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Notebooks
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
Choosing the right data format is crucial for managing, storing, and analyzing longitudinal data efficiently. Formats like Apache Parquet and Arrow offer significant advantages in terms of performance, scalability, and interoperability.
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.