Python bytes vs bytearray

What’s the Difference Between bytes() and bytearray()?

The difference between bytes() and bytearray() is that bytes() returns an immutable and bytearray() returns a mutable object. So you can modify a bytearray but not bytes type.

Here’s a minimal example that nicely demonstrates the difference of the two functions:

>>> a = bytes(3)
>>> b = bytearray(3)
>>> a
b'\x00\x00\x00'
>>> b
bytearray(b'\x00\x00\x00')
>>> a[0] = 1
Traceback (most recent call last):
  File "<pyshell#16>", line 1, in <module>
    a[0] = 1
TypeError: 'bytes' object does not support item assignment
>>> b[0] = 1
>>> b
bytearray(b'\x01\x00\x00')

You create two variables a and b. The former is a bytes and the latter a bytearray—both encoding the same data.

However, if you try to modify the bytes object, Python raises a TypeError: 'bytes' object does not support item assignment.

You resolve the error by using a bytearray object instead — if you modify it using item assignment such as b[0] = 1, the error disappears.

The reason is that unlike bytes, the bytearray type is mutable.

🌍 Recommended Tutorial: Python Mutable vs Immutable Objects

Let’s recap both functions quickly. Afterward, we will do a performance comparison in case you wondered which is faster!

Python bytes()

Python bytes() | Complete Guide

Python’s built-in bytes(source) function creates an immutable bytes object initialized as defined in the function argument source.

A bytes object is like a string but it uses only byte characters consisting of a sequence of 8-bit integers in the range 0<=x<256.

The returned byte object is immutable—you cannot change it after creation. If you plan to change the contents, use the bytearray() method to create a mutable bytearray object.

# Single Integer Input Argument
print(bytes())
print(bytes(2))
print(bytes(4))

'''
b''
b'\x00\x00'
b'\x00\x00\x00\x00'
'''

🌍 Recommended Tutorial: Python bytes() Built-in Function

Python bytearray()

Python bytearray() | How to Convert a List of Ints to a Byte Array?

Python’s built-in bytearray() function takes an iterable such as a list of integers between 0 and 256, converts them to bytes between 00000000 and 11111111, and returns a new array of bytes as a bytearray class.

# Single Integer Input Argument
print(bytearray())
print(bytearray(2))
print(bytearray(4))

'''
bytearray(b'')
bytearray(b'\x00\x00')
bytearray(b'\x00\x00\x00\x00')
'''

🌍 Recommended Tutorial: Python bytearray() Built-in Function

Performance bytes() vs bytearray()

Creating a large bytes object (e.g., 100 million bytes) using bytes() is faster than creating a bytearray with bytearray() because the mutability of the latter comes at a performance cost.

In our experiment creating objects of 100 million bytes, we have seen a performance speedup of 3x using bytes() compared to bytearray().

Here’s the code of the simple experiment setup:

import time


n = 100000000

start = time.time()
b = bytes(b'x' * n)
stop = time.time()
print('bytes()', stop - start)


start = time.time()
b = bytearray(b'x' * n)
stop = time.time()
print('bytearray()', stop - start)

I ran the experiment multiple times on my Win Intel Core i7 CPU with 8GB of RAM and obtained the following output:

= RESTART:
bytes() 0.02437591552734375
bytearray() 0.07250618934631348
>>> 
= RESTART:
bytes() 0.015362262725830078
bytearray() 0.0646059513092041
>>> 
= RESTART:
bytes() 0.017394542694091797
bytearray() 0.05153799057006836
>>> 
= RESTART: 
bytes() 0.013019084930419922
bytearray() 0.0436251163482666
>>> 
= RESTART: 
bytes() 0.011996746063232422
bytearray() 0.042777299880981445

So the difference is roughly 3-4x in performance: bytes() is 300-400% faster than bytearray().

However, don’t let this tiny performance edge fool you!

It’s better to ignore this fact and optimize for readability and suitability to the problem at hand.

• Do you need to change the data structure holding bytes after creation? Use the mutable bytearray().
• Do you create the data structure once and then only read its information? Use the immutable bytes().

In all cases, don’t do premature optimization!

👉 Recommended Tutorial: Premature Optimization is the Root of All Evil

Where to Go From Here?

Thanks for reading the whole tutorial—I hope you got some valuable pieces of knowledge out of it.

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