Python Wait Time & User Input Handling – Essential Guide

Sometimes we want our python program to wait for a specific time before executing the next steps. We can use time module sleep() function to pause our program for specified seconds.

Python Wait Time

Let’s see a quick example where we will pause our program for 5 seconds before executing further statements.

import time

print('Hello There, next message will be printed after 5 seconds.')

time.sleep(5)

print('Sleep time is over.')

When we run this program, there will be 5 seconds delay between first print statement and second print statement.

User Input Handling

Sometimes we want to get some User Input through the console. We can use input() function to achieve this. In this case, the program will wait indefinitely for the user input. Once the user provides the input data and presses the enter key, the program will start executing the next statements.

sec = input('Let us wait for user input. Let me know how many seconds to sleep now.\n')

print('Going to sleep for', sec, 'seconds.')

time.sleep(int(sec))

print('Enough of sleeping, I Quit!')

 

Python Wait Time & User Input Handling – Essential Guide

Source: digitalocean.com

Create a Free Account

Register now and get access to our Cloud Services.

Posts you might be interested in:

Moderne Hosting Services mit Cloud Server, Managed Server und skalierbarem Cloud Hosting für professionelle IT-Infrastrukturen

How to Manage User Groups in Linux Step-by-Step

Linux Basics, Tutorial

Linux file permissions with this comprehensive guide. Understand how to utilize chmod and chown commands to assign appropriate access rights, and gain insights into special permission bits like SUID, SGID, and the sticky bit to enhance your system’s security framework.

Moderne Hosting Services mit Cloud Server, Managed Server und skalierbarem Cloud Hosting für professionelle IT-Infrastrukturen

Apache Airflow on Ubuntu 24.04 with Nginx and SSL

Apache, Tutorial

This guide provides step-by-step instructions for installing and configuring the Cohere Toolkit on Ubuntu 24.04. It includes environment preparation, dependency setup, and key commands to run language models and implement Retrieval-Augmented Generation (RAG) workflows. Ideal for developers building AI applications or integrating large language models into their existing projects.