![]() ![]() Many of the processes discussed below are language agnostic. I’ll outline multiple methods including a point-and-click method, how to write inline code directly in the notebook, and finally using the command line. This post will cover how to produce other file formats in SAS, Python, and R. There is a multitude of other resources, starting with Hunter’s work, to explore those topics. Jupyter notebooks in SAS, Python, and RThis post will not cover how to use Jupyter notebooks with SAS or other languages. We'll also discuss other use cases in which SAS users may want to create a copy of their work from a notebook, to say a. ![]() Let's explore how the students can transform their navitve notebooks into other, more consumable formats. The notebooks include text, code, images, reports, etc. His focus is on SAS programming and he requires his students to create notebooks to complete assignments however he wants to see the results of their work, not to run their raw code. Hunter is a professor who teaches multiple classes using SAS® OnDemand for Academics, which comes equipped with an integrated Jupyter notebook. This post elaborates on one piece of his material: how to save Jupyter notebooks in other file formats. Both videos appear on the SASUsers YouTube Channel. Also, be sure to check out Hunter's How To Tutorial video on this topic. ![]() One particular paper, Using Jupyter to Boost Your Data Science Workflow, and its accompanying SASGF video by Hunter Glanz caught my eye this week. While I haven’t hit my goal 100%, I sure have learned a lot from all the reading and viewing. For now, I made a pact with myself to read or watch one piece of SASGF related material per day. I am, however, super excited about all of the papers and stream of video releases over the last month (and I encourage you to register for the upcoming live event in June). When SAS had to change this year’s SAS Global Forum (SASGF) to a virtual event, everyone was disappointed. ![]()
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