StataCorp Stata 17 (Revision 16 May 2023)

Master your data
Stata's data management features give you complete control.
Frames-manage multiple datasets simultaneouslyImport, exportJDBC, ODBC, SQLSort, match, merge, join, append, createBuilt-in spreadsheetUnicodeProcess text or binary dataAccess data locally or on the webCollect statistics across groupsBLOBs-strings that can hold entire documentsBillions of observationsHundreds of thousands of variablesSurvival data, panel data, multilevel data, survey data, discrete choice data, multiple-imputation data, categorical data, time-series data
And much more, to support all your data science needs.
Stata makes it easy to generate publication-quality, distinctly styled graphs.
You can point and click to create a custom graph. Or you can write scripts to produce hundreds or thousands of graphs in a reproducible manner. Export graphs to EPS or TIFF for publication, to PNG or SVG for the web, or to PDF for viewing. With the integrated Graph Editor, you click to change anything about your graph or to add titles, notes, lines, arrows, and text.
Automated reporting
All the tools you need to automate reporting your results.
Dynamic Markdown documentsCreate Word documentsCreate PDF documentsCreate Excel filesCustomizable tablesSchemes for graphicsWord, HTML, PDF, Excel, SVG, PNG
PyStata - Python and Stata
Highlights
Use Stata from within PythonStata API functions to run Stata commands and access Stata data and returned results from PythonIPython magic command to use Stata from Jupyter Notebook
Use any Python package within Stata
MatDescriptionlib and seaborn for visualizationBeautiful Soup and Scrapy for web scrapingNumPy and pandas for numerical analysisTensorFlow and scikit-learn for machine learningAnd much more
PyStata allows you to invoke Stata directly from any standalone Python environment and to call Python directly from Stata, thus, greatly expanding Stata's Python integration features.
New features in PyStata include
the ability to use Stata from any standalone Python environment like Jupyter Notebook, Spyder IDE, PyCharm IDE or Wing IDEthe ability to use Stata from Python Shell, like the Windows Command Prompt, the macOS terminal, or the Unix terminalthree IPython magic commands: stata, mata, and pystata; anda suite of API functions from within Python to run Stata commands and access Stata data and returned results.
These tools, together with the Stata Function Interface (sfi) module, allow users to easily integrate Stata's vast statistical and data management methods into any data science project using Python.