GitHub
spatialdata
SpatialData framework for handling spatial multi-modal and multi-scale data. Use this skill for questions about spatial omics data analysis, visualization, and the SpatialData Python ecosystem.
Résultats pour « Python »
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Catégories: tools data analysis
Explorer
GitHub
log-analytics
Generate and execute Python code to analyze large log datasets, detect patterns, and extract actionable insights
GitHub
senior-data-scientist
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, t...
GitHub
tech-ecosystem-analyzer
This skill should be used when users request comprehensive analysis of technology ecosystems, comparing multiple libraries/frameworks/tools with quantitative metrics from GitHub and web research. Trigger words...
GitHub
pptx
Generates PowerPoint presentations from templates with consistent styling across tables, charts, and Mermaid diagrams. Use when creating PPTX files, working with template-based presentations, or applying unifie...
GitHub
data-analysis
Data analysis workflows and patterns for processing, analyzing, and visualizing data using Python data science libraries.
GitHub
ai-data-analyst
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
GitHub
python-data-science
Data analysis, scientific computing, visualization with pandas, numpy, matplotlib
GitHub
analyze
Unified analysis skill - Python data analysis (--data) or KB gap identification (--kb)
GitHub
data-analysis
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
Catégories populaires
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.