The amount of data oil and gas professionals are exposed to is massive. Almost too much at times. Our goal at Shale Insights is to show you how to use that data to get a leg up on your competition and to make you a much more valuable employee to any organization.
Being a coder does not mean writing massive scripts, though it can be if you go that route. Another use is investigating and manipulating data. We will focus on the latter. Think of it as excel on steroids, which can run automatically in the background while you do something else.
Through insights, tutorials, and courses, we will show you how to use common R and Python libraries/methodologies to generate insights and improve your analysis and efficiency, all in the context of an Oil and Gas setting.
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In this tutorial, FracLost walks us through how to build a working log viewer application in Python.
In this tutorial, I use the R coding language to code up a working Well Log Viewer application.
Each week Kenny Lay helps us forget our shale troubles with the weekly rollcall on Twitter. Let’s analyze the special NYE edition with R.