What is Pythonic?
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.