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scientific-computing

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Python libraries for science and math.

Education & Research#python#bioinformatics#scientific computing#statistics#astronomy#symbolic math
Authoreyadsibai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides access to powerful Python libraries that streamline complex scientific and mathematical computations, reducing the need for manual calculations and specialized software.

Core Features & Use Cases

  • Astronomy: Perform celestial coordinate calculations and handle astronomical data formats with AstroPy.
  • Bioinformatics: Analyze biological sequences and interact with bioinformatics databases using BioPython.
  • Symbolic Math: Solve equations, perform calculus, and manipulate mathematical expressions symbolically with SymPy.
  • Statistics: Build statistical models and conduct hypothesis testing with Statsmodels.
  • Use Case: When analyzing astronomical data, you can use AstroPy to convert between different coordinate systems and handle FITS files.

Quick Start

Use the scientific-computing skill to perform symbolic integration of the function x^2 with respect to x.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: scientific-computing
Download link: https://github.com/eyadsibai/ltk/archive/main.zip#scientific-computing

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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