Marc-André Lemburg

Learn how easy it is to get started with asynchronous programming in Python.

The talk will provide a quick introduction to the basic concepts of async programming and demonstrate the techniques based on a Telegram antispam bot using the async library Pyrogram.

The talk will provide a quick introduction to the basic concepts of async programming and demonstrate the techniques based on a Telegram antispam bot using the async library Pyrogram.

The async event loop will be covered, co-routines, the concept of awaiting input and how to think "async".

The code for the project is available as a real working product at https://github.com/eGenix/egenix-telegram-antispam-bot

Learn how easy it is to get started with asynchronous programming in Python. The talk will provide a quick introduction to the basic concepts of async programming and demonstrate the techniques based on a Telegram antispam bot using the async library Pyrogram.

The talk will provide a quick introduction to the basic concepts of async programming and demonstrate the techniques based on a Telegram antispam bot using the async library Pyrogram. The async event loop will be covered, co-routines, the concept of awaiting input and how to think "async". The code for the project is available as a real working product at https://github.com/eGenix/egenix-telegram-antispam-bot Slides of the talk are available at: https://downloads.egenix.com/python/PyCon-UK-2022-Talk-Intro-to-Async.pdf

Computer Aided Scheduling using Linear Programming with PuLP

Python applications sometimes need all the performance they can get. Think of e.g. web, REST or RPC servers. There are several ways to address this: scale up by using more processes, use Cython, use PyPy, rewrite parts in C, etc.

However, there are also quite a few things that can be done directly in Python. This talk goes through a number of examples and show cases how sticking to a few idioms can easily enhance the performance of your existing application without having to revert to more complex optimization strategies.

The PSF was founded in 2001 with a closed membership model in mind. The original idea being that all contributors to Python would become members and to have the PSF provide a platform to defend Python's copyright. Since then, the PSF has changed its focus from a purely legal entity to one that supports the international Python community by providing guidance, and financial and organizational help. At the last PSF Membership Meeting the members decided it was time to acknowledge this change in focus and to open up PSF membership to the whole Python community. This talk will explain the reasons, the new model, and the road map to get it implemented.