In the realm of data science, having the right Integrated Development Environment (IDE) is crucial for efficient programming, data analysis, and model development. These IDEs provide a variety of features and functionalities tailored to the needs of data scientists, allowing them to write code, visualize data, and iterate on models with ease. Jupyter Notebook is a robust IDE built exclusively for Python development, with several features specialized to data science workflows. With built-in support for scientific libraries such as Num