Tornado is a Python web framework and asynchronous networking library designed to handle large numbers of simultaneous connections efficiently. It is particularly well-suited for real-time web services, offering features such as non-blocking HTTP client and server, WebSockets support, and built-in authentication mechanisms. Tornado's architecture makes it ideal for applications that require long-lived network connections, like chat applications or real-time data streaming services.
Tornado
Tornado is a Python web framework and asynchronous networking library designed to handle large numbers of simultaneous connections efficiently. It is particularly well-suited for real-time web services, offering features such as non-blocking HTTP client and server, WebSockets support, and built-in authentication mechanisms. Tornado's architecture makes it ideal for applications that require long-lived network connections, like chat applications or real-time data streaming services.
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About Tornado
Tornado was created in 2009 by engineers at FriendFeed, a social media aggregator, to handle high traffic with minimal latency. It was designed to support long-lived network connections necessary for real-time updates. After Facebook acquired FriendFeed, Tornado was open-sourced, allowing developers to leverage its asynchronous networking capabilities for building scalable web applications.
Tornado's strengths include its high performance in handling numerous simultaneous connections, support for real-time web features like WebSockets, and its non-blocking I/O architecture. Weaknesses involve a steeper learning curve compared to more straightforward frameworks and less extensive third-party library support. Competitors of Tornado include Node.js, which offers similar asynchronous capabilities, and other Python frameworks such as Flask and Django that provide different approaches to web development.
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How to hire a Tornado expert
A Tornado expert must have strong proficiency in Python, particularly with asynchronous programming and non-blocking I/O operations. They should understand Tornado's event-driven architecture and be skilled in handling WebSockets for real-time communication. Familiarity with HTTP protocols, RESTful API design, and experience in deploying scalable web applications are also essential. Additionally, knowledge of integrating Tornado with other Python libraries and tools for database interaction and caching is important.
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