How to Run Jupyter Notebooks and Generate HTML Reports with Python Scripts

Jupyter Notebooks are a widely used solution for quick analysis. As an alternative to creating code using scripts, they allow you to structure your code step by step and visualize the outputs of each code block. However, they are also powerful and sometimes underestimated tools for creating reports. Jupyter Notebooks allow you to combine code with rich text and interactive visualizations, which can be easily exported in a variety of formats, including HTML. In this way, a non-technical audience, who may not have tools such as integrated development environments installed on their computer and who have no interest in the code used in the analysis, can easily access the results from a browser.

In addition, in many projects, the use of Jupyter Notebooks is combined with Python scripts and pipelines. These Jupyter Notebooks are generally used to create interactive reports that support the analysis executed in the scripts. For this reason, it is interesting that the execution of the Notebooks is simultaneous to the execution of the pipeline, so that as we update, for example, several data sets, the interactive reports are also updated…