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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.

DigitalOcean accepts criticism and switches its #Hacktoberfest to be opt-in: https://github.com/digitalocean/hacktoberfest/pull/596

http://cherrypy.org/ #CherryPy A Minimalist #Python#Web#Framework.

https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django #Django is an extremely popular and fully featured server-side #web#framework, written in #Python. The module shows you why Django is one of the most popular web server frameworks, how to set up a development environment, and how to get started with using it to create your own web #applications. Prerequisites Before starting this module you don't need to have any knowledge of Django. You will need to understand what server-side web programming and web frameworks are, ideally by reading the topics in our Server-side website programming first steps module. A general knowledge of programming concepts and Python is recommended, but not essential to understanding the core concepts.

https://github.com/realpython/discover-flask/blob/master/readme.md #Flask is a micro web #framework powered by Python. Its #API is fairly small, making it easy to learn and simple to use. But don't let this fool you, as it's powerful enough to support enterprise-level applications handling large amounts of traffic. You can start small with an app contained entirely in one file, then slowly scale up to multiple files and folders in a well-structured manner as your site becomes more and more complex.

#Django REST #framework is a powerful and flexible toolkit for building #Web APIs. Some reasons you might want to use REST framework: The Web browsable #API is a huge usability win for your developers. Authentication policies including packages for OAuth1a and OAuth2. Serialization that supports both ORM and non-ORM data sources. Customizable all the way down - just use regular function-based views if you don't need the more powerful features. Extensive documentation, and great community support. Used and trusted by internationally recognised companies including Mozilla, Red Hat, Heroku, and Eventbrite. http://www.django-rest-framework.org/

http://robotframework.org/ #Robot#Framework is a generic test #automation framework for acceptance testing and acceptance test-driven development (ATDD). It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.

https://wiki.python.org/moin/Pyjamas?action=show&redirect=PyJamas #Pyjamas is a toolkit and applications #framework, for the Web. (see #PyjamasDesktop for the desktop version). Pyjamas comprises a widget set, a library containing "AJAX tricks", and a python-to-javascript compiler. Although it can be helpful, no knowledge of CSS stylesheets, HTML, Javascript or AJAX is required to develop comprehensive applications very quickly.

https://alysivji.github.io/mongodb-pipelines-in-scrapy.html #Scraping Websites into #MongoDB using Scrapy #Pipelines Summary Discuss advantages of using Scrapy framework Create #Reddit spider and scrape top posts from list of subreddits Implement Scrapy pipeline to send scraped data into MongoDB Sure, we could hack together a solution using #Requests and #Beautiful_Soup (bs4), but if we ever wanted to add features like following next page links or creating data validation pipelines, we would have to do a lot more work.

Version 3.10 of the legendary programming language is now here: https://www.python.org/downloads/release/python-3100 No rush to update, though. #Python

#Python is the main language of data science, per this analysis on 10M Jupyter Notebooks: https://blog.jetbrains.com/datalore/2020/12/17/we-downloaded-10-000-000-jupyter-notebooks-from-github-this-is-what-we-learned/