# Import vpython library
from vpython import *
# Create a scene with a camera, a background and a light
scene = canvas(title='Rocket Launch', width=800, height=600)
scene.camera.pos = vector(0, 0, 20)
scene.background = color.black
scene.ambient = color.gray(0.5)
# Create a sphere to represent the earth
earth = sphere(pos=vector(0, 0, 0), radius=6.4, texture=textures.earth)
# Create a cylinder to represent the rocket
rocket = cylinder(pos=vector(0, -6.4, 0), axis=vector(0, 1, 0), radius=0.2, color=color.red)
# Create a cone to represent the rocket's nose
nose = cone(pos=rocket.pos + rocket.axis, axis=vector(0, 0.4, 0), radius=0.2, color=color.red)
# Create a trail to show the rocket's path
trail = curve(color=color.white)
# Create labels to display the velocity and altitude of the rocket
v_label = label(pos=vector(-10, 10, 0), text='Velocity: 0 m/s', color=color.white)
h_label = label(pos=vector(-10, 9, 0), text='Altitude: 0 m', color=color.white)
# Define some constants
g = 9.8 # gravitational acceleration
m = 100 # mass of the rocket
F = 2000 # thrust force of the rocket
dt = 0.01 # time step
# Define some variables
t = 0 # time
v = 0 # velocity
h = 0 # altitude
# Define a function to update the rocket's motion
def update():
global t, v, h
# Calculate the net force on the rocket
F_net = F - m * g
# Calculate the acceleration of the rocket
a = F_net / m
# Update the velocity and altitude of the rocket
v += a * dt
h += v * dt
# Update the position and axis of the rocket and its nose
rocket.pos.y += v * dt
rocket.axis.y += v * dt
nose.pos.y += v * dt
# Update the trail of the rocket
trail.append(pos=nose.pos)
# Update the labels of the velocity and altitude of the rocket
v_label.text = f'Velocity: {round(v, 2)} m/s'
h_label.text = f'Altitude: {round(h, 2)} m'
# Update the time
t += dt
# Define a function to stop the simulation when the rocket reaches its maximum height or falls back to earth
def stop():
global v
# Check if the velocity is zero or negative
if v <= 0:
# Stop the simulation and print a message
scene.pause()
print(f'The rocket reached its maximum height of {round(h, 2)} m at {round(t, 2)} s.')
# Check if the altitude is zero or negative
if h <= 0:
# Stop the simulation and print a message
scene.pause()
print(f'The rocket fell back to earth at {round(t, 2)} s.')
# Run the simulation until it stops
while True:
rate(100) # limit the frame rate to 100 fps
update() # update the rocket's motion
stop() # stop the simulation if needed
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import sys
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print("Hello "+ name)
Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.
When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression
#code
elif conditional-expression
#code
else:
#code
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while condition
#code
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
| Name | Description |
|---|---|
| NumPy | NumPy python library helps users to work on arrays with ease |
| SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
| SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
| Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
| DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |