How to create a python loop that allows other code to run as well

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I'm an amateur coder. I'm working on a small little game for a project in biology, but I have come across an issue in my code. I have a loop that adds +1 to the variable sunlight every two seconds. However, all code below the loop is non-functional now that I have made the loop. I'm guessing it's because it's waiting for the loop to finish. Any way to have the loop always run but allow the code to run through it's sequence at the same time?

print("Game started!")
sunlight = 0
while True:
  time.sleep(2)
  sunlight += 1
  commands = input("Type stats to see which molecules you have, type carbon to get carbon\ndioxide, and type water to get water: ")
  if commands == ("stats"):
    print("Sunlight: ",sunlight,"")

As you are beginner, i would not recommend to use multithreading or asyncio. Instead just start the time and when user enter "stats", elapsed time//2 will be equal to sunlight.

import time
start_time = time.time()
while True:
    commands = input("Type stats to see which molecules you have, type carbon to get carbon\ndioxide, and type water to get water: ")
    if commands == ("stats"):
        sunlight = (time.time()-start_time)//2   # elapsed time // 2
        print("Sunlight: ", sunlight, "")

Python Tutorial: For Loops, language statement, i.e. an iteration statement, which allows a code block to be repeated a certain number of times. It is usually characterized by the use of an implicit or explicit iterator. In each iteration step a loop variable is set to a value in a sequence or other data collection. It can be done backwards as well:. To make the loop select the next index, we simply need to increase the index variable by 1. By increasing the index variable by 1 at the end of each loop, the loop will grab the next index when it runs again. See the example code below for increasing the index variable at the end of the loop.


Your sunlight variable basically functions as a clock; it counts half of the number of seconds since the program begins. Rather than implement your own clock using time.sleep(), it's better to just use an existing clock from the time library.

The function time.monotonic returns a number of seconds, so you can use this to get the current sunlight by saving the start time, then each time you want to know the value of sunlight, take the difference between the current time and the start time, divided by 2.

start_time = time.monotonic()

def get_sunlight():
    current_time = time.monotonic()
    return int(current_time - start_time) // 2

It is better to use the monotonic() function than the clock() function for this purpose, since the clock() function is deprecated as of Python 3.3:

The time.clock() function is deprecated because it is not portable: it behaves differently depending on the operating system.

It's also better than the time() function for this purpose, because changes to the system clock (such as going forwards or back due to daylight savings time) will affect the result of time():

While this function normally returns non-decreasing values, it can return a lower value than a previous call if the system clock has been set back between the two calls.

4. Conditionals and loops — Beginning Python Programming for , Then change the value of food to something other than 'spam' and run it again, To help us learn to write well styled Python code, there is a program called Python actually allows a short hand form for this, so the following will also work: The loop variable is created when the for statement runs, so you do not need to� To loop through a set of code a specified number of times, we can use the range () function, The range () function returns a sequence of numbers, starting from 0 by default, and increments by 1 (by default), and ends at a specified number.


You should look into the multithreading library. That's probably a good resource. You can fire off a thread running your sunlight incrementer that updates a global variable (not a good idea but you seem to have just 1 writer, so you can get by till you have time to pick up more advanced parallel processing concepts).

Reference: https://www.geeksforgeeks.org/multithreading-python-set-1/

Loop control statements — Object-Oriented Programming in Python , In this chapter, you will learn how to make the computer execute a group of Python's other loop statement is the for statement. In Python, for loops make this use case simple and easy by allowing you to iterate over the loop as well as the list element itself, you can use the enumerate function to number the elements:. Introduction Loops in Python. A concept in Python programming package that allows repetition of certain steps, or printing or execution of the similar set of steps repetitively, based on the keyword that facilitates such functionality being used, and that steps specified under the keyword automatically indent accordingly is known as loops in python.


The Basics of Python For Loops: A Tutorial, This tutorial is for Python beginners, but if you've never written a line of code before, For example, a for loop would allow us to iterate through a list, performing the a list within the list of lists, and we can use for loops to iterate through these as well. or any other aspects of lists, check out our interactive course on Python� How to Create Loops in Python. In Python, and many other programming languages, you will need to loop commands several times, or until a condition is fulfilled. It is easy, and the loop itself only needs a few lines of code.


Python "for" Loops (Definite Iteration) – Real Python, In this introductory tutorial, you'll learn all about how to perform definite iteration with Python for loops. You'll see how other programming languages implement definite iteration, learn Indefinite iteration, in which the code block executes until some condition is met These capabilities are available with the for loop as well. In the context of most data science work, Python for loops are used to loop through an iterable object (like a list, tuple, set, etc.) and perform the same action for each entry. For example, a for loop would allow us to iterate through a list, performing the same action on each item in the list.


Loops in Python, A loop allows us to execute some set of statement multiple times. One way to achieve this is to create a Python script and call print() function 100 times as follows: This program also doesn't scale very well. However if you press n or any other character the loop terminates and the program control� Breaking down the URL parameters: pages is the variable we create to store our page-parameter function for our loop to iterate through; np.arrange(1,1001,50) is a function in the NumPy Python