#jupyter-notebook

#jupyter-notebook

JupyterLab enhances the Jupyter Notebook experience with a versatile interface for better code sharing and user efficiency.

IPython was first released in 2006 as an interactive version of the Python shell with unique features like object introspection and magic commands.

The split in 2015 led to the renaming of the IPython Notebook to the Jupyter Notebook, with a new name inspired by the languages Julia, Python, and R.

Setting up a proper working environment is essential when using NumPy.

Utilizing Jupyter Notebook is beneficial for documenting and experimenting with code.

Resetting a pandas DataFrame index is essential for maintaining data integrity and avoiding unexpected results.