all AI news
Understanding Multithreading in Python
June 27, 2024, 3:02 p.m. | Plug panther
DEV Community dev.to
Understanding Multithreading in Python
Multithreading is a technique where multiple threads are spawned by a process to execute multiple tasks concurrently. Threads run in the same memory space, which makes it easier to share data between threads than between processes. Python provides a built-in module called threading to work with threads.
Why Use Multithreading?
Multithreading can be beneficial for:
- Performing I/O-bound tasks concurrently.
- Improving the responsiveness of applications.
- Utilizing the capabilities of multi-core processors.
However, it's important to note that …
data memory multiple multithreading process processes programming python space tasks threads tutorial understanding work
More from dev.to / DEV Community
Jobs in AI, ML, Big Data
VP, Enterprise Applications
@ Blue Yonder | Scottsdale
Data Scientist - Moloco Commerce Media
@ Moloco | Redwood City, California, United States
Senior Backend Engineer (New York)
@ Kalepa | New York City. Hybrid
Senior Backend Engineer (USA)
@ Kalepa | New York City. Remote US.
Senior Full Stack Engineer (USA)
@ Kalepa | New York City. Remote US.
Senior Full Stack Engineer (New York)
@ Kalepa | New York City., Hybrid