Jupyter is an open-source ecosystem for interactive data science. Originally developed around the Python programming language, Jupyter has grown to interface with dozens of programming languages.
stata_kernel is the bridge that interactively connects Stata to all the elements in the ecosystem.
JupyterLab is a web-based interactive editor that allows for interweaving of code, text, and results.
Splice models in LaTeX math mode with the code that implements them and the graphs depicting their output.
Click here to see an example Jupyter Notebook file using stata_kernel.
Jupyter Notebooks can be exported as PDFs or HTML, and are as good for teaching new students as they are for displaying research results.
Jupyter Notebook
Hydrogen is a package for the Atom text editor that connects with Jupyter kernels to display results interactively in your text editor.
The Jupyter console is an enhanced interactive console. Its features include enhanced autocompletion, better searching of history, syntax highlighting, among others. The similar QtConsole even allows displaying plots within the terminal.
Enhanced remote work. You can set up Jupyter to run computations remotely but to show results locally. Since the only data passing over the network are the text inputs and outputs from Stata, communcation happens much faster than loading xstata, especially on slower networks. Being able to use Jupyter Notebook or Hydrogen vastly enhances productivity compared to working with the Stata console through a remote terminal.
stata_kernel Features
[x] Supports Windows, macOS, and Linux.
[x] Use any type of comments in your code, not just *.
[x] Autocompletions as you type based on the variables, macros, scalars, and matrices currently in memory. As of version 1.6.0 it also suggests file paths for autocompletion.
