Easy to implement Python code and machine learning models.it helps a lot for data visualizations.

I like the remarkable versatility with which I can run and test my code directly in the The Jupyter Notebook environment even when working with remote servers; The Jupyter Notebook not only has the ability to visualize and organize my scripts and output in a browser page, but also allows me to work in multiple formats such as Markdown or even SQL saving me time and reducing potential errors in the final analysis.

It has the most easy and understanable UI. A beginner would find easy to use all the tools, how to make paths for the files and to make projects. Also the code runs in cells making it easier to debug and to remove any error or issue in the program as soon as it gets detected. It provide the feature to decorate your texts in code like comments or a simple line by changing the size, boldness and font of the text. It supports various languages like Python, R, Ruby, etc which also makes it to have better cross language support in the program. Use of data visualisation modules like Matplotlip and Seaborn is quite efficient on this platform. I use this often to make my python projects and ML projects.