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hey folks if youamp;#39;ve been watching recent episodes of code Club you know that I am in the midst of a series of episodes where I am trying to build out a project a workflow where I can every day update the data that I pull down from the NOAA website NOAA is a US agency that keeps track of global climate data and what I want to do is build a daily update of a visual that shows the amount of drought or lack of drought across the world so again we get daily updates I want to run this every day without having to touch anything letting GitHub actions do the work for me cool well in recent episodes weamp;#39;ve talked about using snake make conda git project organization all the good stuff for reproducibility to download data from NOAA now we are ready to read those data into our our session one of the problems with our data though is that it comes to us as a set of 122 000 or so files that are are compressed in a tar archive thatamp;#39;s about 3.3 gigabytes here I am in my drought
