> For the complete documentation index, see [llms.txt](https://docs.autonmis.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.autonmis.com/create-and-manage-your-first-python-notebook/build-a-python-notebook-manually.md).
# Build a Python Notebook Manually
If you opt for the **'Build Manually'** method, follow these steps:
### **Access the Python Notebook Editor**
When the **"Build Manually"** option is selected, you will be directed to the main Python notebook editor. A default Python code block is automatically created, where you can begin writing and executing Python code to generate outputs.
### **Inserting Code and Text Blocks**
As you navigate through the notebook, you can easily add more content using the following options located in the each code block:
* **+ Python**: Inserts a new Python code block.
* **+ Text**: Adds a text block to include notes or explanations.
* **+ SQL**: Allows you to insert SQL code blocks to query data directly within the notebook.
All changes are saved automatically to ensure no progress is lost during your work.
### **Adding Data Sources**
On the left side of the notebook interface, the **Data Sources** panel is available to import databases or files. You can:
* **+ Add Database**: Connect to an external database.
* **+ Add File**: Upload files from your system. These are the accepted extensions: .csv, .xlsx, .json, .parquet
Upon clicking either option, a data source panel will open, following the same process used in [**Step 1**](/create-your-first-connection/step-1-navigate-to-the-connect-tab.md) of **Creating Your First Connection**.
### **Selecting Data for Import**
From the data source panel, you can select a database or file from your previously connected sources. If connecting to a database, select the appropriate table from the dropdown menu.
### **Importing Data to the Notebook**
Once your database or file is selected, click the **"Import to Notebook"** button. This will automatically create a new Python code block on the right side of the editor, populated with the relevant code to load and work with your selected data.
### **Working with Code Blocks**
* Each code block provides options to:
1. **Run the query**
2. **Modify variable names**
3. **Use AI Copilot** for suggestions (pencil icon)
4. **Hide the Code, move up/down, or delete the step**
### **Additional Features**
* At the top of the notebook, you'll find CTAs:
1. **Publish or Share** using the vertical ellipsis menu
2. **Run all code blocks**
3. **Save** the notebook (all changes are saved automatically)
4. **Notebook** tab (default view)
5. **Storybook** tab: Displays the notebook's analysis in narrative form