Jeroen Vander Donckt
Network Security Engineer at Dimension Data
Ghent, East Flanders, Belgium
Summary
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RockstarJeroen Vander Donckt is a Network Security Engineer and research-minded developer based in Ghent with a decade of experience securing and building networked systems. At Dimension Data he pairs security expertise with hands-on engineering, while his open-source work shows a strong bent for backend and data-visualization tooling. He has contributed substantive fixes and refactors to the popular plotly.py library and helped enhance plotly-resampler for large time-series visualization, including timezone handling and hover/text support. Comfortable across full-stack concerns when needed, he focuses on robust, backward-compatible solutions and performance-minded code simplification. Colleagues would describe him as a pragmatic problem-solver who blends research instincts with production-grade engineering.
10 years of coding experience
Github Skills (13)
data-visualizations10
graph10
data-visualization10
data-visualisation10
time-series10
python10
plotly10
declarative10
data-science9
data-analysis9
jupyter-notebook9
refactoring8
d3js8
Programming languages (6)
Github contributions (5)
predict-idlab/plotly-resampler
Sep 2021 - Jan 2023
Visualize large time series data with plotly.py
Role in this project:
Full-stack Developer (with a focus on Data Visualization)
Full-stack Developer (with a focus on Data Visualization)Contributions:1 release, 168 reviews, 239 commits in 1 year 4 months
Contributions summary:Jeroen primarily contributed to the development of the `plotly-resampler` library, focusing on improvements to its core functionality. They added features, such as default values and checks for monotonically increasing indices, and fixed bugs related to subplot handling and the removal of specific functions. The user refactored the import statements and added capabilities to handle multiple time zones, enhancing the library's usability and robustness. The user also added support for text and hovertext in the traces.
data-analysispythondata-sciencevisualizeseries-data
plotly/plotly.py
Jun 2022 - Jun 2022
The interactive graphing library for Python :sparkles:
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 reviews, 3 commits, 4 PRs in 1 day
Contributions summary:Jeroen primarily focused on improving the functionality of the `plotly.py` library. Their commits addressed core logic within the `plotly.express` module, including refactoring and optimizing code related to group handling and ordering. They also fixed bugs and made the code more compatible, particularly concerning backward compatibility for existing functions. Additionally, the user streamlined code by avoiding unnecessary operations and removed deepcopy operations.
pythonjupyter-notebookchartingplotlyjsexpress
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