Jupyter notebooks power most of the data science and data programming workflows. They provide an interactive environment for writing and executing code, visualizing data, and documenting the process.
As web scraping goes hand in hand with data programming, Jupyter notebooks are a popular choice for web scraping projects. They allow developers to quickly prototype scraping scripts, visualize the data, and share their findings.
See below for more on Jupyter notebooks in the context web scraping and data programming 👇