Easy to maintain modularity and write clean and efficient code
Use Cases and Deployment Scope
It is used mostly by our Python and R programmers for programming. It is very interactive and easy to manage the programs and present them. Coding in it is very easy and we can also easily debug. We can do many things--change the cell types, use shortcuts, and if stuck somewhere restart the kernel.
Pros
- Interactive
- Efficient
- Quick
Cons
- More languages support
- Enhanced GPU support
- Multi-environment support
Likelihood to Recommend
If you want to develop a project in Python or R then Jupyter Notebook is the perfect idle that you should use. It is easy to maintain modularity and write clean and efficient code. We can also use it for connecting to various databases like MongoDB from our Python script.
