What is Pythonic?

Pythonic code refers to code that is written in a way that is idiomatic to Python, taking advantage of its features and conventions to produce clear, concise, and readable code.

Here are some examples showcasing Pythonic principles:

1. List Comprehensions

Not Pythonic:

1squares = [] 
2for x in range(10): 
3    squares.append(x**2) 

Pythonic:

1squares = [x**2 for x in range(10)]

2. Using enumerate()

Not Pythonic:

1index = 0 
2for value in my_list: 
3    print(index, value) 
4    index += 1 

Pythonic:

1for index, value in enumerate(my_list): 
2    print(index, value) 

3. Using zip()

Not Pythonic:

1names = ['Alice', 'Bob', 'Charlie'] 
2ages = [24, 30, 22] 
3combined = [] 
4for i in range(len(names)): 
5    combined.append((names[i], ages[i])) 

Pythonic:

1combined = list(zip(names, ages))

4. Using with for File Operations

Not Pythonic:

1file = open('data.txt', 'r') 
2data = file.read() 
3file.close() 

Pythonic:

1with open('data.txt', 'r') as file: 
2    data = file.read() 

5. Using Generators for Efficient Iteration

Not Pythonic:

1def get_even_numbers(n): 
2    even_numbers = [] 
3    for i in range(n): 
4        if i % 2 == 0: 
5            even_numbers.append(i) 
6    return even_numbers 

Pythonic:

1def get_even_numbers(n): 
2    return (i for i in range(n) if i % 2 == 0) 

6. Using any() and all()

Not Pythonic:

1if len(my_list) > 0: 
2    has_values = True 
3else: 
4    has_values = False 

Pythonic:

1has_values = bool(my_list)

7. Conditional Expressions (Ternary Operator)

Not Pythonic:

1if condition: 
2    result = 'Yes' 
3else: 
4    result = 'No' 

Pythonic:

1result = 'Yes' if condition else 'No'

8. Leveraging Default Dictionary

Not Pythonic:

1counts = {} 
2for word in words: 
3    if word in counts: 
4        counts[word] += 1 
5    else: 
6        counts[word] = 1 

Pythonic:

 1from collections import defaultdict 
 2 
 3counts = defaultdict(int) 
 4for word in words: 
 5    counts[word] += 1 
 6
 7# OR
 8
 9counts = {}
10for word in words::
11    counts[word] = dcounts.get(word, 0) + 1 

Conclusion

Pythonic code emphasizes readability and efficiency, often leveraging built-in functions and language features to reduce boilerplate code. By adopting these idioms, you can write code that is not only functional but also elegant and easy to understand.