Metadata-Version: 2.4
Name: TrekPhysics-Official
Version: 0.1.0
Summary: A scientific computing module for high-altitude biomechanics and thermodynamics.
Home-page: https://github.com/yourusername/TrekPhysics
Author: Your Name
Author-email: your.email@example.com
Keywords: physics,trekking,altitude,biomechanics,science
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: matplotlib
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license-file
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TrekPhysicsTrekPhysics is a scientific Python library designed to calculate the biomechanical, thermodynamic, and physiological impacts of high-altitude travel.It replaces generic fitness estimates with deterministic physics equations (Pandolf Equation, Barometric Formula, etc.).Installationpip install TrekPhysics-Official
(Note: Replace TrekPhysics-Official with whatever name you chose in setup.py)Quick Startfrom TrekPhysics import Hiker, Atmosphere

# 1. Calculate Calorie Burn
user = Hiker(body_mass_kg=75, pack_weight_kg=15)
calories = user.get_calorie_burn(velocity_ms=1.4, gradient_percent=10)
print(f"Burn Rate: {calories} kcal/hr")

# 2. Check Environment at 5000m
air = Atmosphere(altitude_meters=5000)
print(f"Water boils at: {air.boiling_point}°C")
FeaturesBiomechanics: Calculate metabolic cost based on gravity vectors.Thermodynamics: Adjust cooking times based on vapor pressure.Physiology: Estimate hypoxia risk and hydration needs.
