BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Springshare//LibCal//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-TIMEZONE:America/Los_Angeles
X-PUBLISHED-TTL:PT15M
BEGIN:VEVENT
DTSTART:20250404T160000Z
DTEND:20250404T180000Z
DTSTAMP:20250404T000000Z
SUMMARY:Intro to Python: Variables\, Lists\, and Control Flow
DESCRIPTION:This workshop is designed to introduce participants to the 
 foundational concepts of Python programming. Attendees will learn how to 
 set up and navigate a Python notebook environment\, creating and executing 
 code in an interactive setting. The session will cover key programming 
 concepts such as defining variables\, working with lists\, and utilizing 
 loops and conditionals to control the flow of a program. By the end of the 
 workshop\, participants will have a solid understanding of Python's basic 
 syntax and structure\, providing a strong foundation for more advanced data 
 analysis tasks.\n\nNote: This workshop will be offered in person at the 
 UCSF FAMRI Library at Mission Bay and online through UCSF Zoom. You will 
 receive an email from LibCal with room information and Zoom link prior to 
 the start of the workshop. \n\n \n\nWorkshop Series: Data and Document 
 Analysis with Python\, SQL\, and AI\n\nThis series is designed for 
 researchers\, staff\, and students who want to learn Python from the ground 
 up\, focusing on data analysis\, document analysis\, and AI-based research. 
 Throughout the workshops\, we’ll dive into various data types—including 
 numerical data\, health data\, text\, and images/videos—and explore 
 analysis techniques like regression\, classification\, and sentiment 
 analysis. We’ll put a particular focus on text analysis\, especially 
 analyzing documents from our industry document library.\n\nAs programming 
 evolves\, so does the way we learn it. While we’ll introduce AI-assisted 
 programming earlier in the series than in past workshop series\, we’ll 
 still start with the basics. The early workshops (Intro to Python Parts 1 & 
 2 and Intro to SQL) will use AI sparingly. As the series moves forward\, 
 we’ll dive into topics like web APIs\, text analysis\, natural language 
 processing\, machine learning\, regression\, document analysis\, and AI 
 system interaction\, with more AI-driven techniques along the way.\n \n\n
LOCATION:Virtual\, Online
ORGANIZER;CN="Geoffrey Boushey":MAILTO:Geoffrey.Boushey@ucsf.edu
CATEGORIES:Data Science, Programming
CONTACT;CN="Geoffrey Boushey":MAILTO:Geoffrey.Boushey@ucsf.edu
STATUS:CONFIRMED
UID:LibCal-14211775
URL:https://calendars.library.ucsf.edu/event/14211775
X-MICROSOFT-CDO-BUSYSTATUS:BUSY
BEGIN:VALARM
TRIGGER:-PT15M
ACTION:DISPLAY
DESCRIPTION:Reminder
END:VALARM
END:VEVENT

END:VCALENDAR