Joanna Bieri

Applied Math Professor

Department of Economics

University of Redlands

Introduction to Programming in Python
Spring 2026

Office Location:
Duke Hall #209
Phone: 909-748-8630
E-Mail: joanna_bieri@redlands.edu
(Email or Teams are my preferred contact methods)

Programming Lab:
TBA

Link to our Canvas - for submitting work and checking grades

Link to the Book



• Important Course Documents
  
  Course Syllabus
  
  Schedule of Topics
  NOTE: as the semester progresses we may change up the schedule a bit to suit our class pace and interests. The most recent schedule will be posted here.
  
  
  
• Daily Assignments - Reading - Handouts
  
  Each day I will post the lecture videos, homework, additional reading, and other information. Make sure to check here for each day of class.
  • Day 1 - Wednesday - 1/7 - Click Here
    To be successful in programming it is important to not give up. Sometimes there are really annoying errors in the code and you have to persist in finding them. There is also often a very steep learning curve, but once you get it, it's amazing!
    PRE-CLASS:

    None

    CLASS TIME:

    Talk about syllabus and class expectations
    
    Notes (how to) - Set up your computer (important that this is done this week)
    Remember to pull the class files to your local machine and make a copy in your working directory!
    
    Hello World! - your first program - Practice 1
    
    Daily practice problems and explorations will be done using an Interactive Python Notebook (.ipynb). In notebooks you can run one line of code at a time. These are great for learning and experimentation. Anaconda is a big software packages that contains LOTS of useful apps. I usually use Jupyter Lab to interact with my Interactive Python Notebooks.
    
    When submitting more professional code, we use a Python script (.py). This is a single file that contains all your code. You run all the lines of code at the same time and see the output. Many people use a IDE to interact with and run python code. What is an IDE? Integrated Development Environment. Anaconda comes with Spyder, but you can use any IDE you like. For example" You might try PyCharm for Education. You can also just create a .py file in Jupyter Lab and then run it using a terminal window. I will explain this more as we get ready to hand in our first programming assignment.
    
    
    

    AFTER CLASS:

    Start Prepping for Day 2

    
    
  • DAY 2 - Monday 1/12
    
    PRE-CLASS:

    Following Chapter 2 of our book:
    Video: Introduction to Python and Data Types
    Video: Jupyter Notebook - Practice 2 - Walk Through
    Lecture Notes
    
    Practice 2 Assigned (aka Lecture Practice Problems Day 2) - you should work on this before class! Get these from the Git Repo! In past classes I had a link to a google colab, this semester I am posting everything to GIT. If I ever mention getting practice problems from google colab - change that in your mind to getting practice probems from GIT.

    CLASS TIME:

    Variables - The building blocks of programming
    Operations - Hey computer, do math!
    Comments - What does this code do?
    

    AFTER CLASS:

    Programming Assignment 1 Assigned - due 1/17
    Prep for Day 3

    
    EXTRA:

    How to Succeed - Daily Workflow!
    Using PyCharm to run Python
    Using a terminal window to run Python
    Having trouble with Jupyterlab-git? Try github desktop. It will be a separate app that can add the files from git to your computer.
    

    
    
  • DAY 3 - Wednesday 1/14
    
    PRE-CLASS:

    Following Chapter 3 of our book:
    Video: Introduction to Lists
    Video: Jupyter Notebook - Practice 3 - Walk Through
    Video: The Zen of Python
    Lecture Notes
    
    Practice 3 Assigned - you should work on this before class!

    CLASS TIME:

    Lists - really cool lists!
    

    AFTER CLASS:

    Programming Assignment 1 Assigned - due 1/16
    Prep for Day 4

    
    EXTRA:

    Let me know what videos you want!

    
    
  • No Class - 1/19/25 - Martin Luther King Jr. Holiday
  • DAY 4 - Wednesday 1/21
    
    PRE-CLASS:

    Following Chapter 4 of our book:
    Video: Introduction to Loops, Slicing, and Tuples
    Video: Jupyter Notebook - Practice 4 - Walk Through
    Lecture Notes
    
    Practice 4 Assigned - you should work on this before class!

    CLASS TIME:

    Loops - really cool loops!
    

    AFTER CLASS:

    Programming Assignment 2 Assigned - due 1/23
    Prep for Day 5

    
    

    
    
  • DAY 5 - Monday 1/26
    
    PRE-CLASS:

    Following Chapter 5 of our book:
    Video: Introduction to Conditionals, If and Else
    Video: Jupyter Notebook - Practice 5 - Walk Through
    Lecture Notes
    
    Practice 5 Assigned - you should work on this before class!

    CLASS TIME:

    Conditionals, Booleans, If, and Else
    

    AFTER CLASS:

    Programming Assignment 3 Assigned - due 1/30
    Prep for Day 6
    Check in - How are things going?
    

    
    

    
    
  • DAY 6 - Wednesday 1/28
    
    PRE-CLASS:

    Following Chapter 5 of our book:
    Video: Jupyter Notebook - Practice 6 - Walk Through - if-elif-else
    Lecture Notes
    
    Practice 6 Assigned - you should work on this before class!

    CLASS TIME:

    More of if-elif-else
    

    AFTER CLASS:

    Programming Assignment 3 Assigned - due 1/30
    Prep for Day 7

    
    

    
    
• Homework Solutions - Exam Review
  
  HW 1 - Introduction to Python SOLN
  All Practice Problems and Programming Assignment solutions are available on Canvas