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Source channel @githubtrending · Post #15103 · Aug 30

#python#blueteam#discovery#emails#information_gathering#osint#python#recon#reconnaissance#redteam#subdomain_enumeration theHarvester is a free, easy-to-use tool that helps you gather public information about a domain, such as emails, subdomains, IPs, and URLs, from many online sources like search engines and databases. It is useful during security testing to understand a company’s external exposure and find potential vulnerabilities. You can run it with Python and it supports features like DNS brute forcing and taking screenshots of found subdomains. Using theHarvester helps you quickly collect valuable data for cybersecurity assessments, making your research more efficient and thorough. https://github.com/laramies/theHarvester

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djangoproject

@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.

djangoproject

@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.