Of course! The phrase for line in python is a bit ambiguous, so I'll cover the two most likely meanings:

- Iterating over lines in a file (The most common meaning).
- Iterating over lines of text stored in a variable or string.
Let's break down both.
The Most Common Meaning: Reading Lines from a File
This is the standard way to process a file line by line in Python. It's memory-efficient because it reads only one line into memory at a time, making it perfect for very large files.
The Basic Syntax
You use a with statement, which is the best practice as it automatically handles closing the file for you, even if errors occur.
# The 'with' statement automatically opens and closes the file.
with open('my_file.txt', 'r') as file:
for line in file:
# 'line' will be a string containing one line from the file,
# including the trailing newline character '\n'.
print(line)
Example in Detail
Let's say you have a file named my_file.txt with the following content:

Hello, world!
This is the second line.
And this is the third.
Here's a complete, runnable example:
# First, let's create a dummy file for our example
file_content = """Hello, world!
This is the second line.
And this is the third."""
with open('my_file.txt', 'w') as f:
f.write(file_content)
print("--- Reading the file line by line ---")
# Now, let's read it back
with open('my_file.txt', 'r') as file:
for line in file:
# Notice the output has a blank line between each.
# This is because print() adds its own newline, and the line
# from the file already has one.
print(line)
print("\n--- Reading and cleaning up the line ---")
# Often, you'll want to strip the newline and any extra whitespace
with open('my_file.txt', 'r') as file:
for line in file:
# .strip() removes leading/trailing whitespace, including '\n'
cleaned_line = line.strip()
print(cleaned_line)
# Clean up the dummy file
import os
os.remove('my_file.txt')
Output:
--- Reading the file line by line ---
Hello, world!
This is the second line.
And this is the third.
--- Reading and cleaning up the line ---
Hello, world!
This is the second line.
And this is the third.
Key Points for File Iteration:
with open(...) as file:: This is the recommended way to handle files. It ensures the file is closed automatically.'r'mode: This stands for "read" mode. It's the default, but it's good practice to be explicit.linevariable: In each iteration,lineis a string representing a single line from the file, including the trailing newline character (\n).line.strip(): This is a very common operation to remove the\nand any other leading/trailing whitespace from the line.
Iterating Over Lines in a Variable or String
Sometimes, you might have text already in a Python variable (a multi-line string) and want to iterate over its lines as if it were a file.
You can do this by using the .splitlines() method, which is the cleanest way.
Using .splitlines()
The splitlines() method splits a string at line boundaries and returns a list of the lines, without the line breaks.
my_text = """This is the first line.
This is the second line.
This is the third line."""
# Split the string into a list of lines
lines = my_text.splitlines()
# Now, iterate over the list
for line in lines:
print(line)
Output:
This is the first line.
This is the second line.
This is the third line.
Alternative: Using io.StringIO
For a more advanced use case, you can treat a string as a file-like object using the io module. This is useful if you have a function that expects a file object but you want to pass it a string.
import io
my_text = """Line A
Line B
Line C"""
# Create a file-like object from the string
file_like_object = io.StringIO(my_text)
# Now you can use the exact same 'for line in file_like_object' syntax
for line in file_like_object:
# The line will still contain the newline character
print(f"Read line: {line.strip()}")
Output:
Read line: Line A
Read line: Line B
Read line: Line C
Summary and Comparison
| Method | Best For | Key Characteristic | Example |
|---|---|---|---|
for line in file: |
Reading from an actual file on disk. | Memory-efficient. Reads one line at a time. Ideal for large files. | with open('data.txt') as f: for line in f: ... |
for line in my_string.splitlines(): |
Processing a multi-line string that's already in memory. | Simple and direct. Creates a list of all lines in memory first. | for line in "text\nmore".splitlines(): ... |
for line in io.StringIO(my_string): |
Passing a string to a function that expects a file object. | Flexible. Makes a string behave like a file. | import io; for line in io.StringIO(s): ... |
In short, when people say "for line in python," they are almost always referring to the first case: reading lines from a file.
