Marc-André Lemburg

The "extract, transform, load" (ETL) pattern has often required managing complex systems in the cloud. The talk will demonstrate how all this can be greatly simplified by applying modern tools for the task: Python and DuckDB, both readily available to run on most systems - even your notebook.

Pitch Ever wanted to know how the displays in your smart watch work and how you can create such devices yourself ? Using just your Python skills and a bit of USB cabling ?

Ever wanted to know how the displays in your smart watch work and how you can create such devices yourself ? Using just your Python skills and a bit of USB cabling ? MicroPython and LVGL make this easy and this talk will show you how.

Have you ever wanted to ship a script or application to a friend or client, without requiring a specific Python installation or providing complex installation instructions ?

The `match` statement was introduced in Python 3.10, but has not yet seen wide adoption. This talk will highlight practical use cases for parsing JSON, XML and ASTs, and compare expressiveness and performance to the classic if-elif-else approach.

EDAs target a real need in today's application landscape, as systems grow more complex or need to scale organically. The talk will introduce the architecture and provide insights into different components which can be managed, connected and implemented with Python.

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.

In the last few years, lots of new database engines have been developed, making the selection process even more challenging than it was before, if you want to maintain an edge.

Python has become very important for many of us - as the basis for making a living, as a way to enjoy programming, or to bring people together. I'd like to take you on a tour through my two decades of community work and hopefully inspire some of you to contribute to the community as well.

Python has come a long way since it was created in 1989. The talk will look into the current state, upcoming changes and explore possibilities for its future development, both at a language and application level.

Sub-title: Putting Python on a diet without losing functionality Running Python tools on Unix often requires several 100MB of packages. PyRun avoids this by providing a Python runtime + stdlib in a single 4.8MB file, which can be "installed" by simply copying the binary to the destination system.