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Databases
Overview
Efficient storage and retrieval of longitudinal data are essential for large-scale studies. Whether you choose a traditional relational database like PostgreSQL or an in-memory solution like Redis, the right database can enhance both the speed and scalability of your analysis.
Overview
Interactive notebooks provide a flexible environment where you can combine code, narrative, and visualizations—making them ideal for longitudinal data analysis. Notebooks such as Jupyter Notebooks and JupyterLab are particularly well-suited for exploratory data analysis, reproducible research, and collaborative work.
Overview
Literate programming tools allow you to combine code, analysis, and documentation into a single document. For longitudinal data science, this approach ensures that your workflows are transparent, reproducible, and easy to share.