ispythonic.md
· 2.4 KiB · Markdown
Raw
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:
```python
squares = []
for x in range(10):
squares.append(x**2)
```
Pythonic:
```python
squares = [x**2 for x in range(10)]
```
### 2. Using enumerate()
Not Pythonic:
```python
index = 0
for value in my_list:
print(index, value)
index += 1
```
Pythonic:
```python
for index, value in enumerate(my_list):
print(index, value)
```
### 3. Using zip()
Not Pythonic:
```python
names = ['Alice', 'Bob', 'Charlie']
ages = [24, 30, 22]
combined = []
for i in range(len(names)):
combined.append((names[i], ages[i]))
```
Pythonic:
```python
combined = list(zip(names, ages))
```
### 4. Using with for File Operations
Not Pythonic:
```python
file = open('data.txt', 'r')
data = file.read()
file.close()
```
Pythonic:
```python
with open('data.txt', 'r') as file:
data = file.read()
```
### 5. Using Generators for Efficient Iteration
Not Pythonic:
```python
def get_even_numbers(n):
even_numbers = []
for i in range(n):
if i % 2 == 0:
even_numbers.append(i)
return even_numbers
```
Pythonic:
```python
def get_even_numbers(n):
return (i for i in range(n) if i % 2 == 0)
```
### 6. Using any() and all()
Not Pythonic:
```python
if len(my_list) > 0:
has_values = True
else:
has_values = False
```
Pythonic:
```python
has_values = bool(my_list)
```
### 7. Conditional Expressions (Ternary Operator)
Not Pythonic:
```python
if condition:
result = 'Yes'
else:
result = 'No'
```
Pythonic:
```python
result = 'Yes' if condition else 'No'
```
### 8. Leveraging Default Dictionary
Not Pythonic:
```python
counts = {}
for word in words:
if word in counts:
counts[word] += 1
else:
counts[word] = 1
```
Pythonic:
```python
from collections import defaultdict
counts = defaultdict(int)
for word in words:
counts[word] += 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.
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:
squares = []
for x in range(10):
squares.append(x**2)
Pythonic:
squares = [x**2 for x in range(10)]
2. Using enumerate()
Not Pythonic:
index = 0
for value in my_list:
print(index, value)
index += 1
Pythonic:
for index, value in enumerate(my_list):
print(index, value)
3. Using zip()
Not Pythonic:
names = ['Alice', 'Bob', 'Charlie']
ages = [24, 30, 22]
combined = []
for i in range(len(names)):
combined.append((names[i], ages[i]))
Pythonic:
combined = list(zip(names, ages))
4. Using with for File Operations
Not Pythonic:
file = open('data.txt', 'r')
data = file.read()
file.close()
Pythonic:
with open('data.txt', 'r') as file:
data = file.read()
5. Using Generators for Efficient Iteration
Not Pythonic:
def get_even_numbers(n):
even_numbers = []
for i in range(n):
if i % 2 == 0:
even_numbers.append(i)
return even_numbers
Pythonic:
def get_even_numbers(n):
return (i for i in range(n) if i % 2 == 0)
6. Using any() and all()
Not Pythonic:
if len(my_list) > 0:
has_values = True
else:
has_values = False
Pythonic:
has_values = bool(my_list)
7. Conditional Expressions (Ternary Operator)
Not Pythonic:
if condition:
result = 'Yes'
else:
result = 'No'
Pythonic:
result = 'Yes' if condition else 'No'
8. Leveraging Default Dictionary
Not Pythonic:
counts = {}
for word in words:
if word in counts:
counts[word] += 1
else:
counts[word] = 1
Pythonic:
from collections import defaultdict
counts = defaultdict(int)
for word in words:
counts[word] += 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.