×
Reviews 4.9/5 Order Now

Create A Program to Implement Polynomial Solution in Python Assignment Solution

June 29, 2024
Sophie Bennett
Sophie Bennett
🇬🇧 United Kingdom
Python
Sophie Bennett is a seasoned Python Assignment Expert with a wealth of 14 years of experience. She holds a Master's degree from a leading institution, bringing a comprehensive skill set to every Python challenge.
Key Topics
  • Instructions
  • Requirements and Specifications
Tip of the day
Break your Python assignment into smaller tasks and test each part separately. Use meaningful variable names, write comments for clarity, and leverage built-in functions to simplify your code.
News
In 2025, JetBrains Fleet 2.0 introduced AI-powered code completion, while VS Code added advanced AI-driven bug detection and coding assistants, enhancing programming efficiency.

Instructions

Objective
Write a program to implement polynomial solution in python language.

Requirements and Specifications

program to implement polynomial solution in python

Source Code

POLYNOMIAL

from scipy import integrate

import numpy as np

import matplotlib.pyplot as plt

# Create a function that computes the value of ax^2 + bx + c

def f(x, a, b, c):

return a*x**2 + b*x + c

if __name__ == '__main__':

# First, define the range of r

r = np.arange(0, 5, 0.01)

# Define constants a, b, and c

a = 2

b = 3

c = 4

# Now, compute the first curve

curve1 = list()

for ri in r:

curve1.append(integrate.quad(f, 0, ri, args=(a,b,c))[0])

# Now, change the values for the second curve

a, b, c = 2, 1, 1

# Compute econd curve

curve2 = list()

for ri in r:

curve2.append(integrate.quad(f, 0, ri, args=(a,b,c))[0])

# Finally, plot both curves

plt.figure()

plt.plot(r, curve1, label = 'Curve 1')

plt.plot(r, curve2, label = 'Curve 2')

plt.grid(True)

plt.legend()

plt.xlabel('r')

plt.ylabel('ax^2+bx+c')

plt.show()

Related Samples

Explore our Python Assignments sample section, where you'll find meticulously crafted solutions to diverse programming tasks. From foundational exercises to intricate algorithms, each sample offers clear, annotated code for learning and reference. Perfect for students and professionals looking to sharpen their Python skills and excel in programming assignments. Dive into Python proficiency with our curated samples today!