> ## Documentation Index > Fetch the complete documentation index at: https://docs.nikaplanet.com/llms.txt > Use this file to discover all available pages before exploring further. # Create a Notebook to Start Analysis > Learn how to create notebooks in NikaWorkspace for data analysis with collaborative features and auto-saving Learn how to create notebooks in NikaWorkspace for data analysis. Notebooks are auto-saved and persisted across sessions, allowing you and your team members to collaborate on the same notebook at any time. ## Step 1: Create a Blank Notebook ### Click the "+" Icon 1. **Navigate to Notebooks**: Click on "Notebooks" in the left sidebar 2. **Click "+" Button**: Click the "+" button in the notebook list 3. **Select "Blank Notebook"**: Choose "Blank Notebook" from the dropdown menu 4. **Notebook Created**: A new blank notebook opens automatically Create Blank Notebook ### Auto-Save Feature * **Everything Auto-Saved**: All changes are automatically saved * **No Manual Saving**: No need to click save buttons * **Cross-Session Persistence**: Notebook persists across browser sessions * **Team Sync**: Changes sync automatically with team members ## Step 2: Rename Your Notebook ### Edit the Title 1. **Click Title Area**: Click on the notebook title at the top left 2. **Type New Name**: Enter a descriptive name for your notebook 3. **Auto-Save**: The new name is automatically saved 4. **Professional Naming**: Use clear, descriptive names like "Data Analysis Project" or "Machine Learning Model" Rename Notebook ### Naming Best Practices * **Descriptive Names**: Use names that describe the content or purpose * **Date Format**: Include dates if relevant (e.g., "Analysis\_2025\_08\_05") * **Project Context**: Include project or client names if applicable * **Version Numbers**: Add version numbers for iterative work ## Step 3: Alternative - Duplicate Existing Notebook ### Right-Click Method 1. **Find Notebook**: Locate the notebook you want to duplicate in the list 2. **Right-Click**: Right-click on the notebook name 3. **Select "Duplicate"**: Choose "Duplicate" from the context menu 4. **New Copy Created**: A copy of the notebook is created with "(Copy)" suffix Duplicate Notebook ### When to Duplicate * **Template Use**: Duplicate notebooks that serve as templates * **Version Control**: Create copies before making major changes * **Team Sharing**: Duplicate shared notebooks via link from another workspace to share notebook with others securely * **Experiment Safely**: Test changes on a copy before modifying original ## Step 4: Add Content as Blocks ### Adding New Blocks #### Method 1: Click "+" Icon 1. **Find "+" Button**: Look for the "+" icon on the left of any row 2. **Click "+"**: Click the "+" button to add a new block 3. **Select Block Type**: Choose from the available block types 4. **Block Added**: New block appears below the current row #### Method 2: Keyboard Shortcut 1. **Press "/"**: Type "/" in any empty row to trigger block selection 2. **Choose Block**: Select the desired block type from the menu 3. **Block Created**: New block is created with the selected type Cool Blocks Available ### Block Toolbar The floating toolbar provides quick access to: * **Code Block**: `< >` icon * **Alert Block**: `▲` icon * **Headings**: H1, H2, H3 options * **Lists**: Numbered, bulleted, and checkbox lists * **Media**: Images, video, audio, and file attachments * **Formatting**: Text blocks, tables, and emojis ### Block Types Available #### Code Block * **Python Code**: Write and execute Python code * **Kernel Integration**: Runs in the selected VM kernel * **Output Display**: Shows results, plots, and errors * **Variable Persistence**: Variables persist across cells #### Alert Block * **Important Information**: Highlight important notes with blue info boxes * **Warning Messages**: Display warnings and cautions * **Info Boxes**: Provide additional information with white 'i' icon * **Customizable**: Choose different alert styles #### Content Blocks * **Headings**: Create section headers (H1, H2, H3) * **Paragraphs**: Add plain text paragraphs * **Lists**: Create bulleted lists (•), numbered lists (1.), and checkboxes (☐) * **Tables**: Create data tables with grid layout #### Media Blocks * **Images**: Insert images or GIFs to your notebook * **Video Clips**: Add video content to your analysis * **Audio**: Include audio files for multimedia notebooks * **File Attachments**: Attach documents and other files ## Key Features ### Auto-Save and Persistence * **Real-time Save**: Changes are saved automatically * **No Manual Save**: No need to click save buttons * **Cross-session**: Notebook persists across browser sessions * **Team Sync**: Changes sync with team members ### Collaborative Features * **Multiple Users**: Multiple team members can work simultaneously * **Live Cursors**: See where others are working * **Change Indicators**: Visual indicators for recent changes * **Auto-sync**: Changes sync automatically across users ### Enhanced Over Jupyter * **Rich Media**: Support for images, videos, and audio * **Interactive Lists**: Checkbox lists and interactive elements * **Alert Blocks**: Highlight important information * **Better UI**: Modern, intuitive interface * **Team Collaboration**: Real-time collaborative editing ## Best Practices ### Notebook Organization * **Clear Structure**: Organize notebooks logically with headings * **Descriptive Names**: Use clear, descriptive names * **Documentation**: Add markdown cells for documentation * **Modular Code**: Break code into logical sections ### Content Creation * **Use Alerts**: Highlight important information with alert blocks * **Rich Media**: Include images and videos to enhance analysis * **Interactive Elements**: Use checkboxes and lists for organization * **Clear Documentation**: Document your analysis process ### Collaboration * **Communication**: Communicate with team members * **Clear Comments**: Add clear comments to your code * **Regular Updates**: Keep notebooks current and updated * **Share Knowledge**: Use notebooks to share knowledge ## Next Steps Now that you've created your notebook: 1. **Add Content**: Start adding code blocks and documentation 2. **Run Code**: Learn about [Running Code in Notebook](/guides/data-analysis/run-code-in-notebook) 3. **Use Libraries**: Explore [Supported Python Libraries](/guides/data-analysis/supported-python-libraries) 4. **Publish**: [Publish Your Notebook](/guides/data-analysis/publish-notebook) to share with others Happy analyzing!