silvainfm
- 4 skills
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- 1 week ago last updated
- ▌ Polars · silvainfm bundleLightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy evaluation pipelines, or needs better performance than pandas. Ideal for ETL, data wrangling, aggregations, joins, and reading/writing CSV, Parquet, JSON files.
- ▌ Tapestry · silvainfmUnified content extraction and action planning. Use when user says "tapestry <URL>", "weave <URL>", "help me plan <URL>", "extract and plan <URL>", "make this actionable <URL>", or similar phrases indicating they want to extract content and create an action plan. Automatically detects content type (YouTube video, article, PDF) and processes accordingly.
- ▌ Streamlit · silvainfm bundleFast Python framework for building interactive web apps, dashboards, and data visualizations without HTML/CSS/JavaScript. Use when user wants to create data apps, ML demos, dashboards, data exploration tools, or interactive visualizations. Transforms Python scripts into web apps in minutes with automatic UI updates.
- ▌ Monaco Payslip Calculator · silvainfm bundleCalculate Monaco payslips (bulletin de salaire) with social security contributions, taxes, and net salary. Use when user requests Monaco payslip calculations, salary breakdowns for Monaco employees, or needs to compute Monegasque employer/employee contributions.