Concurrency and Parallelism

Concurrency and parallelism are techniques used to improve the performance of an application by utilizing the available resources effectively. They aim to increase the efficiency and responsiveness of the application, especially in scenarios where tasks can be executed simultaneously.

What is Concurrency?

Concurrency refers to the ability of a program to execute multiple tasks concurrently. It allows multiple threads to make progress together, even if they are not executing simultaneously. Concurrency can be achieved through the use of threads.

In Python, the threading module provides a way to create and manage threads. Here's an example of using concurrency with threading in Python:

1import threading
2
3
4def print_numbers():
5    for i in range(1, 101):
6        print(i)
7
8
9def print_letters():
10    for letter in 'ABCDEFGHIJKLMNOPQRSTUVWXYZ':
11        print(letter)
12
13
14# Create two threads
15t1 = threading.Thread(target=print_numbers)
16t2 = threading.Thread(target=print_letters)
17
18# Start the threads
19t1.start()
20t2.start()
21
22# Wait for the threads to finish
23 t1.join()
24 t2.join()

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if __name__ == "__main__":

  # Python logic here

  import threading

​

​

  def print_numbers():

      for i in range(1, 101):

          print(i)

​

​

  def print_letters():

      for letter in 'ABCDEFGHIJKLMNOPQRSTUVWXYZ':

          print(letter)

​

​

  # Create two threads

  t1 = threading.Thread(target=print_numbers)

  t2 = threading.Thread(target=print_letters)

​

  # Start the threads

  t1.start()

  t2.start()

​

  # Wait for the threads to finish

  t1.join()

  t2.join()