Writing Pythonic Code
Writing Pythonic code means using the idioms and features that make Python unique, expressive, and readable.
Pythonic code favors clarity, simplicity, and the use of the language's built-in capabilities. Instead of translating code patterns from other languages, you should take advantage of Python's expressive syntax and standard library.
Key Pythonic techniques include:
- Using list comprehensions for concise looping and filtering;
- Applying unpacking to assign multiple variables at once;
- Leveraging built-in functions such as
map,filter,any,all, andsumto perform common tasks efficiently.
Employing these constructs makes your code cleaner, more efficient, and easier to understand for other Python developers.
12345678910111213141516171819202122232425# Non-Pythonic approach: using loops and manual accumulation numbers = [1, 2, 3, 4, 5] squares = [] for n in numbers: squares.append(n * n) even_squares = [] for s in squares: if s % 2 == 0: even_squares.append(s) print("Even squares (non-Pythonic):", even_squares) # Pythonic approach: using list comprehensions and built-in functions numbers = [1, 2, 3, 4, 5] squares = [n * n for n in numbers] even_squares = [s for s in squares if s % 2 == 0] print("Even squares (Pythonic):", even_squares) # Unpacking example (Pythonic) point = (3, 4) x, y = point print(f"Coordinates: x={x}, y={y}") # Using built-in functions (Pythonic) total = sum(numbers) print("Sum of numbers:", total)
1. Which of the following is considered Pythonic?
2. Select all idiomatic Python constructs.
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Can you explain more Pythonic techniques with examples?
What are some common mistakes that make code non-Pythonic?
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Writing Pythonic code means using the idioms and features that make Python unique, expressive, and readable.
Pythonic code favors clarity, simplicity, and the use of the language's built-in capabilities. Instead of translating code patterns from other languages, you should take advantage of Python's expressive syntax and standard library.
Key Pythonic techniques include:
- Using list comprehensions for concise looping and filtering;
- Applying unpacking to assign multiple variables at once;
- Leveraging built-in functions such as
map,filter,any,all, andsumto perform common tasks efficiently.
Employing these constructs makes your code cleaner, more efficient, and easier to understand for other Python developers.
12345678910111213141516171819202122232425# Non-Pythonic approach: using loops and manual accumulation numbers = [1, 2, 3, 4, 5] squares = [] for n in numbers: squares.append(n * n) even_squares = [] for s in squares: if s % 2 == 0: even_squares.append(s) print("Even squares (non-Pythonic):", even_squares) # Pythonic approach: using list comprehensions and built-in functions numbers = [1, 2, 3, 4, 5] squares = [n * n for n in numbers] even_squares = [s for s in squares if s % 2 == 0] print("Even squares (Pythonic):", even_squares) # Unpacking example (Pythonic) point = (3, 4) x, y = point print(f"Coordinates: x={x}, y={y}") # Using built-in functions (Pythonic) total = sum(numbers) print("Sum of numbers:", total)
1. Which of the following is considered Pythonic?
2. Select all idiomatic Python constructs.
Дякуємо за ваш відгук!
