Summary  
This chapter covers writing idiomatic Python code by leveraging constructs such as list comprehensions, tuple unpacking, and built-in functions to produce clear, concise, and efficient code.  

General domain of usage  
Data processing

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`, and `sum` to perform common tasks efficiently.

Employing these constructs makes your code cleaner, more efficient, and easier to understand for other Python developers.

# 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)

Which of the following is considered Pythonic?

Master the principles of writing clean, maintainable, and efficient Python code. Learn to identify code smells, apply refactoring techniques, and adopt best practices for code quality. Practice your skills with hands-on tasks designed for those familiar with basic Python syntax.

Explore the fundamental concepts of code quality, why it matters, and how to recognize poor code in Python.

Delve into practical refactoring methods to enhance Python code structure and eliminate code smells.

Adopt Pythonic conventions and idioms to write elegant, efficient, and maintainable code.

Learn strategies for maintaining code quality over time, including documentation, testing, and code reviews.

Writing Pythonic Code

1. Which of the following is considered Pythonic?

2. Select all idiomatic Python constructs.