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README.md

Review python iteration, control flows, and functions

Unit 1, Lesson 4


Materials We Provide

Topic Description Link
Lesson Jupyter Notebook with instructions and empty cells for codealong Link
Data Coffee Preferences Link
Solutions Sample solutions to codealong Link

Dataset description: Small, unclean dataset of individuals' numbers of orders from different coffee shops. Used for control flow practice.


Learning Objectives

  • Explore Python control flow and conditional programming.
  • Implement For and While loops to iterate through data structures.
  • Apply if, else conditional statements.
  • Create functions to perform repetitive actions.
  • Demonstrate error-handling using try, except statements.
  • Combine control flow and conditional statements to solve the classic "FizzBuzz" code challenge.
  • Use Python control flow and functions to help us parse, clean, edit and analyze the Coffee Preferences dataset.

Student Requirements

Before this lesson(s), students should already be able to:

  • Know python data types: string, int, float, boolean, tuple, list, dictionary

Lesson Outline

  • If Else Statement
    • Write an if-else statement to check whether the suitcase is over 50lb.
    • Write an if-else statement for multiple conditions.
  • Iterating With For Loops
    • Write a for-loop that iterates from the number 1 to the number 15.
    • Iterate from 1 to 15, printing whether the number is odd or even.
    • Iterate from 1 to 30 with the various instructions.
    • Iterate through a list of animals, and print each one in all caps.
    • Iterate through the animals list. Capitalize the first letter and append the modified animals to a new list.
    • Iterate through the animals. Print out the animal name and the number of vowels in the name.
  • Functions
    • Write a function that takes word as an argument and returns the number of vowels in the word.
    • Write a function to calculate the area of a triangle using its height and width.
  • While Loops
    • While loops and strings
    • Try to convert elements in a list to floats
  • Practice control flow on Coffee Preference dataset
    • Load coffee preference data from file and print
    • Remove the remaining newline '\n' characters with a for-loop
    • Split the lines into "header" and "data" variables.
    • Split the header and the data strings on commas.
    • Remove the "Timestamp" column.
    • Convert numeric columns to floats and empty fields to None.
    • Count the None values per person, and put counts in a dictionary.
    • Calculate average rating per coffee brand.
    • Create a list containing only the people's names.
    • Picking a name at random. What are the odds of choosing the same name three times in a row?
    • Construct a while loop to run the choosing function until it returns True.

Additional Resources

For more information on this topic, check out the following resources: