 import random 
speed = 150000  # per second. 
day_part = float(round(random.uniform(0,1), 2)) 
num_seconds = float(day_part * 86400) 
distance = speed * num_seconds 
print(f'day_part: {day_part}, num_seconds:{num_seconds}, distance:{distance}') 
# compute whether a planet has been passed 
# if distance/speed < num_seconds, then we have  passed this planet 
# e.g., if day_part = 0.01 then the ship has 
# travelled 129600000 which is PAST Earth but NOT PAST Mars 
# NOTE: when seconds > 18620, you've passed neptune 

past_mercury = (3604000 / speed) < num_seconds 
past_venus = (6724000 / speed) < num_seconds 
past_earth = (9296000 / speed) < num_seconds 
past_mars = (141600000 / speed) < num_seconds 
past_jupiter = (483800000 / speed) < num_seconds 
past_saturn = (890800000 / speed) < num_seconds 
past_uranus = (1784000000 / speed) < num_seconds 
past_neptune = (2793000000 / speed) < num_seconds 
out_of_bounds = (not past_mercury) or past_neptune 

# only ONE of these variables should result in a True value 
merc_venus = past_mercury and not past_venus and not out_of_bounds 
venus_earth = past_venus and not past_earth and not out_of_bounds 
earth_mars = past_earth and not past_mars and not out_of_bounds 
mars_jupiter = past_mars and not past_jupiter and not out_of_bounds  
jupiter_saturn = past_jupiter and not past_saturn and not out_of_bounds 
saturn_uranus = past_saturn and not past_uranus and not out_of_bounds 
uranus_neptune = past_uranus and not past_neptune and not out_of_bounds 

# we don't really need a += here we could just do a reassignment 
# on each line like s = <variable> * <statement> 
s = merc_venus * 'between Mercury and Venus' 
s += venus_earth * 'between Venus and Earth' 
s += earth_mars * 'between Earth and Mars' 
s += mars_jupiter * 'between Mars and Jupiter' 
s += jupiter_saturn * 'between Jupiter and Saturn' 
s += saturn_uranus * 'between Saturn and Uranus' 
s += uranus_neptune * 'between Uranus and Neptune' 
s += past_neptune * 'Past Neptune already!' 
s += (not past_mercury) * 'Not made it to Mercury yet'  

print(s)

created 3 months ago

Python Online Compiler

Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.

Taking inputs (stdin)

OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.

import sys
name = sys.stdin.readline()
print("Hello "+ name)

About Python

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.

Tutorial & Syntax help

Loops

1. If-Else:

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

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

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

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

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)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

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.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

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