Working with files is a common task in Python.
with open('file.txt', 'r') as f:
content = f.read()
with open('output.txt', 'w') as f:
f.write('Hello, World!')
import json
with open('data.json', 'r') as f:
data = json.load(f)
Working with files is a common task in Python.
with open('file.txt', 'r') as f:
content = f.read()
with open('output.txt', 'w') as f:
f.write('Hello, World!')
import json
with open('data.json', 'r') as f:
data = json.load(f)
Complete guide to Python decorators covering function decorators, class decorators, decorators with arguments, preserving metadata, and real-world use cases.
Deep dive into Python generators and iterators for memory-efficient data processing, including generator expressions, yield statements, and iterator protocol.
Learn Python decorators including function decorators, class decorators, decorators with arguments, preserving metadata, and practical use cases.