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Debugging within the Research Environment

I'm having difficulty trying to figure out how to run a debugger from within a Quantopian Research Environment notebook. Perhaps, it is because I'm new to working with Ipython notebooks. It appears to me that some of the capabilities of Ipython may not available within the research environment. Is that true?

I'm trying to port my code to zipline within the research environment to speed up backtesting and development. I was also hoping to have use of an enhanced debug environment.

I'm aware of some of the API incompatibilities between the IDE and zipline in the research environment. I've ported a simple test algorithm already. So, that isn't an issue.

Can anyone nudge me in the proper direction? I can research the details if someone can just aim me in the right direction.

2 responses

Hi Rob,

You're right that there isn't a native debugger in research and that not all IPython capabilities are available (for security reasons). If you're having trouble working through some code in the notebook, try printing the information. This will expose more about the objects, variables, and structures. It's similar to logging (or well, printing ;) ) in the IDE.


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Thanks for the reply. I've already been "print" debugging along with a few other workarounds. I was just hoping that access to a real debugger was available. Hopefully this item is on the wish list for the future.