Notes on Asynchronous Python Programming
As promised in our last quant dev post:
we are looping back to the basics, and demonstrating how we arrive at the advanced quantitative backtesting module from ground zero. In order to get intimate with the programming aspect of it, I have decided to kick off with some notes on asynchronous programming with Python.
This is part one of the notes on asyncio - next week we will do one more - after which we will assume all readers have the capacity to do asynchronous programming. This would come in time and again in our Python quant dev posts, so it is worth paying attention to if you have not yet mastered the asyncio workflow.
Preview:
These notes are available for all to read, with some useful code examples, commentaries and should work as a nice practical handbook for Python devs:
I am adding this chapter to the market notes.
Happy programming.