PyCon Lithuania 2024

Franz Haas

Career.:
- 2013-present application engineering and validation/verification engineering at ams-osram
- 2011 – 2013 home automation at intrate(c)
- 2010 – 2011 RMA engineer at infineon
- 2009 graduation at the university of applied sciences FH JOANEUM
- 2007 – 2010 mixed signal ASIC development at FH JOANEUM
- 2008 participation at the CERN Summer Student programe
- 2001 – 2005 industrial automation at intrate(c)


Notable open source projects that you contribute to. Add URLs, one per line.

My contributions so far are very small, often one-time contributions where i provide a small improvement.

https://github.com/altair-viz
https://github.com/pdm-project/pdm
https://github.com/robotframework
https://github.com/numba/llvmlite
https://github.com/sixty-north/cosmic-ray
https://github.com/rubik/radon
https://github.com/indygreg/PyOxidizer

Currently my potentially biggest but not yet merged contribution.:
https://github.com/construct/construct/pull/1063

which potentially improves parsing speed significantly


Session

04-04
11:00
25min
analyzing stdf production test data in the silicon manufacturing industry using construct
Franz Haas

The data amount and the complexity of the queries are not particularly large in this industry. The challenge comes from using the STDF format, a binary file format with roots in the 1980's.

A method to make this data source available to modern data analysis tools (jupyter/streamlit) using the construct library will be discussed. The focus is on how the data can be collected, converted and made available in a fast and efficient way, using both pypy and cpython.

Python
Room 228