numpy-ufuncs
CommunityVectorize math operations on arrays.
Authorcuba6112
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables high-speed, element-wise mathematical operations on entire arrays, significantly boosting performance and reducing memory usage compared to traditional loops.
Core Features & Use Cases
- Vectorized Operations: Apply mathematical functions to all elements of NumPy arrays simultaneously.
- Memory Efficiency: Utilize in-place operations to modify arrays directly, avoiding unnecessary memory allocation.
- Custom Functions: Wrap custom Python functions to work seamlessly with NumPy's broadcasting capabilities.
- Use Case: Quickly square every number in a large dataset or apply a complex mathematical formula to an array of sensor readings without writing explicit loops.
Quick Start
Use the numpy-ufuncs skill to perform an in-place multiplication of array 'a' by scalar '2'.
Dependency Matrix
Required Modules
numpy
Components
scriptsreferences
💻 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: numpy-ufuncs Download link: https://github.com/cuba6112/skillfactory/archive/main.zip#numpy-ufuncs Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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