Python For Loops

Building on the Python Lists lesson, you’ll continue to develop your Python programming skills by learning the basics and syntax of Python for loops to analyze data to prepare to use Python for Data Analysis and Data Science.

In this lesson, you’ll learn how to write Python for loops, as well as how to compute the average using for loops. For loops are important because they simplify repetitive processes by looping through an iterable object (like a list, tuple, set, etc.) and performing the same action for each entry. For example, with only a few lines of code, a for loop would allow us to iterate through a list, performing the same action on each item in the list even if it’s hundreds, thousands, or even millions of entries long!

When you’ve finished this lesson, if you feel like you need practice, think of something you can create using what you’ve learned so far—it doesn’t have to be big. It can be something small, like writing your own for loop. Or if you feel like you need more practice with Python for loops (it’s a tough concept to grasp), check out this tutorial explaining the basics of for loops.


  • Learn how to structure a for loop
  • Learn how to open a dataset using Python
  • Learn how to repeat a process using a for loop
  • Learn how to analyze data using a for loop

Lesson Outline

  1. Repetitive Processes
  2. For Loops
  3. For Loops Continued
  4. For Loop Structure
  5. The Average App Rating
  6. Opening a File
  7. Other Kinds of Errors
  8. Dealing with Errors
  9. Alternative Method to Compute an Average
  10. Review
  11. Takeaways

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