Python Range Function

When to use range function in python

for i in range(1, 11):
    print(i)

arr = [10, 20, 30, 40, 50]
for i in range(len(arr)):
    print("Element at index", i, "is", arr[i])

even_numbers = list(range(2, 21, 2))
print(even_numbers)

How does the range function work in python?

In Python, the range function generates a sequence of numbers at runtime, allowing you to create a range object that indicates a certain length or a specific set of numerical values with well-defined intervals. This is particularly useful for controlling the flow of loops and accessing elements within lists and arrays by index.

Syntax and parameters of python range function

The difference between python 2 range and python 3 range

How to use the range function in python

Using the range function in python allows you to generate a sequence of numbers on-the-fly, which is particularly useful for controlling loop executions, accessing list items by index, or generating lists with a consistent interval between elements. In this section, we will explore various examples and use cases of the python range function.

Python range function examples

for i in range(5):
    print(i)

0
1
2
3
4

for i in range(3, 9):
    print(i)

3
4
5
6
7
8

How do you write a range in Python? Various use-cases

for i in range(2, 11, 2):
    print(i)

2
4
6
8
10

When working with lists, you can use the range function combined with the len() function to loop over the list's items by their indices, which is helpful for performing index-based operations.

fruits = ['apple', 'banana', 'cherry', 'orange']
for i in range(len(fruits)):
    print("Fruit at index", i, "is", fruits[i])

Fruit at index 0 is apple
Fruit at index 1 is banana
Fruit at index 2 is cherry
Fruit at index 3 is orange

for i in range(10, 0, -1):
    print(i)

10
9
8
7
6
5
4
3
2
1

Tips and tricks for working with the Python range function

Generating sequences with the range function

The Python range function is a helpful tool for generating numerical sequences, specifically when you want to iterate over a specific number of times or create lists with consistent intervals between elements. To get the most out of the range function, let's look at some tips and tricks for generating sequences efficiently and effectively.

number_list = list(range(1, 6))
print(number_list)

[1, 2, 3, 4, 5]

import numpy as np

floating_range = np.arange(0, 1, 0.1)
print(list(floating_range))

[0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]

squared_odds = [x ** 2 for x in range(1, 10, 2)]
print(squared_odds)

[1, 9, 25, 49, 81]

import itertools

range_1 = range(1, 5)
range_2 = range(10, 15)
combined_range = list(itertools.chain(range_1, range_2))
print(combined_range)

[1, 2, 3, 4, 10, 11, 12, 13, 14]

Range function compatibility with other Python elements

In addition to the aforementioned tips, it is essential to understand how the range function can interact with other Python elements and libraries. Many functions, methods, and operators are compatible with the range function, which further expands its usefulness and flexibility.

for i in range(1, 6):
    if i % 2 == 0:
        print(i, "is even")
    else:
        print(i, "is odd")

range_obj = range(1, 11)
total = sum(range_obj)
print("Sum of numbers from 1 to 10:", total)

import numpy as np

range_obj = range(1, 6)
double_range = np.array(range_obj) * 2
print(list(double_range))