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  1. Python
  2. Unlocking Python: Foundations for Coding
Data Type: Bytes : Data Type: Memoryview
Unlocking Python: Foundations for Coding

Bytearray

Understanding Bytearray

A bytearray in Python is a mutable sequence of integers in the range 0 <= x < 256. It's essentially a modifiable version of the bytes object.

Creating a Bytearray

Similar to bytes, bytearrays can be created in several ways:

  • From a string:

Python

text = "Python is interesting."

byte_array = bytearray(text, 'utf-8')

print(byte_array)  # Output: bytearray(b'Python is interesting.')

  • From an iterable of integers:

Python

byte_array = bytearray([65, 66, 67])

print(byte_array)  # Output: bytearray(b'ABC')

  • From a given size:

Python

byte_array = bytearray(5)

print(byte_array)  # Output: bytearray(b'\x00\x00\x00\x00\x00')

Modifying Bytearrays

Unlike bytes, bytearrays can be modified in place.

Python

byte_array = bytearray(b'Hello')

byte_array[0] = ord('J')  # Replace the first character with 'J'

print(byte_array)  # Output: bytearray(b'Jello')

Common Operations

Similar to bytes, bytearrays support slicing, concatenation, membership testing, and length operations. Additionally, they have methods for modifying the content.

Key Differences Between Bytes and Bytearray

Feature

Bytes

Bytearray

Mutability

Immutable

Mutable

Modification

Not allowed

Allowed

Use cases

Read-only binary data

Modifiable binary data

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Use Cases

Bytearrays are often used when you need to manipulate binary data in place, such as network communication, image processing, or data serialization.

Example:

Python

data = bytearray(b'Hello')

data[0] = ord('J')  # Modify the first byte

print(data)  # Output: bytearray(b'Jello')

In summary, bytearrays provide a flexible way to work with binary data when modifications are required. Understanding the difference between bytes and bytearrays is crucial for effective data handling in Python.

 

Data Type: Bytes Data Type: Memoryview
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