Notes From Pycon Fr 2023 Convention

<p>On February 18th and 19th took place the Pycon Fr 2023 conferences. The pycon Fr is, as you might expect, a Python convention in France. It is organized by the&nbsp;<a href="https://www.afpy.org/" rel="noopener ugc nofollow" target="_blank"><em>Association Fran&ccedil;aise de Python</em></a>&nbsp;(French Python Association), and it actually started on the 16th, but the first two days weren&rsquo;t conferences, and I could not attend. The convention took place in Bordeaux, and since I live in Bergerac, a town not very far away, I had no excuse to not attend. And I don&rsquo;t regret it!</p> <p>There were conferences and workshops, but I only attended conferences. Most of them lasted 30 minutes, some an hour, and you had to choose between four each time. The choice was hard!</p> <p>This article is an extended summary of what I learned at the conferences; it&rsquo;s complete with personal explorations I did on some of the topics.&nbsp;<a href="https://github.com/enarroied/notes_from_pyconFr_2023" rel="noopener ugc nofollow" target="_blank">I created a GitHub repository</a>&nbsp;with some notebooks and some code I created after the conference. So, I hope these notes can benefit you and make you discover new useful Python-related open-sourcy free-like stuff!</p> <pre> Here&#39;s a summary of the twelve conferences I attended: 1. Using django-admin as a Framework 2. Fight Against Climate Change With a Django Application 3. Create Professional Python 4. Continuous Performance Analysis for Python 5. Writing Great Test Documentation 6. Modern and Functional Python To Build Robust Software 7. Supercharging Jupyter Notebooks for effective storytelling 8. We tested it for you&hellip; methodology and tools 9. Treating Geographical data with Rasterio, Numpy, Fiona and Shapely 10. Documentation, free software and digital arts 11. Geographic visualization using streamlit 12. Monitor your python applications (and not only your infrastructure)</pre> <p>When choosing which conferences to attend, this is how I ordered my criteria:</p> <p>1. Anything about Geospatial analysis: this is what got me into programming/data analysis in the first place, and I love the topic</p> <p>2. Conferences about good coding practices: I still feel junior, and I have learned a lot on my own. I think it is important for me to keep focused on writing good-quality code from experienced programmers</p> <p>3. Conferences about testing and documentation: I feel these subjects are sometimes disregarded (even at a professional level), and I have had inner questions about all this lately, so the convention has given me a great chance to grab some knowledge about it.</p> <p><a href="https://betterprogramming.pub/notes-from-pycon-fr-2023-convention-part-1-52b1e44214c8">Visit Now</a></p>
Tags: Analysis Pycon