This is the landing page for our tutorials on performing common Oil & Gas calculations with Python.
You will notice that we use the Pandas library quite often. Hands down it is the go-to for data manipulation in Python. If you want to improve your skills, I recommend this book from Daniel Chen.
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In a continuation of our tutorials in Python, we show how to download fracture stimulation data and use plotting libraries to visualize.
Part 3 in our series on using Python to perform common oil and gas calculations.
In this edition, we walk through developing a Type Curve web application using Plotly Dash in Python.
Oil and gas has been slow to adapt to the digital world. We are here to change that. See our intro tutorial with Python.