Does it support R-style statistical modeling?

Yes, it uses Statsmodels to provide an R-like formula interface for regression, ANOVA, and other statistical tests.

Can this skill help with physical unit conversions?

Yes, it leverages AstroPy's unit handling capabilities to perform automatic conversions and ensure unit-aware calculations in physical sciences.

What specialized libraries are supported by this skill?

The skill provides expert guidance for AstroPy (astronomy), BioPython (bioinformatics), SymPy (symbolic math), and Statsmodels (statistics).

Can it help with symbolic algebra instead of numerical approximations?

Absolutely. By using SymPy, the skill helps you work with exact symbols to solve equations, find derivatives, and simplify complex algebraic expressions.

Scientific Computing

Name: Scientific Computing
Author: eyadsibai

byeyadsibai

데이터 과학 및 ML

Empowers researchers and developers with specialized Python expertise for astronomy, bioinformatics, symbolic mathematics, and advanced statistical modeling.

소개

The Scientific Computing skill equips Claude with deep knowledge of domain-specific Python libraries, bridging the gap between general-purpose programming and specialized scientific research. By providing best practices for AstroPy, BioPython, SymPy, and Statsmodels, it enables users to perform unit-aware astronomical calculations, manipulate genomic sequences, solve exact symbolic equations, and execute complex statistical tests with R-like formula interfaces. This skill is ideal for scientists and engineers who need to ensure their code adheres to the specific conventions and rigorous standards of their respective technical fields.

주요 기능

Unit-aware calculation patterns to prevent dimensional errors in complex physical computations.
Bioinformatics support for DNA/RNA sequence manipulation and NCBI database integration via BioPython.
Comprehensive statistical modeling using Statsmodels, including regression and time series analysis.
0 GitHub stars
Symbolic mathematics support for algebraic simplification, calculus, and exact solutions with SymPy.
Expert guidance for AstroPy celestial coordinates, physical units, and FITS file handling.

사용 사례

Performing rigorous statistical hypothesis testing and building generalized linear models with R-style syntax.
Processing astronomical datasets and converting celestial coordinates for astrophysics research.
Automating bioinformatics workflows like sequence alignment, BLAST queries, and protein structure parsing.

소개

주요 기능

Unit-aware calculation patterns to prevent dimensional errors in complex physical computations.
Bioinformatics support for DNA/RNA sequence manipulation and NCBI database integration via BioPython.
Comprehensive statistical modeling using Statsmodels, including regression and time series analysis.
0 GitHub stars
Symbolic mathematics support for algebraic simplification, calculus, and exact solutions with SymPy.
Expert guidance for AstroPy celestial coordinates, physical units, and FITS file handling.

사용 사례

Performing rigorous statistical hypothesis testing and building generalized linear models with R-style syntax.
Processing astronomical datasets and converting celestial coordinates for astrophysics research.
Automating bioinformatics workflows like sequence alignment, BLAST queries, and protein structure parsing.