ctruciosm/Do-Zero-ao-Julia
Mar 2026 – Mar 2026
1 Month active
Languages Used
Julia
Technical Skills
data sciencedata visualizationmachine learningprogramming in Juliastatistical analysis
Isabela Santos Marciano
PROFILE
Isabela Santos Marciano
Developed and launched an educational blog series in the ctruciosm/Do-Zero-ao-Julia repository, focusing on Julia’s capabilities for data visualization and analytics. The initial post demonstrated practical applications of Gadfly for visualizations, OnlineStats for incremental statistical analysis, and principal component analysis for dimensionality reduction, providing clear examples of Julia’s strengths in handling complex data science tasks. The content also highlighted cross-language collaboration between Python and Julia, supporting broader developer engagement. This work established a reusable workflow for future tutorials, emphasizing reproducibility and traceability by linking directly to the release commit. The project showcased expertise in Julia, data science, and statistical analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
69,834
Activity Months1
Your Network
32 peopleSame Organization
@dac.unicamp.br10
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered the Educational Blog Series "Julia for Data Visualization and Analytics" in ctruciosm/Do-Zero-ao-Julia. The first post showcases Julia's data science capabilities across data visualization (Gadfly), incremental statistics (OnlineStats), and PCA-based dimensionality reduction, highlighting Julia's suitability for complex data tasks and cross-language collaboration (Python x Julia). The work creates a reusable content asset for ongoing developer education and outreach. Commit reference included for traceability: 56740c220fba371b7e7048d1ad739d856924c9a9.
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered the Educational Blog Series "Julia for Data Visualization and Analytics" in ctruciosm/Do-Zero-ao-Julia. The first post showcases Julia's data science capabilities across data visualization (Gadfly), incremental statistics (OnlineStats), and PCA-based dimensionality reduction, highlighting Julia's suitability for complex data tasks and cross-language collaboration (Python x Julia). The work creates a reusable content asset for ongoing developer education and outreach. Commit reference included for traceability: 56740c220fba371b7e7048d1ad739d856924c9a9.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
Julia
Technical Skills
data sciencedata visualizationmachine learningprogramming in Juliastatistical analysis
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