This workshop introduces the essential tools for statistical and quantitative analysis in Python. Emphasis is placed on best programming practices and foundational understanding. Participants will learn to:

• Work with fundamental data structures (lists/arrays, matrices, data frames)
• Set and manage a project’s working directory
• Install and use key data-science libraries for manipulation and analysis
• Create and manage virtual environments for dependency control
• Draw inferences from real-world data and present findings to varied audiences

Schedule: 
Optional Tech Clinic (software installation & setup): 8:45 – 10:15 a.m. (1.5 hours)
Core Workshop: 10:30 a.m. – 12:30 p.m.

Preparation:
Bring a laptop with Python 3 and Positron (or another IDE) installed. If you need assistance, attend the optional 8:45–10.15 a.m. tech clinic. 

1. Download Python 3 (3.13 preferred) from python.org or install the Anaconda distribution. 
2. Install Positron (or your preferred IDE).

This workshops is hands-on; arriving with the software already installed will let you dive straight into the material at 10:30 a.m., but the tech clinic is available if you need setup help. Note that new users to both Python and Positron are strongly encouraged to attend both sessions.