Overview

Python is a versatile programming language widely used in data science, and it offers extensive support for working with longitudinal data. Whether you’re dealing with time series data, repeated measures, or tracking changes over time, Python’s rich ecosystem provides tools and libraries designed to help you manage and analyze longitudinal datasets.

R Resources

R Resources text

Overview

Julia is a high-performance programming language designed for numerical and scientific computing, making it particularly well-suited for tasks involving longitudinal data analysis. Julia’s speed and ease of use make it an excellent choice for large-scale data processing and modeling.