Python, R, Julia, DuckDB, Spark, Git… interactive knowledge bases for their use within the CASD bubble

Since the beginning of the year, CASD has provided interactive knowledge bases, accessible via a link within the secure bubble. The objective is to centralize all best practices regarding the tools and data available within the secure environments.

A wide range of topics is covered: data science tools (Python, R, Julia), the installation of their integrated packages, the use of Git and collaborative tools, data storage, and Spark for processing large volumes of data, among others.

These knowledge bases are constantly evolving and will address new themes based on user feedback and questions, as well as the CASD teams’ ongoing technological monitoring.