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set comprehension in python
Overview:
Set comprehension could be a way to form a new set from an iterable object, such as a list or a tuple. It can assist you in writing more expressive code 💻 and spare time 🕐. In this lesson, we'll jump deeper into set comprehension, covering its syntax 💬, how to utilize it, and a few best practices to take after 📜.
What is Set Comprehension?
Set comprehension may be a concise and capable way to make a new set based on an existing iterable object, such as a list, a tuple, or a run. It permits you to write code in a more expressive way 📝📝 and can spare you a lot of time and exertion.
Syntax
Set comprehension has a simple and elegant syntax that consists of two parts:
new_set = {expression for variable in iterable if condition}
The for loop and the if statement are the two fundamental building blocks of set comprehension. The for loop iterates over the iterable object 🔃, and the if statement filters the elements based on a condition.
Let's see some examples of set comprehension in action.
Creating a new set of squared values
numbers = [1, 2, 3, 4, 5]
squared_numbers = {x**2 for x in numbers}
print(squared_numbers)
In this example, we're creating a new set called squared_numbers that contains the squared values of the elements in the numbers list.
Filtering elements in a list
numbers = [1, 2, 3, 4, 5]
even_numbers = {x for x in numbers if x % 2 == 0}
print(even_numbers)
In this example, we're creating a new set called even_numbers that contains only the even numbers from the numbers list.
Using a set comprehension with strings
words = ['apple', 'banana', 'cherry']
vowels = {'a', 'e', 'i', 'o', 'u'}
vowel_words = {word for word in words if any(letter in vowels for letter in word)}
print(vowel_words)
In this example, we're creating a new set called vowel_words that contains only the words from the words list that contain at least one vowel.
Best Practices
Here are some best practices to follow when using set comprehension in your code:
Conclusion
Set comprehension is a powerful and elegant feature of Python that allows you to create new sets easily. It can help you write more concise and readable code 📝📝, saving you time and effort 🕙. By following best practices 📖📖 and using set comprehension effectively, you can make your Python code more efficient and expressive.
Key Takeaways
Quiz
Answer: a. A way to create a new set based on an existing iterable object
Answer: a. new_set = {expression for variable in iterable if condition}
Answer: d. It filters the elements based on a condition
Answer: b. {x for x in numbers if x % 2 == 0}
Answer: a. Keep it simple, use meaningful variable names, and use curly braces to increase readability
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