Additional resources

For additional help and info, I recommend the following resources.

• Some good documentation by W3 schools. There are even sections where you can interactively explore the code and its output.

  • https://www.w3schools.com/python/default.asp

• YouTube videos by Corey Schafer (and many others). We will cover some, but not all, of the aspects of each of these topics. He also has man videos covering more advanced topics if you are interested.

  • Strings: https://youtu.be/k9TUPpGqYTo

  • Integers and Floats: https://youtu.be/khKv-8q7YmY

  • Lists, Tuples, and Sets: https://youtu.be/W8KRzm-HUcc

  • Dictionaries: https://youtu.be/daefaLgNkw0

  • Conditionals and Booleans: https://youtu.be/DZwmZ8Usvnk

  • Loops and Iterations: https://youtu.be/6iF8Xb7Z3wQ

  • Functions: https://youtu.be/9Os0o3wzS_I

• Here are more videos (by the same person) explaining how to use the pandas package. However, in these videos he is using Jupyter Notebooks.

  • Getting started with data analysis: https://youtu.be/ZyhVh-qRZPA?t=460

  • DataFrame and Series basics: https://youtu.be/zmdjNSmRXF4

  • Indexes: https://youtu.be/W9XjRYFkkyw

  • Filtering: https://youtu.be/Lw2rlcxScZY

  • Updating rows and columns: https://youtu.be/DCDe29sIKcE

  • Add/remove rows and columns: https://youtu.be/HQ6XO9eT-fc

  • Sorting: https://youtu.be/T11QYVfZoD0

  • Grouping and aggregating: https://youtu.be/txMdrV1Ut64

  • Cleaning: https://youtu.be/KdmPHEnPJPs

  • Dates and time series: https://youtu.be/UFuo7EHI8zc

  • Reading/writing data: https://youtu.be/N6hyN6BW6ao