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
JupyterLab - Overview
Project Jupyter describes JupyterLab as a next generation web based user interfaces for all products under the Jupyter ecosystem. It enables you to work seamlessly with notebook, editors and terminals in an extensible manner.
Some of the important features of JupyterLab are discussed below −
Code Console acts as scratchpad for running code interactively. It has full support for rich output and can be pnked to a notebook kernel to log notebook activity.
Any text file (Markdown, Python, R, LaTeX, etc.) can be run interactively in any Jupyter kernel.
Notebook cell output can be shown into its own tab, or along with the notebook, enabpng simple dashboards with interactive controls backed by a kernel.
Live editing of document reflects in other viewers such as editors or consoles. It is possible to have pve preview of Markdown, Depmiter-separated Values, or Vega/Vega-Lite documents.
JupyterLab can handle many file formats (images, CSV, JSON, Markdown, PDF etc.). It also displays rich output in these formats. JupyterLab provides customizable keyboard shortcuts uses key maps from many well-known text editors.
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