![]() ![]() zip file containing the .yml file from this link: AC37_FA22_final.zip , then extract the file. Creating the Anaconda Python environmentġ) Download the. You will already see this approach further down below and it will then be explained further in Section 3.10. Also important to note is that one of the packages we will be working with in this lesson is the ESRI ArcGIS for Python API, which will require a special approach to authenticate with your PSU login. For reference, we also provide the conda commands used to create this environment at the end of this section. 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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