Tag: Python
PyCon DE & PyData 2026 Thought the Eyes of a First Time Attendee
The 2026 edition of the German Python Conference, also known as PyCon DE & PyData 2026, took place in Darmstad near Frankfurt on 14-16 April 2026. This was my first time attending PyCon DE and I felt very welcome. In this post, I share a couple of highlights of my days at PyCon DE 2026.
1st Day
The conference started with a vibrant welcome by Alexander CS Hendorf. From the opening speech, I love the emphasis that Alexander gave to the spirit of community: “when things change fast, people who help each other have the advantage” and “we are a community that gets things done”.
More ...EuroPython 2018: A Jupyter Enhancement Proposals
On 25 July, I attended EuroPython, a fantastic conference related with Python, to talk about Jupyter and the enhancement proposal that I submited last year. The original plan was to present with my friend Tania Sanchez Monroy but she had to cancel in the last minute. [My slides are available]({% link pdfs/EuroPython2018.pdf %}) and my notes are below.
In early 2017, I was invited by Alexander Konovalov to attend Computational Mathematics with Jupyter at International Centre for Mathematical Sciences (ICMS) in Edinburgh. During the event, Alexander Konovalov, Michael Croucher, Tania Allard and I talked about how we write lessons with Jupyter so far. I contributed to Software Carpentry lessons back in 2014 when they still used Jupyter notebooks, IPython notebook at that time, for the Python lesson. Alexander Konovalov wrote GAP lessons for Software Carpentry and was interested to develop the lessons in Jupyter notebooks. Michael Croucher and Tania Allard were working at the University of Sheffield with some professors to build courses in Jupyter notebooks and were interested to have a better presentation for the lessons being develop. The cell strucuture of Jupyter notebook imposes a limitation that we could have executed code inside call out boxes but authors were OK with it. During that week, Tania worked on some prototypes to convert Jupyter notebooks Markdown files that Jekyll could use to build a beautiful website.
More ...