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SUMMARY:Interacting with APIs in Python: Using the Industry Documents Library
DESCRIPTION:In this workshop\, you’ll learn how to interact with APIs in 
 Python\, focusing on the Industry Documents Library. You’ll explore how 
 to make API requests\, retrieve data\, and work with the responses\, 
 including handling formats like JSON. Additionally\, we'll use AI-generated 
 code to streamline the process and enhance your workflow. By the end of the 
 session\, you'll be comfortable connecting to APIs\, analyzing the data\, 
 and utilizing AI tools to optimize your data retrieval and 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-14212342
URL:https://calendars.library.ucsf.edu/event/14212342
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