Now that we have seen how Python works in Jupyter, including the underlying encoding, then how does Python accessing a large dataset work in Jupyter?
I started another view for pandas using
Python Data Access as the name. From here, we will read in a large dataset and compute some standard statistics on the data. We are interested in seeing how we use pandas in Jupyter, how well the script performs, and what information is stored in the metadata (especially if it is a larger dataset).
Our script accesses the
iris dataset that's built into one of the Python packages. All we are looking to do is to read in a slightly large number of items and calculate some basic operations on the dataset. We are really interested to ...