data-science-python-practice DavFilsDev · COMPLETED
Practice exercises and examples in Python to build strong foundations in data science: NumPy, Pandas, Matplotlib, machine learning, and more.
github.com/DavFilsDev/data-science-python-practice · ★ 0 · Forks 0 · Size 41 KB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 23 files · 43 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
21 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 81
10 files · PRODUCTION
pandas LIBRARY Depth 74
7 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-07-09
Last commit 2025-07-18
Active months 1
Commits 43