Week 5 (September 23 – September 29)

Tuesday, September 24 (1:15 P.M. – 3:15 P.M., LISB 131) Class Session 5
Topics	Python for Machine Learning Crash Course – Part 2 Pandas (including plotting) Plotting With Matplotlib
In-Class Activities	Review solutions to prior week's coding assignment Demo: Pandas (including plotting in Pandas) Discussion: TBA
Required Readings	McKinney – Chapter 5 (Getting Started with pandas) McKinney – Chapter 6 - 6.1 (Reading and Writing Data in Text Format) McKinney – Chapter 7 - 7.1 (Handling Missing Data), 7.2 (Data Transformation) McKinney – Chapter 9 (Plotting and Visualization)
Required Recordings	Lecture Video: Pandas This lecture is presented by Jenna Kim. Jenna and I were co-developers of this course material. Lecture Video: Matplotlib This lecture is presented by Jenna Kim. Jenna and I were co-developers of this course material.
Other Resources	Files related to Pandas Lecture Files related to Matplotlib Lecture LinkedIn Learning (2017). pandas Essential Training. LinkedIn Learning (2024). pandas Essential Training (new version).

Friday, September 27 (2:00 P.M. – 3:00 P.M., Zoom) Optional Session
Lab Session	On Friday afternoons from 2:00 PM till 3:00 PM, we will be holding an optional Lab Session using Zoom. Please drop by to ask a question, to discuss solutions to previous assignments, to get help with the current assignment, to discuss the final project, or just to say hello. Please use a headset while participating.

Sunday, September 29, @ 11:55 P.M. Weekly Assignments Deadline
Coding Assignments Due	Adjust Settings on PyCharm Professional Description: PyCharm Professional does not come with the settings that we need as it is configured out-of-the-box. So, we will be changing 2 important settings that will improve our programming experience and assure program quality. Tutorial: Adjust Settings on PyCharm Professional (Windows and macOS) Pandas Assignment Description: To build your skills in using Pandas dataframes and in plotting using the Pandas interface, download the examples from the LinkedIn Learning course on Pandas that Kevin used for the in-class demo. Do the exercises through the chapter on plotting. PLEASE NOTE that there is no submission for this assignment. We are leaving it to you to get this important practice opprtunity. Matplotlib Coding Assignment Description: All of the materials that you will need to complete this assignment are contained in the Starter Files zip file below. Instructions on how to do the assignment and how to submit your work are included as part of the Jupyter notebook. Please follow those instructions. Submit to: Matplotlib Coding Assignment Starter Files for Matplotlib Coding Assignment Grading Rubric for Matplotlib Coding Assignment

Sunday, September 29, @ 11:55 P.M.
Weekly Assignments Deadline

Coding Assignments Due

Adjust Settings on PyCharm Professional
Description: PyCharm Professional does not come with the settings that we need as it is configured out-of-the-box. So, we will be changing 2 important settings that will improve our programming experience and assure program quality.
- Tutorial: Adjust Settings on PyCharm Professional (Windows and macOS)
Pandas Assignment
Description: To build your skills in using Pandas dataframes and in plotting using the Pandas interface, download the examples from the LinkedIn Learning course on Pandas that Kevin used for the in-class demo. Do the exercises through the chapter on plotting. PLEASE NOTE that there is no submission for this assignment. We are leaving it to you to get this important practice opprtunity.
Matplotlib Coding Assignment
Description: All of the materials that you will need to complete this assignment are contained in the Starter Files zip file below. Instructions on how to do the assignment and how to submit your work are included as part of the Jupyter notebook. Please follow those instructions.
Submit to: Matplotlib Coding Assignment
- Starter Files for Matplotlib Coding Assignment
- Grading Rubric for Matplotlib Coding Assignment

Weekly Course Schedule – Fall 2024