|3 months ago||about 1 month ago|
|MIT License||Apache License 2.0|
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Best way to run parallel async http requests
3 projects | reddit.com/r/learnpython | 23 Aug 2021
I found examples of running parallel async http requests using grequests, but in its GitHub page it recommends using requests-threads or requests-futures instead. Which of them would be the most straightforward tool for optimizing a sequence of GET requests against an API. Case scenario: API endpoint provides paginated responses. With first response, I get the total of itens, which allow me to prepare all the remaining urls. The API allows for 25 simultaneous requests from a single user session (JWT token).
What are some good online FREE python interpreters that have their own processing power, RAM and Storage?
1 project | reddit.com/r/learnpython | 2 May 2021
I would suggest using a session in requests if you're not already but also to look at asyncio/aiohttp , requests-futures or requests-html which can be used asynchronously and is written by the author of the requests library.
What are some alternatives?
grequests - Requests + Gevent = <3
requests - A simple, yet elegant, HTTP library.
Uplink - A Declarative HTTP Client for Python
urllib3 - Python HTTP library with thread-safe connection pooling, file post support, user friendly, and more.
treq - Python requests like API built on top of Twisted's HTTP client.
jasmin - Jasmin - Open source SMS gateway
httplib2 - Small, fast HTTP client library for Python. Features persistent connections, cache, and Google App Engine support. Originally written by Joe Gregorio, now supported by community.
kiss-headers - 💡Python package for HTTP/1.1 style headers. Parse headers to objects. Most advanced available structure for http headers.