Jonathan Cantor
Drywall Installer at Rocky Mountain Drywall Inc.
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolJonathan Cantor is an experienced drywall installer based in Denver with 11 years in residential and commercial finish work, currently at Rocky Mountain Drywall Inc. He combines hands-on installation skill with an eye for clear processes and consistent results, having worked across multiple crews including A Pro Finish Drywall. Jonathan is expanding his formal knowledge through studies at CU Denver’s College of Architecture and Planning, bringing practical field insight to design-aware construction. Unusually for a trades professional, he has contributed technical writing to the widely used Matplotlib open-source project, improving tutorials and documentation clarity—evidence of strong communication skills and attention to detail. Reliable, process-minded, and comfortable translating complex instructions into repeatable workmanship, he thrives on projects that blend craftsmanship with thoughtful planning.
11 years of coding experience
CU Denver College of Architecture and Planning
English, Spanish
Stackoverflow
1reputation
23reached
0answers
1question
Github Skills (11)
restructuredtext10
documentation10
jupyter-notebook6
ffmpeg6
animation6
python6
matplotlib6
data-visualization4
data-visualisation4
data-visualizations4
plot4
Programming languages (13)
Github contributions (5)
matplotlib/matplotlib
Mar 2020 - Mar 2020
matplotlib: plotting with Python
Role in this project:
Technical Writer
Technical WriterContributions:8 commits, 2 PRs, 7 comments in 12 days
Contributions summary:Jonathan primarily contributed to improving the documentation for the Matplotlib project. Their work focused on enhancing the clarity of tutorials, specifically the customizing documentation, making examples consistent, and improving the overall readability of the documentation. The user also updated the contributing guidelines and links for documentation, suggesting a focus on streamlining the contribution process. These changes indicate a strong emphasis on improving the project's documentation for both users and contributors.
matplotlibpythondata-visualizationdata-scienceqt
pibion/talks
Jan 2015 - Jul 2019
Contributions:45 pushes in 4 years 6 months
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