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
In March 2026, [Developer Name] authored and launched the "Julia for Data Visualization and Analytics" educational blog series in the ctruciosm/Do-Zero-ao-Julia repository. The initial post explored Julia’s data science capabilities, demonstrating data visualization with Gadfly, incremental statistics using OnlineStats, and dimensionality reduction through PCA. By integrating Python and Julia, [Developer Name] highlighted cross-language workflows for complex analytics tasks. The work resulted in a reusable content asset and a structured delivery process for future tutorials, supporting ongoing developer education. The project showcased depth in data science, statistical analysis, and Julia programming, providing a foundation for scalable technical outreach.
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
30 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
Loading activity data...
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
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline