Jupyter Tutorial
IPython
Jupyter
QtConsole
JupyterLab
Jupyter Resources
Selected Reading
IPython
- IPython - Magic Commands
- IPython - Embedding IPython
- Importing Python Shell Code
- Setting IPython as Default Python Environment
- IPython - IO Caching
- Dynamic Object Introspection
- IPython - Command Line Options
- IPython - System Commands
- IPython - History Command
- Running & Editing Python Script
- IPython - Getting Started
- IPython - Installation
- IPython - Introduction
Jupyter
- Jupyter Notebook - IPyWidgets
- Converting Notebooks
- Jupyter Notebook - Plotting
- Cell Magic Functions
- Jupyter Notebook - Markdown Cells
- Jupyter Notebook - Editing
- Jupyter Notebook - Types of Cells
- Jupyter Notebook - User Interface
- Jupyter Notebook - Dashboard
- Installation and Getting Started
- Working With Jupyter Online
- Jupyter Notebook - Introduction
- Project Jupyter - Overview
QtConsole
- Using github and nbviewer
- Connecting to Jupyter Notebook
- QtConsole - Multiple Consoles
- QtConsole - Save to Html
- QtConsole - Inline Graphics
- QtConsole - Multiline Editing
- QtConsole - Getting Started
JupyterLab
- JupyterLab - Installing R Kernel
- JupyterLab - Interface
- Installation & Getting Started
- JupyterLab - Overview
Jupyter Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Jupyter Notebook - Dashboard
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.
Advertisements