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Simplicity Over Complexity for Greater Accessibility
When teaching non-computational scientists, using tools that simplify processes, such as RStudio with integrated package management, can enhance accessibility and learning. Python's environments, especially dealing with package management and kernels, may create friction that hinders understanding and engagement. Streamlining workflows and minimizing terminal reliance can make programming more approachable for experts in other fields. Recognizing and addressing these barriers enhances usability and allows for broader adoption of data science tools across various disciplines.