A step-by-step guide on automating the execution of Jupyter Notebooks and generating HTML reports using Python scripts. The article explains how Jupyter Notebooks can be used for creating interactive reports and how their execution can be synchronized with data pipelines to update reports automatically.
This article explores automating the process of converting scientific code into LaTeX documents using GPT models and Python, aiming to streamline documentation workflows in scientific projects.
