IPyStata Stata + Python + Jupyter Notebook The whole is greater - PowerPoint PPT Presentation

Jul 01, 2023 •1.3k likes •1.5k views

IPyStata Stata + Python + Jupyter Notebook The whole is greater than the sum of its parts. - Aristotle Introduction Workflow with Python and Stata Generate data Web scraping I/O operations and IOT (Internet-of-things) Process

IPyStata Stata + Python + Jupyter Notebook “The whole is greater than the sum of its parts.” - Aristotle
Introduction
Workflow with Python and Stata Generate data • Web scraping • I/O operations and IOT (Internet-of-things) Process data • NLP (Natural language processing) • Ever have the urge to “just do it manually in Excel”?  Use Pandas! Document all your actions in code  replicability Insight from data • Statistical analysis (Stata) + • Visualize results / data (Stata / Python)
+ +
What is the Jupyter Notebook?
Demonstration: Jupyter basics Click here to play
What is IPyStata? A wrapper to execute Stata code in a Jupyter Notebook environment Seamlessly use both Python and Stata Stata do-file / log-file on steroids in one environment  Input + Output in one place  (plots are supported)  Interchangeable data structures  Format / Headers / Comments using Pandas DataFrames  Markdown / Images / Latex equations  Run multiple Stata sessions at the same time from one notebook  Easy sharing of code + results  export ‘static’ version of the notebook  Works well with version control  GitHub renders notebooks!
Click here to play
Click here to play
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Click here to play
Use IPyStata to make offline materials • Jupyter Notebooks can easily be converted into offline HTML documents • These HTML documents can be easily edited for teaching and demonstration purposes  Converting to PDF works well
Jupyter Notebook + Version Control • Officially supported by GitHub Code, results, comments, etc. all under version control! Click here to play
How to start using IPyStata? • Check out my “getting started” guide on the IPyStata GitHub: 1) Install the Anaconda distribution https://git.io/vKrff 2) Install IPyStata • IPyStata GitHub page: 3) Configure IPyStata https://github.com/TiesdeKok/ipystata Questions? Contact me! • Official Jupyter website: - GitHub/TiesdeKok - t.c.j.dekok@uvt.nl http://www.jupyter.org/

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