How to change the Name of your Jupyter Notebook?

In order to change the name of your notebook you can go in menu bar . Click on ‘File’ option and there you can see the option ‘Rename’ click on it type the desired name you want in the popup you would get on clicking it and you can see in address bar to confirm that your jupyter notebook name has been changed .

Now you will got the popup where you could change name change it.

Click on Rename and now you could see the name of notebook being changed to ‘myfirst.ipynb’. ‘ipynb’ is notebook extension of jupyter used to store it as jupyter notebook.

How to run multiple lines of code at once on Jupyter Notebooks?

As in starting of this article you have learn to run a single code cell but you know in jupyter we can run the multiple cells as well. In jupyter notebook there are many ways in which you could run the multiple cells. Go on the menu bar and click on”Run” . You would see the various options to run one cell and even multiple cells like you can see there is an option where you could “Run All Cells”.

1.Select All cells and run them

Click on it and it will run all cells .

As you could see there on clicking ‘Run All Cells ‘ every cell has run and printed their respective output.

2.Select Desired multiple cells and run them:

You can select them as stated above in multiple cells selection method . hold ‘Shift key’ and click on the desired cell and got to ‘Run’ in menu bar and choose ‘Run selected Cells’.

Jupyter Notebook is an open-source web application. It allows to generate and share documents that contain live code, equations, visualized data, and many more features. Nowadays it has become the first choice of many of the data scientists due to it’s immense data visualization and analysis capability. It has various packages which makes it easy to visualize data efficiently.

The Jupyter project has continued to evolve, and it includes a family of tools, such as JupyterLab and JupyterHub, which extend the capabilities of the original Jupyter Notebook. These tools cater to different use cases and make Jupyter an even more powerful platform for interactive computing and data science.