Copy the following lines into a Jupyter Notebook one at a time. Then, fill in the lines with the instructor and run them.
# import a module
# import a module with an alias
# declare a numeric variable
# view the contents of a variable
# create a list and store it in a variable
# get the length of a list
# extract an element from a variable
# use a function
# look up documentation about a function
# read a spatial dataset from the internet
# url = "https://raw.githubusercontent.com/mhaffner/data/master/bayfield_water.geojson"
# view various geopandas attributes (area, geom_type)
# use various geopandas methods (plot, to_crs, buffer)
# check the type of an object
# view a single column
# extract certain rows from a data frame
# extract certain columns from a data frame
# set the working directory to an existing folder