Python Reading

• Read and implement the material from Chapters 1 and 2 in the pandas Cookbook.

Lecture Activity

• The real world is messy. Along with data wrangling to handle missing or bad data, it is common to see errors pop up due to:
  
  • program versions chaning over time
  • code being broken when it is modified (especially via a side effect)
  • workflows change. people change, and popular tools come and go
  • as code becomes more complex, bugs can pop up in unexpected ways. Developers know this and are constantly testing and documenting code.
• Notice that the pandas Cookbook material is hosted on GitHub.com 
• Also note that the Chapters are Jupyter Notebooks
  • Both these tools are made for the purpose of SHARING code
• Try to download the FDIC Failed Bank List from data.gov -- caveat! Sometimes files can move over time. Alternatively, you can download it from the course website here.
• Understand fdic.py completely. It may have been written a while ago -- and it's possible that some of the Pandas methods have changed. Can you fix it?
• Identify something useful to do with the data and figure out how to do it.
  • Try prompting an LLM to suggest something. Can you follow it? Does it give you ideas? Or make you stop having ideas?

Active Learning

• Try out these tools:
  • Download and install Git for your computer
  • Download and install VSCode for your computer
  • Clone the cookbook from GitHub
• Read and implement the material from Chapters 3 and 4 in the pandas Cookbook.