Lesson 13
Introduction to Python
Big question
Why is Python useful for learning econometrics?
Lesson progress
Complete checkpoints as you learn
Learning objectives
- Explain introduction to python in plain language.
- Use script correctly in an interpretation.
- Connect the lesson idea to a formula, graph, Python result, or real example.
Simple explanation
Python is readable, popular, and strong for data work. In this course, Python is used for small calculations, tables, graphs, and later regression analysis.
Key terms
- Script
- A saved set of commands that can be run again.
- Package
- A collection of reusable tools for a specific kind of task.
- Output
- The result produced by code.
- Reproducible
- Possible to run again and get the same result.
Example
Instead of calculating the average wage by hand every time, you can write one Python command and reuse it on a new dataset.
Hello, data
1print("Hello, Ceteris Lab")2print(18 + 22 + 30)Checkpoint activity
Pause and explain this lesson's main idea in your own words before moving forward.
Try it yourself
Write one plain-English sentence explaining the main idea from this lesson.
Common mistakes
Check these before you move on.
A regression coefficient describes a pattern unless the assumptions or research design support a causal interpretation.
Quick quiz
Why is reproducible code useful?
Key takeaway
Python is the lab bench where econometric ideas become visible and repeatable.