math-compute
CommunityVerify symbolic and numeric math results.
Data & Analytics#python#calculus#linear-algebra#sympy#symbolic-computation#ode#numerical-verification
Authorimvladikon
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automates symbolic and numerical mathematics with built-in verification to prevent hallucinated results.
Core Features & Use Cases
- Symbolic computations using SymPy for derivatives, integrals, limits, eigenvalues, determinants, and ODE solutions.
- Numerical verification with NumPy/SciPy to cross-check symbolic results and ensure correctness.
- Educational patterns and demonstrations for calculus, linear algebra, and differential equations, with optional Wolfram Alpha cross-checks.
Quick Start
Set up a Python virtual environment and install SymPy, NumPy, SciPy, and Matplotlib, then run the quick-start workflow to begin computations.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: math-compute Download link: https://github.com/imvladikon/dot-claude/archive/main.zip#math-compute Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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