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https://www.tutorialspoint.com/python/python_database_access.htm Python - #MySQL#Database Access The Python standard for database interfaces is the Python DB-API. Most Python database interfaces adhere to this standard. You can choose the right database for your application. Python Database API supports a wide range of database servers such as

https://github.com/Monadical-SAS/django-channels-router django-channels-router A Python library for routing and handling #websocket messages using #django-channels. Routing socket messages in the view Routing socket messages using a handler #React

https://www.infoworld.com/article/3209651/python/how-to-convert-python-to-javascript-and-back-again.html How to convert #Python to #JavaScript (and back again) Love Python? JavaScript, not so much? Here are four tools that turn Python to JavaScript for use in web applications

http://www.bogotobogo.com/python/python_redis_with_python.php Redis with Python In order to use #Redis with Python, we will need a Python Redis #client. In following sections, we will demonstrate the use of redis-py, a Redis Python Client. redis-py requires a running Redis #server. See Redis Install for installation.

https://realpython.com/blog/python/caching-in-django-with-redis/ Caching in #Django With #Redis Application performance is vital to the success of your product. In an environment where users expect website response times of less than a second, the consequences of a slow application can be measured in dollars and cents. Even if you are not selling anything, fast page loads improve the experience of visiting your site. Everything that happens on the server between the moment it receives a request to the moment it returns a response increases the amount of time it takes to load a page. As a general rule of thumb, the more processing you can eliminate on the server, the faster your application will perform. Caching data after it has been processed and then serving it from the #cache the next time it is requested is one way to relieve stress on the server. In this tutorial, we will explore some of the factors that bog down your application, and we will demonstrate how to implement caching with Redis to counteract their effects.

The future of websites: Headless CMSs. #article#list#cms @thedevs https://kutt.it/cYgQlQ

https://www.fullstackpython.com/websockets.html A #WebSocket is a standard protocol for two-way data transfer between a #client and #server. The WebSockets protocol does not run over #HTTP, instead it is a separate implementation on top of #TCP. #AJAX

https://github.com/aio-libs/aiomysql #aiomysql is a "driver" for accessing a #MySQL database from the #asyncio (PEP-3156/tulip) framework. It depends on and reuses most parts of #PyMySQL . aiomysql tries to be like awesome #aiopg library and preserve same api, look and feel. Internally aiomysql is copy of PyMySQL, underlying io calls switched to async, basically yield from and asyncio.coroutine added in proper places)). sqlalchemy support ported from aiopg.

http://aiomysql.readthedocs.io/en/latest/sa.html aiomysql.sa — support for SQLAlchemy functional SQL layer sqlalchemy support ported from #aiopg, so #api should be very familiar for aiopg user. While core API provides a core support for access to #MySQL#database, manipulations with raw SQL strings too annoying. Fortunately we can use excellent SQLAlchemy Core as SQL query builder. So you can execute SQL #query built by tbl.insert().values(val='abc') or tbl.select() expressions. #sqlalchemy has rich and very powerful set of SQL construction functions, please read tutorial for full list of available operations. Also we provide SQL transactions support. Please take a look on SAConnection.begin() method and family.

Concurrency, MySQL and Node.js: A journey of discovery. #article#js#database#mysql @thedevs https://thedevs.link/gMigA8