A single-line for loop is also known as a list comprehension. It allows you to iterate over a sequence, apply an expression or transformation to each element, and create a new list in a concise one-line syntax.
Here’s the general syntax for a single-line for loop or list comprehension in Python:
new_list = [expression for item in sequence]
To create a single-line for loop, you need to follow these steps:
- Define the expression or transformation you want to apply to each item.
- Specify the loop variable (item) that represents each element of the sequence.
- Provide the sequence you want to iterate over.
Here’s a similar example that demonstrates the use of a single-line for loop with a conditional statement:
fruits = ['apple', 'banana', 'orange', 'kiwi', 'mango'] selected_fruits = [fruit.upper() for fruit in fruits if len(fruit) > 5] print(selected_fruits)
In this example, the single-line for loop iterates over each fruit in the
fruits list. The conditional statement
if len(fruit) > 5 filters out fruits that have a length greater than 5 characters.
The filtered fruits are then transformed to uppercase using the
upper() method, and the resulting list of selected fruits is stored in the
selected_fruits list is printed as the output, showing the uppercase names of the fruits that met the condition.
What is a for loop in one line called?
A for loop written in one line is commonly known as a “list comprehension” in Python. List comprehensions provide a concise way to create lists by iterating over a sequence, applying an expression or transformation to each element, and collecting the results in a new list. They are often used when you want to perform a simple operation on each element of a sequence and generate a new list based on that operation.
List comprehensions can also include conditional statements to filter the elements or apply additional conditions. This allows for more complex transformations or filtering within a single line of code.
In addition to list comprehensions, Python also has other similar constructs, such as set comprehensions and dictionary comprehensions, which follow a similar syntax and allow you to create sets and dictionaries in a concise manner.
However, it’s worth noting that while list comprehensions provide a compact and expressive way to write simple for loops, it’s important to balance conciseness with code readability. In some cases, using a regular for loop with multiple lines may be more appropriate, especially for complex operations or when the code needs to be more easily understood by others.
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