CSU-LA/NASA DIRECT-STEM data science workshop

Introduction to Python and Predictive Modeling

• Instructor: Preston Hinkle ( email: thinkle at uci dot edu)
• TAs:
  • Victoria Lim (Day 1)
  • Anna Kwa (Day 2)

Schedule

Day 1

Time	Activity
9:30-10:00 am	Sign-in + coffee
10:00-10:30 am	Introductions and course overview
10:30-12:00 pm	Session 1.1: Coding warm-up
12:00-1:30 pm	Lunch
1:30-3:00 pm	Session 1.2: Python's scientific computing infrastructure
3:00-3:15 pm	Break
3:15-5:00 pm	Session 1.3: Exploratory data analysis in Python

Day 2

Time	Activity
09:30-10:00 am	Coffee
10:00-12:00 am	Session 2.1: Linear regression
12:00-1:30 pm	Lunch
1:30-3:00 pm	Session 2.2: Logistic regression
3:00- pm	Session 2.3: Intro to version control w/ git and closing remarks

Workshop preliminaries

• For this workshop we will be using the Anaconda distribution of Python 3.6
• Follow these instructions to download and install Python on your local machine, even if you already have Python installed!
• If you already have an Anaconda distribution of Python 3.6 installed, you can probably skip this; otherwise, please continue
• If you really think you don't need to install Python, please e-mail me to confirm :)

Python download & installation instructions

1. Go to the Anaconda download page
2. Click on the link to download Python 3.6 for your system
   • Make sure you grab the correct version for your operating system! Ask if you have any questions
3. Install Anaconda
4. Install Python packages

   • Windows:

     • Open the Anaconda Prompt application that installed with Anaconda
     • Enter conda update conda
     • Enter conda install anaconda

   • Mac and Linux:

     • Open the shell/terminal
     • Enter conda update conda
     • Enter conda install anaconda
5. Download the workshop repository from the github repo
   • Click the green button on the right 'Clone or download', then click 'Download ZIP'
6. Using your terminal (Mac/Linux) or the Anaconda Prompt (Windows), cd to wherever you saved the repository (cd is the command for changing directory; so on my system I type cd Desktop/data_science/teaching/IntroPython_PredictiveModeling to get to the directory where I put the workshop folder)
7. Open Jupyter notebook by typing jupyter notebook; this should open a tab in your internet browser.
8. Click on test_notebook.ipynb to open the test notebook
9. Follow the instructions in the notebook. Contact your instructor if there is an error.