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| Duration: | 1 hour |
|---|---|
| Where: | Join us from anywhere! |
| Cost: | Free—but registrations are limited |
This webinar will introduce a new addition to Stata’s Python integration: calling Stata from Python. You will learn how to use Stata from any IPython kernel-related environment, such as Jupyter Notebook, Spyder IDE, or PyCharm IDE; and from any shell that can access Python, such as the Windows Command Prompt, the macOS terminal, or the Unix terminal. This webinar will cover setting up Stata from within Python, loading Python data frames into Stata, running Stata commands, and using Stata’s returned results in Python. These will be demonstrated using IPython magic commands and the PyStata API functions.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email prior to the start with instructions on how to access the webinar.
Meghan Cain is a Senior Statistician at StataCorp. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she develops and presents training on these and other topics. She also conducts webinars, works with developers to produce Stata documentation, and contributes to Stata blogs.
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