04-22, 16:10–16:40 (Europe/Berlin), B09
Rosenxt has only just been founded, and yet we are already very busy researching great things and making them usable. The ideas are bubbling, the motivation is high. The urge to try out the next idea quickly is high. But progress needs to be well documented, as the next performance audit is sure to come.
Rosenxt has been founded to offer experience and excellence gathered in the last decades for the most challenging environments in the future, such as subsea, industrial, renewables, or the integrity of water and energy supply.
Highly motivated, we can hardly wait to try out the next idea to make rapid progress. But we are also aware of the rules of business. At the end there is always the performance audit. This is where you have to prove that you can really deliver what you have promised. And to do this, you better have everything well documented.
At our venture we have chosen a jupyter-book based workflow. Here come the Jupyter Notebook based steps for data analysis we're using anyways along with some simple markdown based documents embracing everything. Using a clever file system structure and a few tools, we create appealing documents that document the development progress very well.
In this talk, I would like to present this workflow in more detail using the tests with a specific water pressure sensor that we are currently evaluating.
Intermediate
Expected audience expertise: Python –Intermediate
Abstract as a tweet (X) or toot (Mastodon) –Rosenxt has just been founded, yet we're already very busy to create the next best thing. Let me show you how we create our R&D progress using the jupyter-book ecosystem to be safe for the next performance audit.
A physicist who has filled a variety of roles in a leading service company in the oil and gas industry, currently tackling the development of embedded devices at Rosenxt based on the Raspberry Pi, LinuX and Python with a Python history going back to version 1.4.