12/27/2022 0 Comments Basemap jupyter notebook online![]() In order to connect to this ArcGIS Online account, it is at the moment needed that we use the existing ArcGIS Pro connection rather than being able to use the Enterprise login. Ĥ) The following step is only needed because of the mentioned workaround to use the ESRI ArcGIS for Python API later in Section 3.10 in combination with the Penn State organizational accounts you created during the orientation week. Since ArcGIS Pro 2.7 is the first version of Pro that is based on Python 3.7 rather than 3.6, you will have to create a Python 3.7 Anaconda environment for this to work, while for all previous versions of Pro (= 2.7)" instead.Ĭreating the Anaconda Python environment (for ArcGIS Pro \Anaconda3\envs\AC36. The workaround requires that we connect our Anaconda Python environment with our ArcGIS Pro installation. Unfortunately we will have to use a little workaround to be able to use that API to access our Penn State enterprise accounts on ArcGIS Online. ![]() ![]() For reference, we also provide the conda commands used to create this environment at the end of this section.Īlso important to note is that one of the packages we will be working with in this lesson is the ESRI ArcGIS for Python API. yml file using conda in the command line interface ("Anaconda Prompt"). We create the new environment by importing this. yml file that lists all the packages we want in the environment with the exact version and build numbers we need. However, there are a lot of dependencies between the packages and it is relatively easy to run into some conflicts that are difficult to resolve. In principle, you could perform all the installations with a number of conda installation commands from the command line. We will use our Anaconda installation from Lesson 2 and create a fresh Python environment within it. We will take care of this task right away so that you then won't have to stop for installations when working through the lesson content. This lesson will require quite a few different Python packages. ![]() Remember to visit Piazza to post/answer any questions or comments pertaining to Lesson 3 Submit your code for the programming assignment and 400 words write-up with reflections ![]() Steps for Completing Lesson 3 Stepīegin with 3.2 Installing the required packages for this lesson You may find it useful to print this page first so that you can follow along with the directions. To finish this lesson, you must complete the activities listed below. Please refer to the Calendar for specific time frames and due dates. In the process, you will get to know quite a few more useful Python packages and 3rd-party APIs including pandas, GDAL/OGR, and the Esri ArcGIS for Python API. We will introduce a few more Python programming concepts and then focus on conducting (spatial) data science projects in Python with the help of Jupyter Notebooks. ![]()
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