Why Do I Use Deepnote For Data Science?
Deepnote is a unique Jupiter-like web-based notebook environment that supports multi-user development.
What is Deepnote?
Deepnote is a unique Jupiter-like web-based notebook that helps us with data science projects. It allows multi-user development for data science teams and can publish your work as a link. You can get more information from this link.
Why do I use Deepnote?
Working With the Same Python Environment
Data scientists generally work on more than one computer and with team members. Therefore, the version of the python libraries causes problems. In Deepnote, all project members work same python environment and it has the latest Python libraries. Also, you can access your code from anywhere due to the web-based notebook.
If the library doesn’t exist, you can simply install it yourself.
Easy Team Work With Another
Deepnote has a comment button for every code block. You can communicate with team members by using this property and correct the mistake with ease.
Share Your Code Block Lightly
You can share your code block with a link or iframe format. It helps me to write an article on medium.
Organize Your Projects In Cloud
Deepnote is designed well for documentation. You can folder, file, and then simply organize your projects.
Easily Publish Your Work
In my opinion, the best advantage is publishing the project with a link. Data science projects mostly start with data analysis. In the data analysis part, the data scientist tries to understand the data and present the results to other teammates, the project leader, or people that don’t know data science. Deepnote the publish button makes these processes easy.
