Frames—manage multiple datasets simultaneously
Import, export
JDBC, ODBC, SQL
Sort, match, merge, join, append, create
Built-in spreadsheet
Unicode
Process text or binary data
Access data locally or on the web
Collect statistics across groups
BLOBs—strings that can hold entire documents
Billions of observations
Hundreds of thousands of variables
Survival 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 documents
Create Word documents
Create PDF documents
Create Excel files
Customizable tables
Schemes for graphics
Word, HTML, PDF, Excel, SVG, PNG

PyStata — Python and Stata

Highlights
Use Stata from within Python
Stata API functions to run Stata commands and access Stata data and returned results from Python
IPython magic command to use Stata from Jupyter Notebook

Use any Python package within Stata
Matplotlib and seaborn for visualization
Beautiful Soup and Scrapy for web scraping
NumPy and pandas for numerical analysis
TensorFlow and scikit-learn for machine learning
And 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 IDE
the ability to use Stata from Python Shell, like the Windows Command Prompt, the macOS terminal, or the Unix terminal
three IPython magic commands: stata, mata, and pystata; and
a suite of API functions from within Python to run Stata commands and access Stata data and returned results.