SQL and Python have emerged as the most popular languages in data science due to their ease of use, flexibility, and rich ecosystems. However, they often work in isolation, leading to fragmentation and friction for users who want to leverage both languages in a single workflow. Hex introduces Dataframe SQL, which allows seamless integration between SQL and Python within the same project, enabling users to combine their strengths and create more efficient data analysis processes. This new feature breaks down the barriers between these two languages, allowing users to transition between them as needed while maintaining all the benefits of each language.