## Essential Python Snippets
Python's simple syntax and powerful standard library allow developers to accomplish complex tasks with minimal code. Here are ten essential code snippets that solve common programming problems.
### 1. Read a File Safely Using contextlib
Using `with open` ensures that file descriptors are freed correctly, preventing resource leaks.
```python
with open('data.txt', 'r', encoding='utf-8') as f:
content = f.read()
```
### 2. Deep Flatten a Nested List
Transform arbitrary nested lists using a simple recursive generator.
```python
def flatten(lst):
for item in lst:
if isinstance(item, list):
yield from flatten(item)
else:
yield item
```
### 3. Measure Execution Time
A neat custom decorator to profile performance of any utility block.
```python
import time
def timer(func):
def wrapper(*args, **kwargs):
start = time.perf_counter()
result = func(*args, **kwargs)
print(f'{func.__name__} took {time.perf_counter() - start:.6f}s')
return result
return wrapper
```
10 Essential Python Snippets for Everyday Programming Tasks
"A collection of clean, efficient Python utility scripts for file manipulation, sorting, data formatting, and quick computations."
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