Lecture Notes

(Refresh your browser to see latest content)

Supplemental

• Formatting numbers and precision, notebook file

Excel

Class 2 Excel basics

• questions
• notes (right click, save as)
• notes key (right click, save as)

Class 3 Functions, plots

• questions
• notes (right click, save as)
• notes key (right click, save as)
• pipe_data.txt (right click, save as)

Class 4 Equations

• questions and extra saucy goodness!
• slides
• notes (right click save as)
• notes key (right click save as)

Class 5 Curve fits

• questions
• notes (right click save as)
• notes key (right click save as)

Class 6 ODEs

• questions
• slides
• notes (right click save as)
• notes key (right click save as)

Exam 1

• Sample test via ChatGPT: Prompt
  • Output

Python

• Here’s a link to a nice language summary: Learn X in Y minutes where X=Python
• See also the the list of online resources on the class page
• Google Colab for online notebooks
• Try Jupyter for online notebooks

Class 7 Python basics, notebooks

• questions
• slides
• notes, notebook file

Class 8 Markdown, equations

• notes notebook file
• markdown cheatsheet
• LaTeX cheatsheet
• Units

Class 9 Functions

• questions python_functions.ipynb
• notes, notebook file
• notes worked, notebook file

Class 10 Solvers

• questions
• notes, notebook file
• notes worked, notebook file

Class 11 Terminal

• Terminal
  • Additional helps
• Vim

Class 12 Conditionals and units

• conditionals, notebook file
• units, notebook file

Exam 2

• Sample test via ChatGPT: Prompt
  • Output

Class 14 Loops

• questions
• notes, notebook file
• notes worked, notebook file

Class 15 Arrays

• notes, notebook file
• notes worked, notebook file

Class 16 HW problems, plotting

• notes plotting, notebook file

Class 17 File IO, Variables, Scope

• notes files, notebook file
• notes variables, scope, notebook file
• notes list comprehensions

Class 18 Tuples, dictionaries, pickles, json

• tuples, dictionaries, notebook file
• pickle files, notebook file
• json files, notebook file
  • input.json needed for the json.ipynb notebook