ChiPy __Main__ Meeting
When: Nov. 9, 2023, 6 p.m.
Where: Tegus (by AlphaSense)
Attendance:
In Person Pythonistas: 31
Topics
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Snowpark ML Toolkit and dbt Python Models
By: Felipe Hoffa, Developer Advocate
Experience Level: Intermediate
Length: 45 Minutes
Description:In this session we will perform a full exploration of the Snowpark ML Toolkit using dbt Python models on the dbt Cloud without any package installation. You will learn how Snowflake improves on familiar ML libraries like Scikit-Learn and XGBoost to make them scale within its scalable runtime.
During this session you will:
- Start with 50,000 rows and scale to 50 million rows on various data transformations with the toolkit
- Train and predict a dbt Python model with XGBoost
- Switch between SQL and Python transformations in a pipeline where dbt takes care of the boilerplate code when pushing to Snowflake
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Paywalls, Beautiful Soup, and reading what was sent to you
By: Phil Robare
Experience Level: Advanced
Length: 10 Minutes
Description:The paywall at Wired.com, TheAtlantic.com and other websites implement a paywall with javascript. The source page that is sent has the entire article. This talk is about the use of the BeautifulSoup package (which manipulates HTML documents) to read what the web site sends.