Creating a notebook - ( Basic Jupyter )

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Syntax

To create a new Jupyter notebook, follow these steps:

1. Open the Jupyter interface in your web browser
2. Click on the "New" button in the top right corner
3. Select "Python 3" (or any other kernel of your choice) from the dropdown menu
4. A new notebook will be created with an empty cell

Example

Here's an example of creating a new Jupyter notebook:

1. Open the Jupyter interface in your web browser by going to http://localhost:8888/tree (or any other URL specified by your Jupyter installation)
2. Click on the "New" button in the top right corner
3. Select "Python 3" from the dropdown menu
4. A new notebook will be created with an empty cell

Output

A new Jupyter notebook is created with an empty cell, ready for you to start coding.

Explanation

Jupyter notebooks are a popular way of writing and executing code interactively, while also incorporating text, images, and visualizations. To create a new Jupyter notebook, we need to open the Jupyter interface in our web browser and follow a few simple steps to create a new notebook.

Use

Jupyter notebooks are widely used in data science and machine learning for modeling, exploration, and visualization tasks. They are a great way to collaborate with others by sharing code, visualizations, and insights.

Important Points

• Jupyter notebooks are a popular way of writing and executing code interactively
• To create a new Jupyter notebook, open the Jupyter interface, click on "New", and select the kernel of your choice
• Jupyter notebooks can incorporate text, images, and visualizations along with code
• Jupyter notebooks are widely used in data science and machine learning for exploration and visualization tasks

Summary

In conclusion, creating a new Jupyter notebook is a simple process that involves a few clicks in the Jupyter interface. Jupyter notebooks are a versatile tool for data science and machine learning tasks that allow us to write and execute code interactively while also incorporating text, images, and visualizations. Jupyter notebooks are widely used in industry and academia for exploration, modeling, and visualization tasks.