Hosted notebooks

Hosted Notebooks are a type of collaborative software application, often used in synthesis of data and development of modeling. Hosted notebooks offer a platform for data scientists and engineers to combine code, text, images, equations, video, and more into a singular file or document.

The software is typically provided by a cloud-hosted vendor which would take care of hardware scalability as work duties evolve. Hosted notebooks are often associated with the Jupyter Notebook, an open-source application for interactive computing that is gaining increasing attention and popularity among data scientists and engineers.

Hosted notebooks are used to quickly and easily combine code and data into an easily sharable and reproducible form. This makes it ideal for collaboration among colleagues. By providing a direct output of the entire development process, hosted notebooks are ideal for data exploration and prototyping.

In addition to collaboration, hosted notebooks are also commonly used to present visualizations or data-driven presentations. By combining and hosting code in the same place, hosted notebooks allow data engineers to create custom ways to present their data in multiple ways. By doing this, companies may gain insight from complex datasets in order to get a better understanding of their customer base or to guide their decision-making.

Hosted notebooks are not only for data engineering or data science. They have become highly popular in the educational context as well. Through programs such as Google Colab, instructors can give their students access to shared, cloud-hosted notebooks for collaborative development and experimentation. In this way, students can easily work hands-on with the latest technology and share their progress with their peers.

Overall, hosted notebooks are a versatile and powerful software platform that can be used by data engineers, software developers, and amateur coders alike. With its collaborative possibilities and customizability, it is no wonder why hosted notebooks are quickly gaining traction and becoming an integral tool in the data science and engineering communities.