When

February 13, 2023    
4:00 pm - 5:00 pm

Bookings

Bookings closed

Where

School of Computer Science Advanced Computing Hub
300 Ouellette Avenue, Windsor, Ontario, N9B 3P4
Map Unavailable

The School of Computer Science at the University of Windsor is pleased to present…

Technical Workshop Presentation by PhD Student Safiia Mohammed

Introduction to Streamlit

 

Date: Monday, February 13th , 2023

Time:  4 PM – 5 PM

Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)

 

Reminders: 1. Two-part attendance mandatory (sign-in sheet, QR Code)

  1. Arrive at least 5-10 minutes prior to the event starting – LATECOMERS WILL NOT BE ADMITTED. Note that due to demand, if the room has reached capacity, even if you are “early” admission is not guaranteed.
  2. Please be respectful of the presenter by NOT knocking on the door for admittance once the door has been closed whether the presentation has begun or not (If the room is at capacity, overflow is not permitted (ie. sitting on floors) as this is a violation of the Fire Safety code).
  3. Be respectful of the decision of the advisor/host of the event if you are not given admittance. The School of Computer Science has numerous events occurring in the near future.

 

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 call-backs because widgets are viewed as variables. This workshop introduces Streamlit and provides an essential tutorial for beginners.

 

Workshop Outline:

– 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

 

Bookings

This event is fully booked.

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