DataCamp

Dictionaries for data science

For this exercise, you'll use what you've learned about the zip() function and combine two lists into a dictionary.

These lists are actually extracted from a bigger dataset file of world development indicators from the World Bank. For pedagogical purposes, we have pre-processed this dataset into the lists that you'll be working with.

The first list feature_names contains header names of the dataset and the second list row_vals contains actual values of a row from the dataset, corresponding to each of the header names.

Create a zip object by calling zip() and passing to it feature_names and row_vals. Assign the result to zipped_lists.
Create a dictionary from the zipped_lists zip object by calling dict() with zipped_lists. Assign the resulting dictionary to rs_dict.

Take Hint (-30 XP)

Exercise

Dictionaries for data science

Instructions