How can the impact of GIL in Python be reduced to improve the performance of multithreaded applications?
Python
How did you come to the profession of developer and what experience did it involve?
How can you determine that a parallel thread in Python is stuck or hasn't finished?
What will happen if a blocking delay time.sleep() is applied in an asynchronous function?
Have you had experience developing web applications using Flask?
What component manages task switching in the asyncio library?
Do you have experience working with machine learning models based on multilayer perceptrons?
What attracted you to development in the server-side area and why did you choose this particular direction?
Have you had experience with multithreading in Python and how did you implement parallel task execution?
What demotivates or causes dissatisfaction in your work sometimes?
Can you give an example of using a complex Lambda function in code?
Have you had experience using special methods in Python that start and end with double underscores?
Explain what anonymous functions are in programming and how they are used.
Have you had experience working with computer vision models?
Have you had experience writing or working with automated tests for the client-side user interface?
Have you had experience using the AIOHTTP library in your projects?
Have you worked with STEP format files in your projects?
Are you prepared to participate in an online session related to solving algorithmic problems?
Explain what GIL is in Python and what role it plays in thread execution.
What are the differences in capabilities and approaches when using pydantic and dataclasses in Python?