Hey! If you love Python and building Python apps as much as I do, let's connect on Twitter or LinkedIn. I talk about this stuff all the time!

Inputting Lists in Python

Learn how to input a list in Python, including common use cases and best practices for working with lists. …


Updated June 1, 2023

Learn how to input a list in Python, including common use cases and best practices for working with lists.

What is Inputting a List?

Inputting a list in Python refers to the process of assigning a collection of values to a variable. This allows you to store multiple values under a single name, making it easier to work with data.

Definition of a List

In Python, a list is a type of data structure that can hold an ordered collection of values. Lists are denoted by square brackets [] and can contain values of any data type, including strings, integers, floats, and other lists.

Why Input a List?

Inputting a list in Python provides several benefits:

  • Improved code organization: By storing related values together, you can write more organized and efficient code.
  • Increased flexibility: Lists allow you to easily add or remove elements as needed.
  • Better data manipulation: With lists, you can perform various operations, such as sorting, searching, and indexing.

Step-by-Step Guide to Inputting a List

Here’s how to input a list in Python:

Method 1: Directly Assigning Values

You can create a list by directly assigning values within square brackets:

# Create a list of colors
colors = ['red', 'green', 'blue']

print(colors)

Output:

['red', 'green', 'blue']

Method 2: Using the list() Function

Alternatively, you can use the list() function to create an empty list and then add values:

# Create an empty list
fruits = []

# Add fruits to the list
fruits.append('apple')
fruits.append('banana')
fruits.append('cherry')

print(fruits)

Output:

['apple', 'banana', 'cherry']

Common Use Cases for Lists

Here are some common use cases for lists:

  • Storing multiple values: When you need to store more than one value, a list is an ideal choice.
  • Dynamic arrays: If the number of elements changes frequently, a list can help you avoid unnecessary memory allocation.

Best Practices for Working with Lists

Here are some best practices to keep in mind when working with lists:

  • Use meaningful variable names: Clearly indicate what your list represents.
  • Keep it organized: Avoid adding unrelated values to the same list.
  • Be mindful of indexing: Ensure that you’re using valid index values.

Conclusion

Inputting a list in Python is a fundamental concept that allows you to store and manipulate collections of values. By following these guidelines and best practices, you’ll become proficient in working with lists and unlocking their full potential for your Python projects.

Stay up to date on the latest in Python, AI, and Data Science

Intuit Mailchimp