How to Use Jupyter Notebooks and Generate HTML Reports with Python Scripts | by Amanda Iglesias Moreno | January, 2025
A step-by-step guide to automating Jupyter Notebook execution and report production using Python
Jupyter Notebooks is a widely used solution for rapid analysis. As an alternative to creating code using scripts, they allow you to edit your code step by step and visualize the results of each code block. However, are powerful and sometimes underestimated tools for creating reports. Jupyter Notebooks allow you to combine code with rich text and interactive visualswhich can be easily exported in various 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 are not interested 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 combined with Python scripts and pipelines. These Jupyter Notebooks are often used to create interactive reports that support analysis performed on documents. For this reason, it is interesting that the use of Notebooks occurs simultaneously in the use of the pipeline, so that as we update, for example, several sets of data, interactive reports are also updated…
