This is a .csv (Comma Separated Values) file that contains the data you'll need with each column separated by commas. There are roughly 19,000 rows in this dataset. This dataset is licensed under the Creative Commons BY license, you may also read the Life Expectancy Data License.
Download the dataset
Load the dataset in your Python program
Iterate through the data line by line
Split each line into parts
Find the lowest value for life expectancy and the highest value for life expectancy in the dataset. (Note that at this point, you just need the value for this, not the year and the country for that value.)
Identify the year and country that has the largest drop from one year to the next.
Allow the user to type in a country, then show the minimum, maximum, and average life expectancy for that country.