We started investigating the types of queries we might be interested in at the end of the previous chapter, but we’ve not yet written any routines to help us make sense of the data we’re collecting. In this chapter, we return to Jupyter notebooks, this time as a data analysis tool rather than a prototyping aid.
IPython and Jupyter seamlessly support both synchronous and asynchronous function calls. We have a (mostly) free choice between the two types of API. As the rest of the apd.aggregation package is asynchronous, I recommend that we create some utility coroutines to extract and ...
