The threading module provides thread-based concurrency in Python and few developers know about it, let alone, how to use it well.
The main reason is because it is widely thought that Python does not support threads because of the Global Interpreter Lock (GIL).
This is false.
In fact, threads remain the best approach to achieving concurrency for IO-bound tasks.
* Do you know how to start a thread? * Do you know how to use mutex locks with Python threads? * Do you know how to identify a race condition?
Discover 120 interview questions on Python threading.
* Study the questions and answers and improve your skill. * Test yourself to see what you really know, and what you don't. * Select questions to interview developers on a new role.
Prepare for an interview or test your Python threading skills today.
Jason Brownlee, Ph.D. trained and worked as a research scientist and software engineer for many years (e.g. enterprise, R&D, and scientific computing), and is known online for his work on Computational Intelligence (e.g. Clever Algorithms), Machine Learning and Deep Learning (e.g. Machine Learning Mastery, sold in 2021) and Python Concurrency (e.g. Super Fast Python).