VS Code Jupyter
I can help you with Jupyter Notebook and Python. code, visualizations, and narrative text.
To get started with Jupyter Notebook and Python, you’ll need to have Python installed on your system. If you haven’t already installed Python, you can from the official website: https://www.python.org/downloads/
Once you have Python installed, follow these steps to work with Jupyter Notebook:
Step 1: Install Jupyter Notebook
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pip install jupyter
Step 2: Launch Jupyter Notebook After running the following command in your terminal:
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jupyter notebook
This will start the Jupyter Notebook server, and you should see a new tab open in your web browser showing the Jupyter Notebook interface.
Step 3: Create a new Python Notebook In the Jupyter Notebook interface, click on the “New” button in the top right corner and select “Python 3” under “Notebooks” to create a new Python notebook.
Step 4: Interact with the Notebook You’ll be taken to a new page where you can see an empty cell. This cell is where you can write and execute Python code. You can type Python code directly into the cell and press Shift + Enter to execute it. The output will be displayed below the cell.
To create additional cells, you can use the “+” button on the toolbar or use keyboard shortcuts (e.g., press “B” to insert a new cell below the current one).
Step 5: Save and Quit Remember to by pressing “Ctrl + S” (or “Cmd + S” on macOS). When you’re done, you can close the Jupyter Notebook server by closing the web browser tab and stopping the Jupyter process in the terminal using “Ctrl + C.”
That’s it! write, run, and experiment with Python code in an interactive environment. It’s a fantastic tool for data analysis, visualization, machine learn
Python Training Demo Day 1
Conclusion:
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