http://asyncio.readthedocs.io/en/latest/webscraper.html
#Web#scraping means downloading multiple web pages, often from different #servers. Typically, there is a considerable waiting time between sending a request and receiving the answer. Using a client that always waits for the server to answer before sending the next request, can lead to spending most of time waiting. Here asyncio can help to send many requests without waiting for a response and collecting the answers later. The following examples show how a synchronous client spends most of the time waiting and how to use asyncio to write asynchronous client that can handle many requests concurrently.
https://www.tutorialspoint.com/python/python_networking.htm
Python provides two levels of access to network services. At a low level, you can access the basic #socket support in the underlying operating system, which allows you to implement #clients and #servers for both connection-oriented and connectionless protocols.
https://github.com/mehrdadrad/pubdns
pubdns is a library for python to have more than 28K public #dns#servers from 190+ countries at your #python script. it works based on the public-dns.info collected data and there is a wrapper based on the dnspython to resolve all type of dns records through these public dns server smoothly.
#imp
https://uwsgi-docs.readthedocs.io/en/latest/
The uWSGI project
The #uWSGI project aims at developing a full stack for building #hosting services.
Application #servers (for various programming languages and protocols), proxies, process managers and monitors are all implemented using a common #api and a common configuration style.
#python
https://httpie.org/
#HTTPie consists of a single http command designed for painless debugging and interaction with HTTP #servers, #RESTful#APIs, and web services:
Sensible defaults
Expressive and intuitive command syntax
Colorized and formatted terminal output
Built-in JSON support
Persistent sessions
Forms and file uploads
HTTPS, proxies, and authentication support
Support for arbitrary request data and headers
Wget-like downloads
Extensions
Linux, Mac OSX, and Windows support
And more…
GitHub Trends@githubtrending · Post #15116 · 03.09.2025 г., 12:00
#other#ai#anthropic_claude#awesome#context#mcp#model_context_protocol#servers#tool_use#tools
Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control.
https://github.com/appcypher/awesome-mcp-servers