To make HTTP requests in Python, you can use the popular library called `requests`. This library simplifies the process of sending HTTP requests and handling responses, making it easy to work with web APIs and access web resources.
import requests
# Making a GET request
response = requests.get('https://api.example.com/data')
print(response.json())
# Making a POST request
data = {'key': 'value'}
response = requests.post('https://api.example.com/data', json=data)
print(response.json())
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?