Chapter 11: Using Streamlit for Teams

Throughout the past two chapters, we have deeply explored how to use Streamlit for things such as personal data projects, projects for resume building, and even for creating apps for take-home job applications. In this chapter, we will focus on using Streamlit at your place of work, as a data scientist, machine learning engineer, or data analyst. We already know that Streamlit can be used as a convincing tool to influence those around us through thoughtful and interactive analyses, and we will work on applying that to the work data scientists actually do. 

Streamlit is both a company and an open source library and makes revenue by being such an excellent tool in a data science toolkit that companies are convinced to pay for special features and customizations that increase the productivity of their own data scientists. The best part about this is that the company is directly incentivized to make the experience of using the tool as useful...