- 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
IPython - Installation
IPython is included by default in Anaconda distribution of Python. It can be downloaded from Anaconda’s download page www.anaconda.com/download/ Binaries for all major OS (Windows, MacOS and Linux) and architecture (32 bit and 64 bit) are available on this link.
To install IPython separately in standard Python installation, you can use pip command as shown below −
pip3 install ipython
IPython internally uses following packages −
| Sr.No. | IPython dependencies & Functionality |
|---|---|
| 1 | colorama Cross-platform API for printing colored terminal text from Python |
| 2 | jedi An autocompletion tool for Python |
| 3 | pickleshare Small ‘shelve’ like datastore with concurrency support |
| 4 | prompt_toolkit Library for building powerful interactive command lines in Python |
| 5 | pygments Syntax highlighting package written in Python |
| 6 | simplegeneric Simple generic functions |
| 7 | traitlets Configuration system for Python applications. |
In general, all dependencies get installed automatically. Else, you can install them individually using pip.