Pycurl
pycurl is a Python interface to the libcurl library, which is a widely used client-side URL transfer library supporting various protocols. With pycurl, you can perform HTTP, HTTPS, FTP, and other types of network requests in Python.
Here are some key features and functionalities of pycurl:
-
Protocol Support: It supports a variety of protocols, including HTTP, HTTPS, FTP, FTPS, SCP, SFTP, LDAP, and more.
-
Performance:
pycurlis known for its high-performance capabilities, making it suitable for handling large volumes of network requests efficiently. -
Features:
pycurlsupports many features like HTTP POST, GET, PUT, DELETE requests, handling cookies, custom headers, file uploads, and more. -
Asynchronous Support:
pycurlprovides support for asynchronous network requests using callbacks. -
Security: It allows you to enable or disable SSL/TLS certificate verification to control security measures.
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Multi-threading Support: You can use
pycurlwithin multi-threaded environments to perform concurrent network operations.
Here’s a simple example of how to use pycurl to make an HTTP GET request:
import pycurl
url = "https://www.example.com"
# Create a new curl object
curl = pycurl.Curl()
# Set the URL to fetch
curl.setopt(curl.URL, url)
# Set the SSL certificate verification options (optional)
curl.setopt(curl.SSL_VERIFYPEER, 1)
curl.setopt(curl.SSL_VERIFYHOST, 2)
# Buffer to store the response
response_buffer = bytearray()
# Set the WRITEFUNCTION to handle the response
curl.setopt(curl.WRITEFUNCTION, response_buffer.extend)
# Perform the request
curl.perform()
# Get the HTTP response code
http_response_code = curl.getinfo(curl.RESPONSE_CODE)
print(f"HTTP Response Code: {http_response_code}")
# Get the response body
response_body = response_buffer.decode("utf-8")
print(f"Response Body: {response_body}")
# Close the curl object
curl.close()
Make sure to have pycurl installed in your Python environment before running the above code. You can install it using pip:
pip install pycurl
Please note that pycurl is a lower-level library compared to higher-level alternatives like requests, so it might require a bit more boilerplate code. However, it can be a suitable choice when you need more control over network operations or when dealing with specific use cases not fully covered by higher-level libraries.
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