Professeur Agrégé De Sciences Physiques Physique Appliquée At IUT Poitiers at Université de Poitiers
Poitiers, Nouvelle-Aquitaine, France
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Summary
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Senior
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Top School
Sébastien Celles is a seasoned French higher-education professor (Professeur agrégé) with 12+ years teaching applied physics, electronics, electrical engineering, control theory and industrial computer science at IUT Poitiers. He blends classroom instruction in microcontroller programming, industrial data processing and BIM/CAD with hands-on open-source engineering, contributing tests and fixes to notable projects like pandas and visualization tooling such as python-windrose. His background spans secondary and tertiary education, from CPGE math/physics to an agrégation in applied physics, giving him deep theory-to-practice expertise. Beyond teaching, he helps improve software quality as a QA/test automation contributor and has modernized Julia project documentation pipelines, reflecting an interest in reproducible tooling and developer infrastructure.
12 years of coding experience
Agregation, Applied physics, Agregation, Applied physics at Université Paul Sabatier Toulouse III
License (L3), Applied physics, License (L3), Applied physics at Université de Limoges
Classe préparatoire aux grandes écoles (CPGE), Mathématiques Spéciales PSI, Classe préparatoire aux grandes écoles (CPGE), Mathématiques Spéciales PSI at Lycée Michel-Montaigne - Bordeaux
Classe préparatoire aux grandes écoles (CPGE), Mathématiques Supérieures PCSI, Classe préparatoire aux grandes écoles (CPGE), Mathématiques Supérieures PCSI at Lycée Bertran de Born - Périgueux
Contributions:39 commits, 25 PRs, 10 pushes in 3 years
Contributions summary:Sébastien primarily contributed to the documentation and infrastructure of the `datastructures.jl` project. Their work included migrating documentation from Sphinx to Documenter.jl, adding Julia syntax highlighting, and setting up automated deployment using Travis CI. Additionally, they made minor code changes, including "WIP" commits, and modified code related to sorted dictionaries and priority queue.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Data Scientist
Contributions:7 commits, 18 PRs, 87 comments in 1 year 7 months
Contributions summary:Sébastien contributed to the `pandas` library by addressing a bug related to the `Series.hist` function, and improving the functionality of the `to_excel` method by adding it for Series. The commits reveal changes related to reading and writing data in the library, improving the robustness of the library's methods. The user enhanced the library by implementing the `is_unique` attribute for the `Series` class.
pythondatalabeled-datamanipulationdataframes
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