@djangoproject · Post #585 · 03/23/2018, 02:43 AM
https://www.fullstackpython.com/celery.html #Celery is a task #queue implementation for Python web applications used to #asynchronously execute work outside the HTTP request-response cycle.
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Source channel @githubtrending · Post #15238 · Oct 20
#rust#dataflow#rust#static_analysis#vscode Flowistry is a tool for Rust programming that helps you focus on the parts of code relevant to your current task by analyzing how data flows within functions. When you select a variable or expression, it fades out unrelated code, making it easier to understand complex functions and see what affects or is affected by that code. It works as a VSCode plugin and uses Rust’s ownership system to provide precise analysis. This helps you read, debug, and modify Rust code more efficiently by reducing distractions and highlighting important dependencies. However, it has some limitations with certain Rust features like interior mutability and nested functions. https://github.com/willcrichton/flowistry
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@djangoproject · Post #585 · 03/23/2018, 02:43 AM
https://www.fullstackpython.com/celery.html #Celery is a task #queue implementation for Python web applications used to #asynchronously execute work outside the HTTP request-response cycle.
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@djangoproject · Post #262 · 02/16/2017, 07:24 AM
http://masnun.com/2015/11/20/python-asyncio-future-task-and-the-event-loop.html On any platform, when we want to do something #asynchronously, it usually involves an #event loop. An event loop is a loop that can register #tasks to be executed, execute them, delay or even cancel them and handle different events related to these operations. Generally, we #schedule multiple async functions to the event loop. The loop runs one function, while that function waits for #IO, it pauses it and runs another. When the first function completes IO, it is resumed. Thus two or more functions can #co_operatively run together. This the main goal of an event loop.