What is Python slicing?

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Introduction

Python slicing is a process by which we can extract information from a list, a sequence or a tuple.

It will allow you to access a subset of information from a sequence without modifying the original data.

Basic Syntax of Python Slicing:

sequence[start:stop:step]

  • start: The index of the first element to include in the slice (inclusive). If not specified, it defaults to the beginning of the sequence (0).
  • stop: The index of the element to stop at (exclusive). If not specified, it defaults to the end of the sequence.
  • step: The step value determines the interval between the indices to include in the slice. If not specified, it defaults to 1.

Examples of Slicing:

Basic Slicing on a List


# Example
my_list = [10, 20, 30, 40, 50]

# Slicing from index 1 to index 3 (exclusive)
print(my_list[1:3])  # Output: [20, 30]

Slicing with Step


my_list = [10, 20, 30, 40, 50]

# Slicing with a step of 2 (every second element)
print(my_list[0:5:2])  # Output: [10, 30, 50]

Omitting Parameters

  • Start omitted: If start is omitted, the slice begins at the start of the sequence.
  • Stop omitted: If stop is omitted, the slice goes to the end of the sequence.
  • Step omitted: If step is omitted, the slice includes every element between start and stop.

my_list = [10, 20, 30, 40, 50]

# Slicing from index 2 to the end of the list
print(my_list[2:])  # Output: [30, 40, 50]

# Slicing from the start to index 3 (exclusive)
print(my_list[:3])  # Output: [10, 20, 30]

# Slicing the entire list
print(my_list[:])   # Output: [10, 20, 30, 40, 50]

# Slicing with a negative step (reverse the list)
print(my_list[::-1])  # Output: [50, 40, 30, 20, 10]

Detailed Breakdown:

  • Start Index: The starting index of the slice. If start is omitted, it defaults to the first element (index 0).
  • Stop Index: The stopping index of the slice. The slice includes elements up to, but not including, the element at the stop index.
  • Step: The step determines the interval between indices. For example, a step of 2 would return every second element from the slice range.

Example of Negative Indices and Slicing:

Negative indices can be used in slicing to count from the end of the sequence instead of the beginning.


my_list = [10, 20, 30, 40, 50]

# Slicing with negative indices (counting from the end)
print(my_list[-3:-1])  # Output: [30, 40]

# Slicing with negative step (reversing the order)
print(my_list[::-1])  # Output: [50, 40, 30, 20, 10]

Use Cases of Slicing:

  • Extracting sub-lists or sub-strings.
  • Reversing a sequence (using a negative step).
  • Skipping elements in a sequence by setting a custom step.
  • Creating shallow copies of sequences (my_list[:]).

Conclusion of Python slicing:

Slicing in Python is a powerful tool for working with sequences like lists, strings, and tuples. It allows you to easily extract parts of a sequence based on a range of indices, and its flexibility in terms of specifying start, stop, and step values makes it a versatile feature for handling sequences in Python.


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