Python "Quick Start" Training Sessions

These notebooks are quick starters originally designed for CEE 284, when we did all of our hard-core programming at the end of the semester. They now serve as a quick start for people wanting to jump onto Python quickly.

To download Python Jupyter Notebooks

1. Right-click on the link and select the download link option.
2. If needed, strip off the trailing ".txt" leaving behind the ".ipynb" suffix.
3. Move the link to a desired location and click on the file from the file manager.

Session 1: Exploring Jupyter Notebooks and Basic Python Structures

• Part 1a - Exploring the Jupyter Notebook's Markdown Language
  • Completed Jupyter Notebook for Part 1a with all Markdown Examples Included
  • Web Page of Completed Jupyter Notebook for Part 1a
• Part 1b - The bare-bone basics of Python (variable types, loops, and decision blocks)
  • Kick-Starter Raw Jupyter Notebook for Part 1b's Classtime Activity
  • Web Page of Completed Jupyter Notebook for Part 1b

Session 2: Arrays, Math, and Plotting in Python (numpy and matplotlib)

• Reference/Manual Pages
  • NumPy Reference Page
  • matplotlib.pyplot Reference Page
• Part 2 - Arrays, Math, and Simple Plotting in Python
  • Kick-Starter Raw Jupyter Notebook for Part 2's Classtime Activity
  • Web Page of Completed Jupyter Notebook for Part 2

Session 3: Symbolics and STEM Libraries in Python (sympy and scipy)

• Reference/Manual Pages
  • SymPy Tutorial Page
  • SciPy Reference Page
• Part 3: Symbolics and STEM Libraries: SymPy and SciPy
  • Kick-Starter Raw Jupyter Notebook for Part 3's Classtime Activity
  • Web Page of Completed Jupyter Notebook for Part 3

Session 4: Inputing Data and Simple Statistics (pandas, sklearn)

• Reference/Manual Pages
  • Pandas User Guide
  • scikitlearn Users Guide
• Part 4: Inputting Data and Simple Statistics
  • Python
    • Kick-Starter Raw Jupyter Notebook for Part 4's Classtime Activity
    • Web Page of Completed Jupyter Notebook for Part 4
  • R
    • Web Page of R Markdown Notebook for this activity
    • R Markdown Notebook (source code) for this activity

Session 5: Your Roots Homework in Python

• Part 5: Solving Root Problems in Python
  • Kick-Starter Raw Jupyter Notebook for Part 5's Classtime Activity
  • Web Page of Complete Jupyter Notebook for Part 5

Session 6: Your Linear Algebra Homework in Python

• Part 6: Solving Simultaneous Equations in Python
  • Kick-Starter Raw Jupyter Notebook for Part 6's Classtime Activity
  • Web Page of Complete Jupyter Notebook for Part 6