how often do you use python for crypto projects?

Hey All,

Are many of you frequently using python when it comes to data processing, statistical modeling, or backtesting algos? If so could those workloads benefit from large scale parallelization?

I'm currently in the process of building an open source python package (only a single function) that auto-scales in your cloud env allowing massive levels of parallelism. The goal is to make it incredibly simple to run any workload in the cloud, leveraging as many machines as needed, on any hardware and in any environment. If you're interested in being an alpha tester or a collaborator please comment or DM me, I want to get it into the hands of users and learn from them. Even if you're not interested in testing out the tool I would love to hear how you leverage python today, thanks! I want to deliver value to the community by leveraging my skills --> algo trading and cloud infra

Here is a sneak peak of what the package looks like.

from burla import remote_parallel_map # Arg 1: Any python function: def my_function(my_input): ... # Arg 2: List of inputs for `my_function` my_inputs = [1, 2, 3, ...] # Calls `my_function` on every input in `my_inputs`, # at the same time, each on a separate computer in the cloud. remote_parallel_map(my_function, my_inputs)