Therefore, we recommend that before performing the following steps, you exit Pro and restart it in admin mode by doing a right-click -> Run as administrator. In the past, students sometimes had problems with the cloning operation that we were able to solve by running Pro in admin mode. So we first have to create a clone of the default Python environment and make the active environment of ArcGIS. I'd suggest updating to the latest version of ArcGIS Pro (or at least 2.5). Since version 2.3 of ArcGIS Pro, it is not possible to modify the default Python environment anymore (see here for details). Within Pro, you can navigate to the 'Project' menu and then choose 'Python' to access the Python package and environment manager of the ArcGIS Pro installation. Spyder is the easiest IDE to install for Python 3 development as we can install it from ArcGIS Pro. In order to access Python 3, we’ll need to open the conda box, and to do that we will need a command prompt with administrator privileges. We’ll cover the conda environment that ArcGIS Pro uses for Python 3 in more detail in Lesson 2, but for now it might be helpful to think of conda as a box or container that Python 3 and all of its parts sit inside.

Now that we’re all warmed up with some Python revision and a few clues about the changes between Python 2 and 3, we’ll start getting familiar with Python 3 in ArcGIS Pro by exploring how we write code and deploy tools just like we did when we started out in GEOG 485.

Arcmap python