The best way to do this is by either running Python in the terminal or a Jupyter notebook.

For data scientists, Python integration with Jupyter Notebooks now enables users to create and share documents that contain live code, equations, visualizations and explanatory text.

Jupyter Notebook is not a full-blown development environment for Python. Many of the features you would expect to find in an IDE—e.g., interactive debugging, code completion, and module ...