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Alright, let’s get you going with your first **notebook** in **Azure Databricks**! This is where you get to put your skills to the test and see how Databricks works in action. Creating and running your first notebook is a big milestone. Here's how to create and run your first notebook: First things first, log in to your Azure Databricks workspace. Once you are logged in, navigate to the “Workspace” section. In the Workspace section, you can create a new notebook. Right-click on a folder or an empty space in the workspace, and select “Create” > “Notebook.” Give your notebook a name. Make sure it’s something descriptive. Choose your preferred language. You can select Python, Scala, R, or SQL. Select the language you're most comfortable with. Click “Create.” This will open a new notebook. Now, it's time to write some code! A notebook is organized into cells. Each cell can contain code, text, or other elements. Click on the first cell. This is where you’ll start writing your code. Let's start with a simple “Hello, World!” program. If you selected Python, enter print("Hello, World!"). For Scala, enter println("Hello, World!"). For R, enter print("Hello, World!"). For SQL, select a SQL cell and type SELECT 'Hello, World!' as greeting. After typing the code, run the cell. To run a cell, click on the “Run” button or press Shift+Enter. The output will be displayed below the cell. In the output area, you should see “Hello, World!” or the result of your SQL query. You can experiment with different code snippets. Try running a simple calculation, like 2 + 2, or a more complex operation. To add more code cells, click the “+ Code” button at the top of the notebook. You can also add text cells by clicking the “+ Text” button. Once you’re comfortable, connect your notebook to a cluster. Select your cluster from the dropdown menu at the top of the notebook. Make sure your cluster is running. To share your notebook, click the “Share” button. You can specify the access level for each user. You did it! You’ve created and run your first notebook in Azure Databricks. You've taken your first steps toward data processing, analysis, and visualization. Experiment, try different code snippets, and explore all the features that Databricks has to offer. Now go have fun!
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