![]() ![]() ![]() To demonstrate concurrency in Python, we will write a small script to download the top popular images from Imgur. If you haven’t read it yet, I suggest you take a look at Eqbal Quran’s article on concurrency and parallelism in Ruby here on the Toptal Engineering Blog. It must be made clear that one can still write code in Python that runs concurrently or in parallel and make a stark difference in resulting performance, as long as certain things are taken into consideration. ![]() Due to this, the Python multithreading module doesn’t quite behave the way you would expect it to if you’re not a Python developer and you are coming from other languages such as C++ or Java. Enjoy!ĭiscussions criticizing Python often talk about how it is difficult to use Python for multithreaded work, pointing fingers at what is known as the global interpreter lock (affectionately referred to as the GIL) that prevents multiple threads of Python code from running simultaneously. Note: By popular request that I demonstrate some alternative techniques-including async/await, only available since the advent of Python 3.5-I've added some updates at the end of the article. ![]()
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