/Python/Python threading vs multiprocessing

Python threading vs multiprocessing

The Python threading module uses threads instead of processes.
Threads uniquely run in the same unique memory heap.
Whereas Processes run in separate memory heaps.
This makes sharing information harder with processes and object instances.
One problem arises because threads use the same memory heap,
multiple threads can write to the same location in the memory heap
which is why the global interpreter lock(GIL) in CPython was created
as a mutex to prevent it from happening.

Source: dev.to

Similar codes

4 votes298 views3 answers
AttributeError: module 'tensorflow._api.v2.train' has no attribute 'GradientDescentOptimizer' site:stackoverflow.com
Python
0 vote386 views1 answer
Rebinding a list stored in a Flask Session
Python Flask
5 votes229 views2 answers
Jupyter convert cell to text
Python
1 vote289 views1 answer
Number of database queries django
Python
1 vote269 views1 answer
How does urllib.parse.urlsplit work in python
Python
1 vote263 views2 answers
Tkinter margin
Python
0 vote294 views1 answer
Python enum declare
Python
0 vote257 views1 answer
Code suggestion html not working in django-html
Python
16 votes288 views2 answers
What is my python working directory
Python
0 vote303 views3 answers
Flask socketio with gevent
Python