School of Computer Science
Technical Workshop Series: Introduction to Streamlit
Presenter: Safiia Mohammed– PhD Candidate
Date: Monday, November 6th
Time: 12:00 PM – 1:00 PM
Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
LATECOMERS WILL NOT BE ADMITTED once the presentation has begun.
Abstract:
Streamlit is a Python-based open-source app framework is called. It enables us to develop web applications for data science and machine learning quickly. Major Python libraries like scikit-learn, Keras, PyTorch, SymPy (latex), NumPy, pandas, and Matplotlib are all compatible with it. Streamlit does not require callbacks because widgets are viewed as variables. This workshop introduces streamlit and provides essential tutorial for beginners.
Workshop Outline:
PartOne:
- Introduction to Streamlit, applications and features.
- Streamlit Python Tutorials
Prerequisites:
Python
Biography:
PhD student, and research assistant, school of computer science. Research interest: Privacy and security of machine learning, Biometrics, Digital Forensics