Skip to main content

File IO in Python

 


Learning Sections          show

File IO in Python

File Input/Output (IO) operations allow you to read from and write to files. Python provides built-in functions and methods for file handling.

1. Opening a File

Use the open() function to open a file. It returns a file object and takes two parameters: the file name and the mode (e.g., read, write, append).


# Open a file in read mode
file = open('example.txt', 'r')
    

2. Reading from a File

After opening a file, you can read its contents using methods like read(), readline(), or readlines().


# Read entire content of the file
content = file.read()
print(content)

# Don't forget to close the file
file.close()
    

3. Writing to a File

Open a file in write ('w') or append ('a') mode to write data to it.


# Open a file in write mode
file = open('example.txt', 'w')

# Write a string to the file
file.write('Hello, World!')

# Close the file
file.close()
    

4. Using the with Statement

The with statement is used to wrap the execution of a block of code within methods defined by the context manager. It ensures that the file is properly closed after its suite finishes, even if an exception is raised.


# Using 'with' to open a file
with open('example.txt', 'r') as file:
    # Read the file's content
    content = file.read()
    print(content)
    

5. File Modes

Different modes can be used with the open() function:

  • 'r': Read (default mode)
  • 'w': Write (truncates the file)
  • 'a': Append
  • 'b': Binary mode
  • 't': Text mode (default mode)
  • '+': Read and write

# Example of opening a file in binary read mode
file = open('example.txt', 'rb')
# Example of opening a file in binary write mode
file = open('example.txt', 'wb')
    

Popular posts from this blog

MultiProcessing in Python

  Learning Sections          show MultiProcessing in Python Multiprocessing in Python involves using the multiprocessing module to run multiple processes concurrently, taking advantage of multiple CPU cores. This module provides a higher level of concurrency than threading and is especially useful for CPU-bound tasks. Creating Processes You can create and start a new process by using the multiprocessing module: import multiprocessing def print_numbers (): for i in range ( 10 ): print ( i ) p1 = multiprocessing.Process ( target = print_numbers ) p1 . start () p1 . join () # Wait for the process to complete Using Process Pools The multiprocessing module provides a Pool class, which allows you to manage a pool of worker processes: from multiprocessing import Pool def square ( n ): return n * n with Pool ( 4 ) as pool : result = pool.map ( square , range (...

Learn Python

  Learning Sections Introduction to Python Comment, escape sequence and print statement in Python Variables and Data Types in Python Typecasting in Python User input in Python String slicing and operations on string in Python String methods in Python If else conditional statements in Python Match case statement in Python For loops in Python While loops in Python Break and continue statement in Python Functions in Python Function Arguments in Python introduction to lists in Python List methods in Python Tuples in Python Operations on tuple in Python f strings in Python Docstrings in Python Recursion in Python Sets in Python Set methods in Python Dictionaries in Python for Loop with else in Python Exception Handling in Python Finally keyword in Python Raising custom errors in Python Short hand if else statements Enumerate Function in Python Virtual Environment in Python How import works in Python if __nam...

Introduction to Python Programming

  Learning Sections      show History of Python Python was created by Guido van Rossum and first released in 1991. He wanted to create a language that was easy to read and simple to use. The name "Python" comes from the British comedy series "Monty Python's Flying Circus". Key Features of Python Readability: Python's syntax is clear and easy to read. Ease of Learning: Python is straightforward, making it great for beginners. High-Level Language: Python handles much of the complexity of the computer’s operations. Interpreted Language: Python runs code line-by-line, which makes debugging easier. Dynamically Typed: You don’t need to declare variable types. Extensive Standard Library: Python has many built-in modules for various tasks. Portability: ...