At this month's London Python Group, we'll be looking at a asyncio alternative to Flask, and the geospatial extension for Pandas. Don't miss it!
Quart; a asyncio alternative to Flask
Flask is a great web mirco-framework, that is best utilised with event-loop concurrency. Sadly with Flask the event-loop framework can't be asyncio, although some extensions (Flask-Aiohttp) have tried. Quart is the solution as it shares the Flask API and is based on asyncio. In addition Quart goes beyond Flask adding HTTP/2 and websockets.
This talk will outline why event-loop concurrency is a good choice for web servers, why asyncio is a good choice and then give an overview of Quart, demonstrating features that go beyond the Flask framework.
Experienced Software Engineer with a demonstrated history of leading high output teams. Skilled in Python, and C++, with multiple open source projects and contributions. Strong engineering professional with a Doctor of Philosophy (DPhil) focused in Particle Physics from the University of Oxford.
GeoPandas, the geospatial extension for Pandas
The talk explores the power of spatial data, with an application based on John Snow's 1854 Cholera map. The famous map has many myths surrounding it, and I ask what John Snow could have done differently with modern GIS technology.
Gareth is CTO at Housekeep, London's biggest and best home cleaning platform. Before that he was one of the earliest employees at Conversocial. He has used Django on everything he's built ever since he found it and fell in love 7 years ago.