how to wait in python with code examples

As a Python developer, you may find situations where you need to make your program wait for a certain amount of time before executing the next command. In such situations, the Python language provides convenient ways to implement waiting mechanisms in your code. There are various ways to tackle this problem, including sleep(), event handling, and threading. In this article, we will explore how to wait in Python with code examples.

Using the sleep() function:
Python's time module comes with a sleep() function, which can be used to pause the execution of your program for a specified number of seconds. This function is useful when you want to add a pause in your code or if you need to slow down a loop to avoid overloading a system. The following code shows how you can use the sleep() function to pause your program for three seconds:

import time

The output of the above code will be as follows:

(a 3-second pause)

Using the time.sleep() function, we paused the program for three seconds after printing "Hello."

Using event handling:
In some cases, you may want to wait until a specific event occurs before executing the next command in your program. To implement such a scenario, Python offers an event handling mechanism based on the use of the threading module and an Event object. The Event object provides a convenient way to communicate between threads and processes. The following code demonstrates how to use an Event object to wait until a specific event has occurred:

import threading

def my_function(event):

event = threading.Event()
t = threading.Thread(target=my_function, args=(event,))

In the code above, my_function() is a function that takes an Event object as an argument. When the function is called, it prints "Hello," then waits until the Event object is set before printing "World." The Event object is created on line 9 and is passed as an argument to the my_function() function on line 12. A new thread of execution is created on line 13, which calls the my_function() function with the Event object. The new thread waits for the Event object to be set by calling the wait() method on line 6. Meanwhile, the main thread sets the Event object on line 14 using the set() method.

Using threading:
Python's threading module provides an easy way to execute multiple threads simultaneously within a program. This module allows you to create various threads that can operate independently and can perform multiple operations at the same time. You can also pause, resume, and stop threads using methods provided by the threading module. In the following example, we will use the threading module to create a new thread that waits for five seconds and then prints:

import threading
import time

def my_function():

t = threading.Thread(target=my_function)

In this example, a new thread is created and started using the threading module. The target of the thread is the my_function() function, which prints "Hello," waits for five seconds using the time.sleep() method, and then prints "World."

In this article, we have explored various ways to wait in Python along with code examples. Python provides multiple mechanisms to implement waiting in programs, including the sleep() function, event handling, and multithreading. Depending on the specific use case, you can leverage one of these mechanisms to pause, resume, or stop the execution of your program until a specific condition has been met. By using these techniques, you can create more robust and efficient programs that meet the specific requirements of your project.

  1. Using sleep() function:

The sleep() function is a convenient way to add pauses or delays to your code. Here are some more examples of how to use it:

  • Wait for a certain number of milliseconds: You can pass a float or integer value as an argument to sleep() to pause your program for a certain number of seconds. For example, time.sleep(0.5) will wait for half a second.

  • Pause between iterations in a loop: If you're using a loop to perform a task multiple times, adding a pause between iterations can help prevent overloading a system. For instance, consider a loop that sends requests to a server. You may want to add a pause between each request to avoid overwhelming the server. Here's an example:

import time

for i in range(10):
# send request
print(f"Sent request {i}")
time.sleep(1) # pause for 1 second before next request

  • Wait until a specific time: You can use the sleep() function to pause your program until a specific time has been reached. For example, if you want your program to wait until midnight before executing the next command, you can calculate the number of seconds until midnight and use the sleep() function to pause until then.
  1. Using event handling:

Event handling is a powerful mechanism in Python that allows you to pause your program until a specific event occurs. In the previous example, we used the threading module and an Event object to implement event handling. Here are some more examples of how to use event handling:

  • Wait for a button click: If you're building a GUI application, you can use event handling to pause your program until a button is clicked. Here's an example using the tkinter module:

import tkinter as tk

def button_clicked():
print("Button clicked")

root = tk.Tk()

button = tk.Button(root, text="Click me", command=button_clicked)


In this example, we create a button widget using the tkinter module. When the button is clicked, the button_clicked() function is called, which prints "Button clicked" to the console.

  • Wait for a file to be created: If your program needs to wait until a file is created before executing the next command, you can use event handling to pause until the file has been created. The following example demonstrates how to do this using the watchdog module:

from watchdog.observers import Observer
from import FileSystemEventHandler

class MyHandler(FileSystemEventHandler):
def on_created(self, event):
print(f"File created: {event.src_path}")

observer = Observer()
observer.schedule(MyHandler(), path='.')

while True:
except KeyboardInterrupt:

In this example, we use the watchdog module to monitor a directory for changes. When a file is created in the directory, the on_created() method of the MyHandler class is called, which prints the path of the newly created file to the console.

  1. Using threading:

The threading module in Python allows you to execute multiple threads simultaneously within a program. Threads are a powerful tool for parallelizing code and can be used to perform multiple tasks at the same time. Here are some more examples of how to use threading in Python:

  • Parallelizing a loop: If you're using a loop to perform a task that can be done independently multiple times, you can use threading to parallelize the loop and execute the iterations simultaneously. Here's an example:

import threading
import time

def worker(item):
print(f"Processing item {item}")
print(f"Item {item} processed")

items = [1, 2, 3, 4]

threads = []
for item in items:
t = threading.Thread(target=worker, args=(item,))

for t in threads:

In this example, we define a worker() function that takes an item as an argument and processes it. We create a list of items and use a loop to create a new thread for each item using the threading module. The threads are started and added to a list, and then we join the threads to wait for them to finish before moving on to the next command.

  • Multithreaded network programming: If you're writing a program that communicates with multiple clients, you can use threading to handle each client in a separate thread. This allows your program to handle multiple clients at the same time and avoid delays caused by a single-threaded program waiting for a response from a client. Here's an example using the socket module:

import socket
import threading

def handle_client(conn, addr):
print(f"New connection from {addr}")
data = conn.recv(1024)
print(f"Received {data} from {addr}")
conn.sendall(b"Response from server")

server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.bind(('localhost', 8000))

while True:
conn, addr = server_socket.accept()
t = threading.Thread(target=handle_client, args=(conn, addr))

In this example, we create a server socket using the socket module and listen for incoming connections. When a new client connects, we create a new thread for that client using the handle_client() function. The handle_client() function receives the connection object and the client's address as arguments and handles the client's requests in a separate thread.

Popular questions

  1. What is the sleep() function in Python, and how is it used for waiting?

The sleep() function in Python's time module is used to pause the execution of a program for a specified amount of time. It accepts an integer or float value as an argument, which represents the number of seconds the program should wait for before executing the next line of code.

  1. What is event handling in Python, and how can it be used for waiting?

Event handling in Python is a mechanism that allows a program to wait until a specific event occurs before proceeding to the next line of code. This mechanism involves using an Event object from the threading module, which can be set or cleared to signal that an event has occurred. Other threads in the program can wait for the Event object to be set before proceeding with their own tasks.

  1. How can threading be used to wait for a specific event in Python?

Threading in Python allows a program to execute multiple threads of code simultaneously, which can be used to handle different tasks simultaneously. To wait for a specific event, the program can use a thread that waits for that event using a loop or blocking function. When the event occurs, the waiting thread can perform the necessary task and signal other threads that the event has occurred.

  1. What are some common use cases for waiting in Python?

Waiting is an essential part of many Python programs, particularly those that involve communicating with other processes or executing long-running tasks. Some common use cases for waiting in Python include:

  • Waiting for an external process to finish executing before proceeding.
  • Waiting for data to be read from a file or database.
  • Delaying execution of a loop to avoid overloading a system.
  • Waiting for a user input or response.
  1. What are the benefits of using waiting mechanisms in Python?

Using waiting mechanisms in Python can help improve the efficiency and responsiveness of a program by allowing it to pause execution until a specific event occurs. This can help reduce the load on system resources and prevent the program from freezing or becoming unresponsive. Additionally, waiting mechanisms can help simplify code by allowing the program to break up complex tasks into smaller, more manageable pieces.


"Python Waiting"

As an experienced software engineer, I have a strong background in the financial services industry. Throughout my career, I have honed my skills in a variety of areas, including public speaking, HTML, JavaScript, leadership, and React.js. My passion for software engineering stems from a desire to create innovative solutions that make a positive impact on the world. I hold a Bachelor of Technology in IT from Sri Ramakrishna Engineering College, which has provided me with a solid foundation in software engineering principles and practices. I am constantly seeking to expand my knowledge and stay up-to-date with the latest technologies in the field. In addition to my technical skills, I am a skilled public speaker and have a talent for presenting complex ideas in a clear and engaging manner. I believe that effective communication is essential to successful software engineering, and I strive to maintain open lines of communication with my team and clients.
Posts created 3227

Leave a Reply

Your email address will not be published. Required fields are marked *

Related Posts

Begin typing your search term above and press enter to search. Press ESC to cancel.

Back To Top