# Create A Program to Implement Rapid Engineering Solutions in Python Assignment Solution

June 25, 2024
Dr. Andrew
Python
Dr. Andrew Taylor, a renowned figure in the realm of Computer Science, earned his PhD from McGill University in Montreal, Canada. With 7 years of experience, he has tackled over 500 Python assignments, leveraging his extensive knowledge and skills to deliver outstanding results.
Key Topics
• Instructions
• Objective
• Requirements and Specifications
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## Instructions

### Objective

Write a python assignment program to implement rapid engineering solutions.

## Requirements and Specifications

Source Code

```import numpy as np import matplotlib.pyplot as plt if __name__ == '__main__': electron = np.loadtxt('electron_quantites.txt') ion = np.loadtxt('ion_quantites.txt') x = electron[:,0] # positions rho = ion[:,1] ki = electron[:,2] Te = electron[:,1] Ti = ion[:,2] ke = ion[:,3] n = ion[:,4] u = ion[:,5] p = ion[:,6] E = ion[:,7] # First, calculate du/dx dudx = np.divide(u[1:]-u[0:-1], x[1:]-x[0:-1]) # Calculate dTi/dx dTidx = np.divide(Ti[1:]-Ti[0:-1], x[1:]-x[0:-1]) # Calculate dTe/dx dTedx = np.divide(Te[1:] - Te[0:-1], x[1:] - x[0:-1]) # From equation (1b), calculate p0u0^2 + p0 eq1b = np.multiply(p[:-1],np.power(u[:-1],2)) + p[:-1] - (4/3)*np.multiply(n[:-1], dudx) # Equation (1c) eq1c = np.multiply(E[:-1], u[:-1]) - np.multiply(ki[:-1], dTidx) - np.multiply(ke[:-1],dTedx) + np.multiply(p[:-1],u[:-1]) - (4/3)*np.multiply(n[:-1], np.multiply(u[:-1], dudx)) plt.plot(eq1b) plt.plot(eq1c) plt.show() ```

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