- Jupyter Tutorial
- Jupyter - Home
- IPython
- IPython - Introduction
- IPython - Installation
- IPython - Getting Started
- Running & Editing Python Script
- IPython - History Command
- IPython - System Commands
- IPython - Command Line Options
- Dynamic Object Introspection
- IPython - IO Caching
- Setting IPython as Default Python Environment
- Importing Python Shell Code
- IPython - Embedding IPython
- IPython - Magic Commands
- Jupyter
- Project Jupyter - Overview
- Jupyter Notebook - Introduction
- Working With Jupyter Online
- Installation and Getting Started
- Jupyter Notebook - Dashboard
- Jupyter Notebook - User Interface
- Jupyter Notebook - Types of Cells
- Jupyter Notebook - Editing
- Jupyter Notebook - Markdown Cells
- Cell Magic Functions
- Jupyter Notebook - Plotting
- Converting Notebooks
- Jupyter Notebook - IPyWidgets
- QtConsole
- QtConsole - Getting Started
- QtConsole - Multiline Editing
- QtConsole - Inline Graphics
- QtConsole - Save to Html
- QtConsole - Multiple Consoles
- Connecting to Jupyter Notebook
- Using github and nbviewer
- JupyterLab
- JupyterLab - Overview
- Installation & Getting Started
- JupyterLab - Interface
- JupyterLab - Installing R Kernel
- Jupyter Resources
- Jupyter - Quick Guide
- Jupyter - Useful Resources
- Jupyter - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Jupyter Notebook - Dashboard
The dashboard of Jupyter Notebook contains three tabs as shown in the screenshot given below −
Files Tab
The "Files" tab displays files and folders under current directory from which notebook app was invoked. The row corresponding to a notebook which is currently open and the running status is shown just beside the last modified column. It also displays Upload button using which a file can be uploaded to notebook server.
Running Tab
The "Running" tab shows which of the notebooks are currently running.
Cluster Tab
The third tab, "Clusters", is provided by IPython parallel. IPython's parallel computing framework, an extended version of the IPython kernel.
From the New dropdown choose Terminal to open a cmd window. You can now start an IPython terminal here.
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