This year, 51% of all surveyed Python developers are involved in data exploration and processing, with pandas and NumPy being the tools most commonly used for this.Many of us in the Python pundit space have talked about Python as being divided into thirds: One-third web development, one-third data science and pure science, and one-third as a catch-all bin.
We need to rethink that positioning now that one of those thirds is overwhelmingly the most significant portion of Python.