Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Leer Using Built-in Functions Effectively | Pythonic Best Practices
Code Quality and Refactoring in Python

bookUsing Built-in Functions Effectively

Understanding and applying Python's built-in functions is essential for writing code that is both concise and efficient. Python provides a rich set of functions such as map, filter, zip, and enumerate that allow you to process data collections in a more Pythonic way. These functions help you avoid verbose loops, reduce boilerplate, and express your intent more clearly.

  • map lets you apply a function to every item in a list;
  • filter helps you select elements based on a condition;
  • zip combines elements from multiple lists into pairs or tuples;
  • enumerate provides both the index and value when iterating over a collection.

Using these tools, you can simplify your code and make it easier to read and maintain.

1234567
# Suppose you have two lists of numbers and want to multiply their corresponding elements. list_a = [1, 2, 3, 4] list_b = [10, 20, 30, 40] # Using zip and a list comprehension, you can pair and multiply elements concisely: products = [a * b for a, b in zip(list_a, list_b)] print("Products of paired elements:", products)
copy

1. Which built-in function can be used to pair elements from two lists?

2. Which built-in functions help make code more Pythonic?

question mark

Which built-in function can be used to pair elements from two lists?

Select the correct answer

question mark

Which built-in functions help make code more Pythonic?

Select the correct answer

Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 3. Hoofdstuk 3

Vraag AI

expand

Vraag AI

ChatGPT

Vraag wat u wilt of probeer een van de voorgestelde vragen om onze chat te starten.

bookUsing Built-in Functions Effectively

Veeg om het menu te tonen

Understanding and applying Python's built-in functions is essential for writing code that is both concise and efficient. Python provides a rich set of functions such as map, filter, zip, and enumerate that allow you to process data collections in a more Pythonic way. These functions help you avoid verbose loops, reduce boilerplate, and express your intent more clearly.

  • map lets you apply a function to every item in a list;
  • filter helps you select elements based on a condition;
  • zip combines elements from multiple lists into pairs or tuples;
  • enumerate provides both the index and value when iterating over a collection.

Using these tools, you can simplify your code and make it easier to read and maintain.

1234567
# Suppose you have two lists of numbers and want to multiply their corresponding elements. list_a = [1, 2, 3, 4] list_b = [10, 20, 30, 40] # Using zip and a list comprehension, you can pair and multiply elements concisely: products = [a * b for a, b in zip(list_a, list_b)] print("Products of paired elements:", products)
copy

1. Which built-in function can be used to pair elements from two lists?

2. Which built-in functions help make code more Pythonic?

question mark

Which built-in function can be used to pair elements from two lists?

Select the correct answer

question mark

Which built-in functions help make code more Pythonic?

Select the correct answer

Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 3. Hoofdstuk 3
some-alt