Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Reading and Writing Files in Python
One of the most common tasks that you can do with Python is reading and writing files. Whether it’s writing to a simple text file, reading a complicated server log, or even analyzing raw byte data, all of these situations require reading or writing a file.
In this tutorial, you’ll learn:
- What makes up a file and why that’s important in Python
- The basics of reading and writing files in Python
- Some basic scenarios of reading and writing files
This tutorial is mainly for beginner to intermediate Pythonistas, but there are some tips in here that more advanced programmers may appreciate as well.
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Interactive Quiz
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What Is a File?
Before we can go into how to work with files in Python, it’s important to understand what exactly a file is and how modern operating systems handle some of their aspects.
At its core, a file is a contiguous set of bytes used to store data. This data is organized in a specific format and can be anything as simple as a text file or as complicated as a program executable. In the end, these byte files are then translated into binary 1
and 0
for easier processing by the computer.
Files on most modern file systems are composed of three main parts:
- Header: metadata about the contents of the file (file name, size, type, and so on)
- Data: contents of the file as written by the creator or editor
- End of file (EOF): special character that indicates the end of the file
What this data represents depends on the format specification used, which is typically represented by an extension. For example, a file that has an extension of .gif
most likely conforms to the Graphics Interchange Format specification. There are hundreds, if not thousands, of file extensions out there. For this tutorial, you’ll only deal with .txt
or .csv
file extensions.
File Paths
When you access a file on an operating system, a file path is required. The file path is a string that represents the location of a file. It’s broken up into three major parts:
- Folder Path: the file folder location on the file system where subsequent folders are separated by a forward slash
/
(Unix) or backslash\
(Windows) - File Name: the actual name of the file
- Extension: the end of the file path pre-pended with a period (
.
) used to indicate the file type
Here’s a quick example. Let’s say you have a file located within a file structure like this:
/
│
├── path/
| │
│ ├── to/
│ │ └── cats.gif
│ │
│ └── dog_breeds.txt
|
└── animals.csv
Let’s say you wanted to access the cats.gif
file, and your current location was in the same folder as path
. In order to access the file, you need to go through the path
folder and then the to
folder, finally arriving at the cats.gif
file. The Folder Path is path/to/
. The File Name is cats
. The File Extension is .gif
. So the full path is path/to/cats.gif
.
Now let’s say that your current location or current working directory (cwd) is in the to
folder of our example folder structure. Instead of referring to the cats.gif
by the full path of path/to/cats.gif
, the file can be simply referenced by the file name and extension cats.gif
.
/
│
├── path/
| │
| ├── to/ ← Your current working directory (cwd) is here
| │ └── cats.gif ← Accessing this file
| │
| └── dog_breeds.txt
|
└── animals.csv
But what about dog_breeds.txt
? How would you access that without using the full path? You can use the special characters double-dot (..
) to move one directory up. This means that ../dog_breeds.txt
will reference the dog_breeds.txt
file from the directory of to
:
/
│
├── path/ ← Referencing this parent folder
| │
| ├── to/ ← Current working directory (cwd)
| │ └── cats.gif
| │
| └── dog_breeds.txt ← Accessing this file
|
└── animals.csv
The double-dot (..
) can be chained together to traverse multiple directories above the current directory. For example, to access animals.csv
from the to
folder, you would use ../../animals.csv
.
Line Endings
One problem often encountered when working with file data is the representation of a new line or line ending. The line ending has its roots from back in the Morse Code era, when a specific pro-sign was used to communicate the end of a transmission or the end of a line.
Later, this was standardized for teleprinters by both the International Organization for Standardization (ISO) and the American Standards Association (ASA). ASA standard states that line endings should use the sequence of the Carriage Return (CR
or \r
) and the Line Feed (LF
or \n
) characters (CR+LF
or \r\n
). The ISO standard however allowed for either the CR+LF
characters or just the LF
character.
Windows uses the CR+LF
characters to indicate a new line, while Unix and the newer Mac versions use just the LF
character. This can cause some complications when you’re processing files on an operating system that is different than the file’s source. Here’s a quick example. Let’s say that we examine the file dog_breeds.txt
that was created on a Windows system:
Pug\r\n
Jack Russell Terrier\r\n
English Springer Spaniel\r\n
German Shepherd\r\n
Staffordshire Bull Terrier\r\n
Cavalier King Charles Spaniel\r\n
Golden Retriever\r\n
West Highland White Terrier\r\n
Boxer\r\n
Border Terrier\r\n
This same output will be interpreted on a Unix device differently:
Pug\r
\n
Jack Russell Terrier\r
\n
English Springer Spaniel\r
\n
German Shepherd\r
\n
Staffordshire Bull Terrier\r
\n
Cavalier King Charles Spaniel\r
\n
Golden Retriever\r
\n
West Highland White Terrier\r
\n
Boxer\r
\n
Border Terrier\r
\n
This can make iterating over each line problematic, and you may need to account for situations like this.
Character Encodings
Another common problem that you may face is the encoding of the byte data. An encoding is a translation from byte data to human readable characters. This is typically done by assigning a numerical value to represent a character. The two most common encodings are the ASCII and UNICODE Formats. ASCII can only store 128 characters, while Unicode can contain up to 1,114,112 characters.
ASCII is actually a subset of Unicode (UTF-8), meaning that ASCII and Unicode share the same numerical to character values. It’s important to note that parsing a file with the incorrect character encoding can lead to failures or misrepresentation of the character. For example, if a file was created using the UTF-8 encoding, and you try to parse it using the ASCII encoding, if there is a character that is outside of those 128 values, then an error will be thrown.
Opening and Closing a File in Python
When you want to work with a file, the first thing to do is to open it. This is done by invoking the open()
built-in function. open()
has a single required argument that is the path to the file. open()
has a single return, the file object:
file = open('dog_breeds.txt')
After you open a file, the next thing to learn is how to close it.
Warning: You should always make sure that an open file is properly closed. To learn why, check out the Why Is It Important to Close Files in Python? tutorial.
It’s important to remember that it’s your responsibility to close the file. In most cases, upon termination of an application or script, a file will be closed eventually. However, there is no guarantee when exactly that will happen. This can lead to unwanted behavior including resource leaks. It’s also a best practice within Python (Pythonic) to make sure that your code behaves in a way that is well defined and reduces any unwanted behavior.
When you’re manipulating a file, there are two ways that you can use to ensure that a file is closed properly, even when encountering an error. The first way to close a file is to use the try-finally
block:
reader = open('dog_breeds.txt')
try:
# Further file processing goes here
finally:
reader.close()
If you’re unfamiliar with what the try-finally
block is, check out Python Exceptions: An Introduction.
The second way to close a file is to use the with
statement:
with open('dog_breeds.txt') as reader:
# Further file processing goes here
The with
statement automatically takes care of closing the file once it leaves the with
block, even in cases of error. I highly recommend that you use the with
statement as much as possible, as it allows for cleaner code and makes handling any unexpected errors easier for you.
Most likely, you’ll also want to use the second positional argument, mode
. This argument is a string that contains multiple characters to represent how you want to open the file. The default and most common is 'r'
, which represents opening the file in read-only mode as a text file:
with open('dog_breeds.txt', 'r') as reader:
# Further file processing goes here
Other options for modes are fully documented online, but the most commonly used ones are the following:
Character | Meaning |
---|---|
'r' |
Open for reading (default) |
'w' |
Open for writing, truncating (overwriting) the file first |
'rb' or 'wb' |
Open in binary mode (read/write using byte data) |
Let’s go back and talk a little about file objects. A file object is:
“an object exposing a file-oriented API (with methods such as
read()
orwrite()
) to an underlying resource.” (Source)
There are three different categories of file objects:
- Text files
- Buffered binary files
- Raw binary files
Each of these file types are defined in the io
module. Here’s a quick rundown of how everything lines up.
Text File Types
A text file is the most common file that you’ll encounter. Here are some examples of how these files are opened:
open('abc.txt')
open('abc.txt', 'r')
open('abc.txt', 'w')
With these types of files, open()
will return a TextIOWrapper
file object:
>>> file = open('dog_breeds.txt')
>>> type(file)
<class '_io.TextIOWrapper'>
This is the default file object returned by open()
.
Buffered Binary File Types
A buffered binary file type is used for reading and writing binary files. Here are some examples of how these files are opened:
open('abc.txt', 'rb')
open('abc.txt', 'wb')
With these types of files, open()
will return either a BufferedReader
or BufferedWriter
file object:
>>> file = open('dog_breeds.txt', 'rb')
>>> type(file)
<class '_io.BufferedReader'>
>>> file = open('dog_breeds.txt', 'wb')
>>> type(file)
<class '_io.BufferedWriter'>
Raw File Types
A raw file type is:
“generally used as a low-level building-block for binary and text streams.” (Source)
It is therefore not typically used.
Here’s an example of how these files are opened:
open('abc.txt', 'rb', buffering=0)
With these types of files, open()
will return a FileIO
file object:
>>> file = open('dog_breeds.txt', 'rb', buffering=0)
>>> type(file)
<class '_io.FileIO'>
Reading and Writing Opened Files
Once you’ve opened up a file, you’ll want to read or write to the file. First off, let’s cover reading a file. There are multiple methods that can be called on a file object to help you out:
Method | What It Does |
---|---|
.read(size=-1) |
This reads from the file based on the number of size bytes. If no argument is passed or None or -1 is passed, then the entire file is read. |
.readline(size=-1) |
This reads at most size number of characters from the line. This continues to the end of the line and then wraps back around. If no argument is passed or None or -1 is passed, then the entire line (or rest of the line) is read. |
.readlines() |
This reads the remaining lines from the file object and returns them as a list. |
Using the same dog_breeds.txt
file you used above, let’s go through some examples of how to use these methods. Here’s an example of how to open and read the entire file using .read()
:
>>> with open('dog_breeds.txt', 'r') as reader:
>>> # Read & print the entire file
>>> print(reader.read())
Pug
Jack Russell Terrier
English Springer Spaniel
German Shepherd
Staffordshire Bull Terrier
Cavalier King Charles Spaniel
Golden Retriever
West Highland White Terrier
Boxer
Border Terrier
Here’s an example of how to read 5 bytes of a line each time using the Python .readline()
method:
>>> with open('dog_breeds.txt', 'r') as reader:
>>> # Read & print the first 5 characters of the line 5 times
>>> print(reader.readline(5))
>>> # Notice that line is greater than the 5 chars and continues
>>> # down the line, reading 5 chars each time until the end of the
>>> # line and then "wraps" around
>>> print(reader.readline(5))
>>> print(reader.readline(5))
>>> print(reader.readline(5))
>>> print(reader.readline(5))
Pug
Jack
Russe
ll Te
rrier
Here’s an example of how to read the entire file as a list using the Python .readlines()
method:
>>> f = open('dog_breeds.txt')
>>> f.readlines() # Returns a list object
['Pug\n', 'Jack Russell Terrier\n', 'English Springer Spaniel\n', 'German Shepherd\n', 'Staffordshire Bull Terrier\n', 'Cavalier King Charles Spaniel\n', 'Golden Retriever\n', 'West Highland White Terrier\n', 'Boxer\n', 'Border Terrier\n']
The above example can also be done by using list()
to create a list out of the file object:
>>> f = open('dog_breeds.txt')
>>> list(f)
['Pug\n', 'Jack Russell Terrier\n', 'English Springer Spaniel\n', 'German Shepherd\n', 'Staffordshire Bull Terrier\n', 'Cavalier King Charles Spaniel\n', 'Golden Retriever\n', 'West Highland White Terrier\n', 'Boxer\n', 'Border Terrier\n']
Iterating Over Each Line in the File
A common thing to do while reading a file is to iterate over each line. Here’s an example of how to use the Python .readline()
method to perform that iteration:
>>> with open('dog_breeds.txt', 'r') as reader:
>>> # Read and print the entire file line by line
>>> line = reader.readline()
>>> while line != '': # The EOF char is an empty string
>>> print(line, end='')
>>> line = reader.readline()
Pug
Jack Russell Terrier
English Springer Spaniel
German Shepherd
Staffordshire Bull Terrier
Cavalier King Charles Spaniel
Golden Retriever
West Highland White Terrier
Boxer
Border Terrier
Another way you could iterate over each line in the file is to use the Python .readlines()
method of the file object. Remember, .readlines()
returns a list where each element in the list represents a line in the file:
>>> with open('dog_breeds.txt', 'r') as reader:
>>> for line in reader.readlines():
>>> print(line, end='')
Pug
Jack Russell Terrier
English Springer Spaniel
German Shepherd
Staffordshire Bull Terrier
Cavalier King Charles Spaniel
Golden Retriever
West Highland White Terrier
Boxer
Border Terrier
However, the above examples can be further simplified by iterating over the file object itself:
>>> with open('dog_breeds.txt', 'r') as reader:
>>> # Read and print the entire file line by line
>>> for line in reader:
>>> print(line, end='')
Pug
Jack Russell Terrier
English Springer Spaniel
German Shepherd
Staffordshire Bull Terrier
Cavalier King Charles Spaniel
Golden Retriever
West Highland White Terrier
Boxer
Border Terrier
This final approach is more Pythonic and can be quicker and more memory efficient. Therefore, it is suggested you use this instead.
Note: Some of the above examples contain print('some text', end='')
. The end=''
is to prevent Python from adding an additional newline to the text that is being printed and only print what is being read from the file.
Now let’s dive into writing files. As with reading files, file objects have multiple methods that are useful for writing to a file:
Method | What It Does |
---|---|
.write(string) |
This writes the string to the file. |
.writelines(seq) |
This writes the sequence to the file. No line endings are appended to each sequence item. It’s up to you to add the appropriate line ending(s). |
Here’s a quick example of using .write()
and .writelines()
:
with open('dog_breeds.txt', 'r') as reader:
# Note: readlines doesn't trim the line endings
dog_breeds = reader.readlines()
with open('dog_breeds_reversed.txt', 'w') as writer:
# Alternatively you could use
# writer.writelines(reversed(dog_breeds))
# Write the dog breeds to the file in reversed order
for breed in reversed(dog_breeds):
writer.write(breed)
Working With Bytes
Sometimes, you may need to work with files using byte strings. This is done by adding the 'b'
character to the mode
argument. All of the same methods for the file object apply. However, each of the methods expect and return a bytes
object instead:
>>> with open('dog_breeds.txt', 'rb') as reader:
>>> print(reader.readline())
b'Pug\n'
Opening a text file using the b
flag isn’t that interesting. Let’s say we have this cute picture of a Jack Russell Terrier (jack_russell.png
):
You can actually open that file in Python and examine the contents! Since the .png
file format is well defined, the header of the file is 8 bytes broken up like this:
Value | Interpretation |
---|---|
0x89 |
A “magic” number to indicate that this is the start of a PNG |
0x50 0x4E 0x47 |
PNG in ASCII |
0x0D 0x0A |
A DOS style line ending \r\n |
0x1A |
A DOS style EOF character |
0x0A |
A Unix style line ending \n |
Sure enough, when you open the file and read these bytes individually, you can see that this is indeed a .png
header file:
>>> with open('jack_russell.png', 'rb') as byte_reader:
>>> print(byte_reader.read(1))
>>> print(byte_reader.read(3))
>>> print(byte_reader.read(2))
>>> print(byte_reader.read(1))
>>> print(byte_reader.read(1))
b'\x89'
b'PNG'
b'\r\n'
b'\x1a'
b'\n'
A Full Example: dos2unix.py
Let’s bring this whole thing home and look at a full example of how to read and write to a file. The following is a dos2unix
like tool that will convert a file that contains line endings of \r\n
to \n
.
This tool is broken up into three major sections. The first is str2unix()
, which converts a string from \r\n
line endings to \n
. The second is dos2unix()
, which converts a string that contains \r\n
characters into \n
. dos2unix()
calls str2unix()
internally. Finally, there’s the __main__
block, which is called only when the file is executed as a script. Think of it as the main
function found in other programming languages.
"""
A simple script and library to convert files or strings from dos like
line endings with Unix like line endings.
"""
import argparse
import os
def str2unix(input_str: str) -> str:
r"""
Converts the string from \r\n line endings to \n
Parameters
----------
input_str
The string whose line endings will be converted
Returns
-------
The converted string
"""
r_str = input_str.replace('\r\n', '\n')
return r_str
def dos2unix(source_file: str, dest_file: str):
"""
Converts a file that contains Dos like line endings into Unix like
Parameters
----------
source_file
The path to the source file to be converted
dest_file
The path to the converted file for output
"""
# NOTE: Could add file existence checking and file overwriting
# protection
with open(source_file, 'r') as reader:
dos_content = reader.read()
unix_content = str2unix(dos_content)
with open(dest_file, 'w') as writer:
writer.write(unix_content)
if __name__ == "__main__":
# Create our Argument parser and set its description
parser = argparse.ArgumentParser(
description="Script that converts a DOS like file to an Unix like file",
)
# Add the arguments:
# - source_file: the source file we want to convert
# - dest_file: the destination where the output should go
# Note: the use of the argument type of argparse.FileType could
# streamline some things
parser.add_argument(
'source_file',
help='The location of the source '
)
parser.add_argument(
'--dest_file',
help='Location of dest file (default: source_file appended with `_unix`',
default=None
)
# Parse the args (argparse automatically grabs the values from
# sys.argv)
args = parser.parse_args()
s_file = args.source_file
d_file = args.dest_file
# If the destination file wasn't passed, then assume we want to
# create a new file based on the old one
if d_file is None:
file_path, file_extension = os.path.splitext(s_file)
d_file = f'{file_path}_unix{file_extension}'
dos2unix(s_file, d_file)
Tips and Tricks
Now that you’ve mastered the basics of reading and writing files, here are some tips and tricks to help you grow your skills.
__file__
The __file__
attribute is a special attribute of modules, similar to __name__
. It is:
“the pathname of the file from which the module was loaded, if it was loaded from a file.” (Source
Note: To re-iterate, __file__
returns the path relative to where the initial Python script was called. If you need the full system path, you can use os.getcwd()
to get the current working directory of your executing code.
Here’s a real world example. In one of my past jobs, I did multiple tests for a hardware device. Each test was written using a Python script with the test script file name used as a title. These scripts would then be executed and could print their status using the __file__
special attribute. Here’s an example folder structure:
project/
|
├── tests/
| ├── test_commanding.py
| ├── test_power.py
| ├── test_wireHousing.py
| └── test_leds.py
|
└── main.py
Running main.py
produces the following:
>>> python main.py
tests/test_commanding.py Started:
tests/test_commanding.py Passed!
tests/test_power.py Started:
tests/test_power.py Passed!
tests/test_wireHousing.py Started:
tests/test_wireHousing.py Failed!
tests/test_leds.py Started:
tests/test_leds.py Passed!
I was able to run and get the status of all my tests dynamically through use of the __file__
special attribute.
Appending to a File
Sometimes, you may want to append to a file or start writing at the end of an already populated file. This is easily done by using the 'a'
character for the mode
argument:
with open('dog_breeds.txt', 'a') as a_writer:
a_writer.write('\nBeagle')
When you examine dog_breeds.txt
again, you’ll see that the beginning of the file is unchanged and Beagle
is now added to the end of the file:
>>> with open('dog_breeds.txt', 'r') as reader:
>>> print(reader.read())
Pug
Jack Russell Terrier
English Springer Spaniel
German Shepherd
Staffordshire Bull Terrier
Cavalier King Charles Spaniel
Golden Retriever
West Highland White Terrier
Boxer
Border Terrier
Beagle
Working With Two Files at the Same Time
There are times when you may want to read a file and write to another file at the same time. If you use the example that was shown when you were learning how to write to a file, it can actually be combined into the following:
d_path = 'dog_breeds.txt'
d_r_path = 'dog_breeds_reversed.txt'
with open(d_path, 'r') as reader, open(d_r_path, 'w') as writer:
dog_breeds = reader.readlines()
writer.writelines(reversed(dog_breeds))
Creating Your Own Context Manager
There may come a time when you’ll need finer control of the file object by placing it inside a custom class. When you do this, using the with
statement can no longer be used unless you add a few magic methods: __enter__
and __exit__
. By adding these, you’ll have created what’s called a context manager.
__enter__()
is invoked when calling the with
statement. __exit__()
is called upon exiting from the with
statement block.
Here’s a template that you can use to make your custom class:
class my_file_reader():
def __init__(self, file_path):
self.__path = file_path
self.__file_object = None
def __enter__(self):
self.__file_object = open(self.__path)
return self
def __exit__(self, type, val, tb):
self.__file_object.close()
# Additional methods implemented below
Now that you’ve got your custom class that is now a context manager, you can use it similarly to the open()
built-in:
with my_file_reader('dog_breeds.txt') as reader:
# Perform custom class operations
pass
Here’s a good example. Remember the cute Jack Russell image we had? Perhaps you want to open other .png
files but don’t want to parse the header file each time. Here’s an example of how to do this. This example also uses custom iterators. If you’re not familiar with them, check out Python Iterators:
class PngReader():
# Every .png file contains this in the header. Use it to verify
# the file is indeed a .png.
_expected_magic = b'\x89PNG\r\n\x1a\n'
def __init__(self, file_path):
# Ensure the file has the right extension
if not file_path.endswith('.png'):
raise NameError("File must be a '.png' extension")
self.__path = file_path
self.__file_object = None
def __enter__(self):
self.__file_object = open(self.__path, 'rb')
magic = self.__file_object.read(8)
if magic != self._expected_magic:
raise TypeError("The File is not a properly formatted .png file!")
return self
def __exit__(self, type, val, tb):
self.__file_object.close()
def __iter__(self):
# This and __next__() are used to create a custom iterator
# See https://dbader.org/blog/python-iterators
return self
def __next__(self):
# Read the file in "Chunks"
# See https://en.wikipedia.org/wiki/Portable_Network_Graphics#%22Chunks%22_within_the_file
initial_data = self.__file_object.read(4)
# The file hasn't been opened or reached EOF. This means we
# can't go any further so stop the iteration by raising the
# StopIteration.
if self.__file_object is None or initial_data == b'':
raise StopIteration
else:
# Each chunk has a len, type, data (based on len) and crc
# Grab these values and return them as a tuple
chunk_len = int.from_bytes(initial_data, byteorder='big')
chunk_type = self.__file_object.read(4)
chunk_data = self.__file_object.read(chunk_len)
chunk_crc = self.__file_object.read(4)
return chunk_len, chunk_type, chunk_data, chunk_crc
You can now open .png
files and properly parse them using your custom context manager:
>>> with PngReader('jack_russell.png') as reader:
>>> for l, t, d, c in reader:
>>> print(f"{l:05}, {t}, {c}")
00013, b'IHDR', b'v\x121k'
00001, b'sRGB', b'\xae\xce\x1c\xe9'
00009, b'pHYs', b'(<]\x19'
00345, b'iTXt', b"L\xc2'Y"
16384, b'IDAT', b'i\x99\x0c('
16384, b'IDAT', b'\xb3\xfa\x9a$'
16384, b'IDAT', b'\xff\xbf\xd1\n'
16384, b'IDAT', b'\xc3\x9c\xb1}'
16384, b'IDAT', b'\xe3\x02\xba\x91'
16384, b'IDAT', b'\xa0\xa99='
16384, b'IDAT', b'\xf4\x8b.\x92'
16384, b'IDAT', b'\x17i\xfc\xde'
16384, b'IDAT', b'\x8fb\x0e\xe4'
16384, b'IDAT', b')3={'
01040, b'IDAT', b'\xd6\xb8\xc1\x9f'
00000, b'IEND', b'\xaeB`\x82'
Don’t Re-Invent the Snake
There are common situations that you may encounter while working with files. Most of these cases can be handled using other modules. Two common file types you may need to work with are .csv
and .json
. Real Python has already put together some great articles on how to handle these:
Additionally, there are built-in libraries out there that you can use to help you:
wave
: read and write WAV files (audio)aifc
: read and write AIFF and AIFC files (audio)sunau
: read and write Sun AU filestarfile
: read and write tar archive fileszipfile
: work with ZIP archivesconfigparser
: easily create and parse configuration filesxml.etree.ElementTree
: create or read XML based filesmsilib
: read and write Microsoft Installer filesplistlib
: generate and parse Mac OS X.plist
files
There are plenty more out there. Additionally there are even more third party tools available on PyPI. Some popular ones are the following:
You’re a File Wizard Harry!
You did it! You now know how to work with files with Python, including some advanced techniques. Working with files in Python should now be easier than ever and is a rewarding feeling when you start doing it.
In this tutorial you’ve learned:
- What a file is
- How to open and close files properly
- How to read and write files
- Some advanced techniques when working with files
- Some libraries to work with common file types
If you have any questions, hit us up in the comments.
Take the Quiz: Test your knowledge with our interactive “Reading and Writing Files in Python” quiz. You’ll receive a score upon completion to help you track your learning progress:
Interactive Quiz
Reading and Writing Files in PythonA quiz used for testing the user's knowledge of the topics covered in the Reading and Writing Files in Python article.
Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Reading and Writing Files in Python