measurekit 0.0.2.dev0

A Python package for handling measurement units and conversions

MeasureKit

A powerful Python library for physical computing, unit conversions, and symbolic analysis.

---

🚀 Description

MeasureKit is designed to make working with physical quantities in Python intuitive, robust, and error-free. Whether you are a scientist, engineer, or student, MeasureKit handles the complexity of unit conversions and dimensional analysis so you can focus on the physics.

📦 Installation

Install the package via pip:

pip install measurekit

To use it within a Jupyter Notebook/Lab environment:

pip install ipykernel
python -m ipykernel install --user --name measurekit

🛠 Usage

from measurekit import Q_

# 1. Easy Unit Conversions
# Use the Q_ factory to create quantities
feet = Q_(3.28, 'ft')
meters = feet.to('m')
print(f"3.28 feet = {meters:.4f}")

# 2. Quantity Arithmetic
distance = Q_(5, 'km')
time = Q_(2, 'h')

# Automatic unit handling in calculations
speed = distance / time
print(f"Speed: {speed}")  # Output: 2.5 km/h

# 3. Fluid Conversions
speed_in_mph = speed.to('mph')
print(f"Speed in mph: {speed_in_mph}")

✨ Features

• Robust Unit System: Support for SI, Imperial, and custom unit definitions.
• Dimensional Analysis: Prevents invalid operations (e.g., adding length to mass) at runtime.
• Symbolic Math: Built-in support for symbolic manipulation of physical equations.
• Extensible: Easily define your own units and constants via configuration files.
• Developer Friendly: Type hints, clean API, and comprehensive error messages.

⚙️ Configuration

MeasureKit allows you to customize its behavior, define new units, and add constants through a measurekit.conf file.

1. Create a measurekit.conf file in your project's root directory.
2. Define your custom settings following the INI format.

Example measurekit.conf:

[Settings]
default_system = SI

[Units]
# Format: name = factor_to_base, dimension, [symbol, alias...]
hand = 0.1016, L, [hand, hands]
bitcoin = 95000.0, $, [BTC, bitcoin]

[Constants]
# Format: name = value unit
my_gravity = 9.81 m/s^2

📋 Requirements

• Python 3.8 or higher
• sympy
• numpy (optional, for advanced features)
• scipy (optional, for simulations)

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

✍️ Author

Irvin Torres - [e-mail]