streamlit run app.py st.line_chart(df) st.sidebar.selectbox() your-app.streamlit.app st.metric("Runs", 187)
AthlyticZ In partnership withPosit
Live today · 9:00 ET · Free for July

The final masterclass of our July launch series.

All month we've opened our live masterclasses to everyone, free, as we launched the platform. This is the last one. Watch a plain Python script become a deployed, shareable web app, live, in 75 minutes.

Saiprasad Kagne
Today · Thu 30 July · 9:00 ET / 15:00 CEST
From Script to Screen: Deploying Python Sports Apps with Streamlit
Saiprasad Kagne · Sports Data Scientist, Founder of BallTrack Analyzer, 4+ years in cricket analytics.
PythonStreamlitLive Deployment

What you'll walk out with

  • An interactive Streamlit app built live from a plain Python analysis script
  • A deployed app with a shareable URL, live on the web before the session ends
  • A reusable app template you can adapt for your next project
75 min, live
Real Q&A in the room
Free. No membership needed
Last free session · Starts today

Grab a seat before we go live.

20-second registration. Your join link and calendar invite land instantly.

Today · 9:00 ET Save my free seat Script to Screen with Saiprasad Kagne

Can't make 9:00? Register anyway and we'll send you the replay link when it's up.

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Posit Managed Services Partner
20+ instructors from PyMC, Apache Arrow, Wharton, Columbia & pro sports
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