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Jupyter Notebook is a powerful tool for interactive computing and data analysis. By default, it supports multiple programming languages, including Python. In this tutorial, we will explore how to use Python 3 in Jupyter Notebook, along with some code examples.
If you haven't installed Jupyter Notebook and Python 3, you can do so using the following commands:
Make sure you have Python 3 installed. If not, you can download it from python.org.
Once installed, you can start Jupyter Notebook by running the following command in your terminal or command prompt:
This will open a new tab in your web browser, showing the Jupyter Notebook dashboard.
This will create a new Python 3 notebook with an empty cell.
Now, you can start writing and running Python code in the notebook. Type your code in the cell and press Shift + Enter to execute it.
Here's an example:
After running the cell, you should see the output below the cell.
Jupyter Notebooks consist of cells, which can be of different types (code, markdown, etc.). You can add new cells, delete cells, and modify cell types. Here are some useful keyboard shortcuts:
Make sure to regularly save your Jupyter Notebook by clicking the "Save" button or using the Ctrl + S (Windows/Linux) or Cmd + S (Mac) keyboard shortcut. You can also export your notebook to various formats like HTML, PDF, or slides.
Congratulations! You have successfully set up and used Python 3 in Jupyter Notebook. This powerful combination allows you to perform data analysis, machine learning, and various other tasks interactively.
Feel free to explore more features and functionalities offered by Jupyter Notebook to enhance your coding and analysis experience.
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