Take on a practical Python coding challenge aimed at calculating age percentiles from user inputs. Learn how to utilize Python's input and percentile functions to analyze age data effectively.
Key Insights
- Implement Python's built-in
inputfunction to prompt users to enter a percentile, converting the input string into a numeric value compatible withnp.percentile. - Create an interactive program that calculates and clearly communicates age percentiles; for instance, inputting "90" would return "90% of all people are less than 61."
- Practice coding skills within a Python environment, such as Noble Desktop's notebook setup, enabling users to efficiently analyze random age samples through percentile calculations.
Note: These materials offer prospective students a preview of how our classes are structured. Students enrolled in this course will receive access to the full set of materials, including video lectures, project-based assignments, and instructor feedback.
Let's give you a little challenge. Take this age group, and you should execute this block, like so. Now ages is in our Python environment.
This is a group of a random sample of ages. In that sample, we'd like you to take input from the user. You can use the input function built into Python to prompt the user for some information.
Of course, we are the user, since we are running this notebook, but if somebody else were using this notebook taking a look at it, they could use it as a user who wasn't the programmer. But we are going to make an input box. The user is going to enter a percentile like 25 or 75 or any number and get back the age at which that percent of people are younger.
If somebody enters 90, you should print this string. 90% of all people are less than 61. You could say younger than 61, maybe.
And for the input 40, you'd say 40% of all people are less than 27. A little hint. User input from the input function always comes in as a string, and we need to pass a number to np.percentile. All right, I'll let you folks take a stab at that, and we'll look at the solution in a moment.