Python's List Comprehensions provide a compact and elegant way to create lists. They offer a more readable and often more performant alternative to traditional loops for list creation and transformation.
Output:
#Python #ListComprehensions #PythonTips #CodeOptimization #Programming #DataStructures #PythonicCode
---
By: @DataScienceQ🧡
# Create a list of squares using a traditional loop
squares_loop = []
for i in range(5):
squares_loop.append(i i)
print(f"Traditional loop: {squares_loop}")
Achieve the same with a list comprehension
squares_comprehension = [i i for i in range(5)]
print(f"List comprehension: {squares_comprehension}")
List comprehension with a condition (even numbers only)
even_numbers_squared = [i * i for i in range(10) if i % 2 == 0]
print(f"Even numbers squared: {even_numbers_squared}")
Output:
Traditional loop: [0, 1, 4, 9, 16]
List comprehension: [0, 1, 4, 9, 16]
Even numbers squared: [0, 4, 16, 36, 64]
#Python #ListComprehensions #PythonTips #CodeOptimization #Programming #DataStructures #PythonicCode
---
By: @DataScienceQ
Please open Telegram to view this post
VIEW IN TELEGRAM
Combine multiple iterables into one with
Instead of:
Use
#PythonTip #ZipFunction #Iterators #PythonicCode
---
By: @DataScienceQ ✨
zip()!Instead of:
names = ['Alice', 'Bob', 'Charlie']
ages = [30, 24, 35]
for i in range(len(names)):
print(f"{names[i]} is {ages[i]} years old.")
Use
zip() for a cleaner and more Pythonic approach:names = ['Alice', 'Bob', 'Charlie']
ages = [30, 24, 35]
for name, age in zip(names, ages):
print(f"{name} is {age} years old.")
zip() stops when the shortest iterable is exhausted. Perfect for parallel iteration!#PythonTip #ZipFunction #Iterators #PythonicCode
---
By: @DataScienceQ ✨
🧠 Quiz: Which Pythonic approach is generally preferred for creating a new list by transforming elements from an existing list?
A) Using a
B) Using a list comprehension
C) Using the
D) Using a
✅ Correct answer: B
Explanation: List comprehensions are often more concise, readable, and generally more performant than explicit
#PythonTips #PythonicCode #ListComprehensions
---
By: @DataScienceQ ✨
A) Using a
for loop with list.append()B) Using a list comprehension
C) Using the
map() function followed by list()D) Using a
while loop with list.append()✅ Correct answer: B
Explanation: List comprehensions are often more concise, readable, and generally more performant than explicit
for loops or map() for creating new lists based on existing iterables. They encapsulate the iteration and creation logic cleanly.#PythonTips #PythonicCode #ListComprehensions
---
By: @DataScienceQ ✨
❤1