03 Project Parameters
In this continuation of our RMSP workflow series, we dive into the project parameters file to see how it streamlines your Python code in Jupyter Lab. Learn how to set global parameters, define dynamic variables for easy updating, and initialize domains and variables (like our gold variable) from a single location. By keeping these settings in one central file, you'll ensure your models and 3D visualizations remain perfectly consistent throughout your entire workflow. Chapters 00:00 Intro 00:10 Exploring Project Parameters 01:21 Setting Global Parameters 02:10 Defining Workflow Variables 03:16 Enabling Dynamic Updates 04:42 Loading Domains 07:33 Ensuring Workflow Consistency

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05 Best Practices

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04 Load Data and Flag

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01 Introduction

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05 Merge Data

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04 Directional Variography

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