Objectives:
- Create a Python program to calculate aircraft performance metrics based on user input.
- Incorporate formulas for range, endurance, fuel consumption, and climb performance.
- Allow users to specify aircraft characteristics such as weight, wing area, and engine thrust.
- Provide graphical outputs and analysis of performance trade-offs.
Objectives:
- Develop a minimalist CLI tool to solve International Standard Atmosphere (ISA) equations with high numerical accuracy.
- Implement a stepwise recursive algorithm to handle varying lapse rates across multiple atmospheric layers up to 85,000 meters.
- Calculate critical aeronautical parameters including ambient pressure, temperature, air density, and speed of sound.
- Adhere to "suckless" programming principles by optimizing for execution speed and zero external library dependencies.
Objectives:
- Develop a high-performance simulation engine to calculate 2D ballistic motion for point-mass projectiles.
- Implement vectorized kinematic solvers using NumPy to ensure maximum execution speed and numerical efficiency.
- Model trajectory profiles by accounting for initial state vectors, gravity, and constant horizontal acceleration.
- Provide multi-dimensional analysis through automated plotting of velocity, range, and altitude trade-offs.
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Integrate dynamic environmental logic to detect and handle ground-level impact (
$y = 0$ ) within the data arrays. - Adhere to minimalist design principles by maintaining a clean CLI and optimizing for performance-to-speed balance.
GPL-3.0-or-later