How can I handle concurrency in programming?

How can I handle concurrency in programming?

Concurrency in programming refers to the ability to run multiple tasks simultaneously. You can handle it using threads, asynchronous programming, or parallel processing. What specific programming language are you using?

I'm using Python. What are the best practices for concurrency in Python?

In Python, you can use the threading module for I/O-bound tasks and the multiprocessing module for CPU-bound tasks. Additionally, consider using asyncio for asynchronous programming. It's important to manage shared resources carefully to avoid race conditions.

What are race conditions and how can I prevent them?

Race conditions occur when two or more threads or processes access shared data and try to change it at the same time. You can prevent them by using locks, semaphores, or other synchronization mechanisms to ensure that only one thread can access the shared resource at a time.

Can you give me an example of using locks in Python?

Sure! Here's a simple example using the threading module:

import threading

lock = threading.Lock()

def thread_function():
    with lock:
        # Critical section of code
        print('Thread is accessing shared resource')

This ensures that only one thread can execute the code within the with lock: block at a time.