly written text will be added at the end, following the previously written data.

What are the 6 basic file operations in Python? ›

In Python, there are six different access modes that you can use when working with files:
  • r – Read-only mode. This mode allows you to read from the file, but you can't make any changes to it. ...
  • w – Write-only mode. ...
  • a – Append-only mode. ...
  • r+ – Read + Write mode. ...
  • w+ – Write + Read mode. ...
  • a+ – Append + Read mode.
Jan 2, 2023

What is the best way to run a Python file? ›

To execute a Python script, first open a terminal, then navigate to the directory where the script is located, and finally, run the script using the 'python' command followed by the script's name. On Linux, consider using python3 to ensure you're using Python 3.

What are the two types of files in Python? ›

There are mainly two types of data files — text file and binary file. A text file consists of human readable characters, which can be opened by any text editor.

How to manipulate files in Python? ›

Opening and closing files in Python can be achieved using the built-in open() function. This function takes two parameters: the file name and the mode. The mode can be 'r' (read), 'w' (write), 'a' (append), or 'x' (create). Text files are one of the most common file types.

How to check if a file exists in Python? ›

How to Check if a File Exists in Python with isFile() and exists()
  1. the os. path. isfile(path) method that returns True if the path is a file or a symlink to a file.
  2. the os. path. exists(path) method that returns True if the path is a file, directory, or a symlink to a file.
Jan 5, 2023

What is tell in Python file handling? ›

Python tell function is used to determine the current position or location of the file pointer. Why Python tell function is important. As the Pyhton tell function returns the current position of the file read/write pointer within the file, and sometimes it becomes essential for us to know the position.

Is Python good for data handling? ›

Why Do Data Analysts Prefer Using Python? The highly cross-functional language offers several perks to its users. It helps data analysts to make sense of complicated data sets and make them easier to understand. Another pro of using Python is its high readability.

Is Python good for file parsing? ›

Python is a versatile programming language known for its simplicity and readability. It has a rich ecosystem of libraries, such as CSV, JSON, XML, and binary file parsers, that make it easy to parse and manipulate files in different formats.

Is Python capable of handling big data? ›

Python is well-suited for large datasets due to its powerful data processing capabilities and extensive library ecosystem. Libraries like Pandas and NumPy enable efficient data manipulation, while Dask allows for parallel computing to manage larger-than-memory datasets.

Does Python have good documentation? ›

Python is particularly well-suited for good documentation practices due to its clean, readable syntax and strong support for docstrings—in-code explanations of functions, methods, and classes.

Top Articles
What to Do If Your Google Business Profile Is Suspended for Suspicious Activity | BizIQ
North Korea
$4,500,000 - 645 Matanzas CT, Fort Myers Beach, FL, 33931, William Raveis Real Estate, Mortgage, and Insurance
Star Wars Mongol Heleer
Summit County Juvenile Court
Nfr Daysheet
What Happened To Dr Ray On Dr Pol
Videos De Mexicanas Calientes
360 Training Alcohol Final Exam Answers
Apply A Mudpack Crossword
Produzione mondiale di vino
What’s the Difference Between Cash Flow and Profit?
104 Presidential Ct Lafayette La 70503
New Mexico Craigslist Cars And Trucks - By Owner
REVIEW - Empire of Sin
Gfs Rivergate
Animal Eye Clinic Huntersville Nc
Hijab Hookup Trendy
Labor Gigs On Craigslist
finaint.com
Operation Cleanup Schedule Fresno Ca
Truck Trader Pennsylvania
Soccer Zone Discount Code
Diamond Piers Menards
DBZ Dokkan Battle Full-Power Tier List [All Cards Ranked]
Curry Ford Accident Today
97226 Zip Code
Ratchet & Clank Future: Tools of Destruction
Pinellas Fire Active Calls
Glover Park Community Garden
Jobs Hiring Near Me Part Time For 15 Year Olds
Grave Digger Wynncraft
Dell 22 FHD-Computermonitor – E2222H | Dell Deutschland
Ugly Daughter From Grown Ups
APUSH Unit 6 Practice DBQ Prompt Answers & Feedback | AP US History Class Notes | Fiveable
County Cricket Championship, day one - scores, radio commentary & live text
Ff14 Laws Order
Japanese Pokémon Cards vs English Pokémon Cards
Lucky Larry's Latina's
Staar English 1 April 2022 Answer Key
Best Restaurant In Glendale Az
Pepsi Collaboration
Craigslist Florida Trucks
San Bernardino Pick A Part Inventory
11526 Lake Ave Cleveland Oh 44102
How to Print Tables in R with Examples Using table()
Lake Kingdom Moon 31
Hkx File Compatibility Check Skyrim/Sse
All Weapon Perks and Status Effects - Conan Exiles | Game...
Portal Pacjenta LUX MED
Horseneck Beach State Reservation Water Temperature
Arnold Swansinger Family
Latest Posts
Article information

Author: Reed Wilderman

Last Updated:

Views: 5675

Rating: 4.1 / 5 (52 voted)

Reviews: 83% of readers found this page helpful

Author information

Name: Reed Wilderman

Birthday: 1992-06-14

Address: 998 Estell Village, Lake Oscarberg, SD 48713-6877

Phone: +21813267449721

Job: Technology Engineer

Hobby: Swimming, Do it yourself, Beekeeping, Lapidary, Cosplaying, Hiking, Graffiti

Introduction: My name is Reed Wilderman, I am a faithful, bright, lucky, adventurous, lively, rich, vast person who loves writing and wants to share my knowledge and understanding with you.