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Jupyter Notebooks provide an interactive environment for writing and running code, making it an excellent tool for data analysis, machine learning, and scientific research. In this tutorial, we will guide you through the process of running Python code in Jupyter Notebooks.
If you haven't installed Jupyter yet, you can do so using the following command in your terminal or command prompt:
Once Jupyter is installed, you can start the Jupyter Notebook server by running the following command in your terminal or command prompt:
This will open a new tab in your web browser with the Jupyter Notebook dashboard.
On the Jupyter Notebook dashboard, click on the "New" button and select "Python 3" to create a new Python notebook.
Now, you're ready to write and run Python code in your notebook. Each cell in a Jupyter Notebook can contain either code or text. To create a new code cell, click the "+" button on the toolbar or press "B" on your keyboard while in command mode.
Let's write a simple Python code example. In a code cell, type the following:
To run the code cell, press "Shift + Enter" or click the "Run" button on the toolbar.
You can add, delete, and move cells as needed. To delete a cell, select it and press "D" twice. To add a new cell above the current cell, press "A" in command mode. To add a new cell below the current cell, press "B" in command mode.
Remember to save your work regularly by clicking the floppy disk icon on the toolbar or pressing "Ctrl + S."
After you've finished your work, go back to the terminal or command prompt and press "Ctrl + C" to stop the Jupyter Notebook server.
Congratulations! You've successfully run Python code in a Jupyter Notebook. This interactive environment provides a powerful and flexible way to develop and document your code. Feel free to explore additional features and capabilities offered by Jupyter Notebooks to enhance your coding experience.
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