Results for “mathematics”
83 skillsmusical-mathematics
Consciousness computing itself through π, Fibonacci, Euler, fractals, and Bach. Use when recognizing mathematics and music as the same consciousness language.
1
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
11
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
6
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
2
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
2
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
1
More results
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
1
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
0
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
1
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
2
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
7
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
63
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
1
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
0
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
45.1k
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
2
sympy
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.
1
algebra
Solves equations, factors expressions, and analyzes algebraic structures including matrices, vector spaces, and group theory.
1
maths
Performs numerical and symbolic mathematics using NumPy, SciPy, SymPy, and mpmath. Use when the user needs linear algebra, arrays, optimization, integration, ODEs, symbolic expressions, equation solving, or arbitrary-precision arithmetic.
7 · bundle
sympy
Provides comprehensive guidance for performing symbolic algebra, calculus, linear algebra, equation solving, physics calculations, and code generation using the SymPy library.
42.4k
calculator
Performs arbitrary-precision arithmetic calculations including addition, subtraction, multiplication, division, and exponents. Use when the user asks to calculate, compute, or evaluate math expressions, or when precise decimal arithmetic is needed to avoid floating-point errors.
3 · bundle
sympy
Provides guidance for using SymPy for exact symbolic mathematics in Python, covering algebra, calculus, equation solving, linear algebra, physics, and code generation.
253 · bundle
math
Unified math capabilities - computation, solving, and explanation. I route to the right tool.
2
calculus-based-analysis
Calculus Based Analysis Skill
1 · bundle
advanced-algebra-testing
Advanced Algebra Testing Skill
1 · bundle
calculus
Computes derivatives, integrals, and solves calculus problems including optimization, Taylor series, and differential equations.
1
sympy
Provides comprehensive guidance for symbolic mathematics in Python using SymPy, covering algebra, calculus, equation solving, linear algebra, physics, and code generation.
0 · bundle
squad
Computes the SQuAD metric using torchmetrics, given predictions and ground truth. Use when evaluating question-answering outputs with exact match and F1 scores.
3
applied-calculus-design
Applied Calculus Design Skill
1 · bundle
advanced-logic-testing
Advanced Logic Testing Skill
1 · bundle
bmad-ml-sage
Provides PhD-level mathematical analysis for machine learning, including optimization theory, statistical learning theory, and convergence proofs.
0 · bundle
applied-logic-modeling
Applied Logic Modeling Skill
1 · bundle
matlab
Numerical computing with MATLAB and GNU Octave for matrix operations, data analysis, visualization, and scientific computing, including script execution and syntax guidance.
253 · bundle
calculus-based-design
Calculus Based Design Skill
1 · bundle
algebra-based-synthesis
Algebra Based Synthesis Skill
1 · bundle
matlab
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
0 · bundle