Jupyter Tutorial
IPython
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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
IPython - Installation
IPython - Installation
IPython is included by default in Anaconda distribution of Python. It can be downloaded from Anaconda’s download page Binaries for all major OS (Windows, MacOS and Linux) and architecture (32 bit and 64 bit) are available on this pnk.
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 & Functionapty |
|---|---|
| 1 | colorama Cross-platform API for printing colored terminal text from Python |
| 2 | jedi An autocompletion tool for Python |
| 3 | pickleshare Small ‘shelve’ pke datastore with concurrency support |
| 4 | prompt_toolkit Library for building powerful interactive command pnes in Python |
| 5 | pygments Syntax highpghting package written in Python |
| 6 | simplegeneric Simple generic functions |
| 7 | traitlets Configuration system for Python apppcations. |
In general, all dependencies get installed automatically. Else, you can install them inspanidually using pip.
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