Specifically with libraries like pandas , SciPy , and statsmodels .

Instead, I can offer you a helpful, informative article that addresses the legitimate ways to access Stata, including free or low-cost options for students, researchers, and others who need the software but cannot afford a full commercial license. This approach provides real value to readers while respecting intellectual property laws.

For users who prefer a graphical user interface (GUI) similar to Stata’s menus, these free tools offer a user-friendly experience built on top of R.

By adopting free and open-source alternatives to STATA, researchers and data analysts can promote greater accessibility, affordability, and inclusivity in statistical analysis and modeling.