Introduction¶

Complete guide for installation and to run Jupyter Python Notebook in Windows/Linux/MacOS for Python version 2 and 3. How to write and run your First Python program in Jupyter?

The notebook extends the console-based approach to interactive computing ina qualitatively new direction, providing a web-based application suitable forcapturing the whole computation process: developing, documenting, andexecuting code, as well as communicating the results. The IPython notebookcombines two components:

A web application: a browser-based tool for interactive authoring ofdocuments which combine explanatory text, mathematics, computations and theirrich media output.

Notebook documents: a representation of all content visible in the webapplication, including inputs and outputs of the computations, explanatorytext, mathematics, images, and rich media representations of objects.

Scala, Python, R, Markdown, and SQL. While paragraphs in a notebook can be run in any order, the natural linearity of a notebook is a natural fit for.
A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company.
This tutorial will show you how to set up Jupyter Notebook on Ubuntu 18.04.
Jupyter notebook recognizes markdown and renders markdown code as HTML.

See also

Ipython Notebook Markdown Cheat Sheet

See the installation documentation for directionson how to install the notebook and its dependencies.

Main features of the web application¶

In-browser editing for code, with automatic syntax highlighting,indentation, and tab completion/introspection.
The ability to execute code from the browser, with the results ofcomputations attached to the code which generated them.
Displaying the result of computation using rich media representations, suchas HTML, LaTeX, PNG, SVG, etc. For example, publication-quality figuresrendered by the matplotlib library, can be included inline.
In-browser editing for rich text using the Markdown markup language, whichcan provide commentary for the code, is not limited to plain text.
The ability to easily include mathematical notation within markdown cellsusing LaTeX, and rendered natively by MathJax.

Notebook documents¶

Notebook documents contains the inputs and outputs of a interactive session aswell as additional text that accompanies the code but is not meant forexecution. In this way, notebook files can serve as a complete computationalrecord of a session, interleaving executable code with explanatory text,mathematics, and rich representations of resulting objects. These documentsare internally JSON files and are saved with the .ipynb extension. SinceJSON is a plain text format, they can be version-controlled and shared withcolleagues.

Notebooks may be exported to a range of static formats, including HTML (forexample, for blog posts), reStructuredText, LaTeX, PDF, and slide shows, viathe new nbconvert command.

Furthermore, any .ipynb notebook document available from a publicURL can be shared via the IPython Notebook Viewer (nbviewer).This service loads the notebook document from the URL and renders it as astatic web page. The results may thus be shared with a colleague, or as apublic blog post, without other users needing to install IPython themselves.In effect, nbviewer is simply nbconvert as a web service,so you can do your own static conversions with nbconvert, without relying onnbviewer.

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Markdown is a simple text-to-HTML markup language written in plain text. Jupyter notebook recognizes markdown and renders markdown code as HTML. In this section, we present the basic features of markdown.

See Markdown (by John Gruber) and GitHub Markdown Help for more information.

Text

Output	Syntax
emphasis	`emphasis`
strong	`strong`
`code`	`code`

Headings

Output	Syntax
`# Heading 1`
Heading 2	`## Heading 2`
Heading 3	`### Heading 3`
Heading 4	`#### Heading 4`
Heading 5	`##### Heading 5`
Heading 6	`###### Heading 6`

Lists

Create an ordered list using numbers:

Number theory
Algebra
Partial differential equations
Probability

Create an unordered list using an asterisk * for each item:

Number theory
Algebra
Partial differential equations
Probability

Use indentation to create nested lists:

Mathematics
- Calculus
- Linear Algebra
- Probability
Physics
- Classical Mechanics
- Relativity
- Thermodynamics
Biology
- Diffusion and Osmosis
- Homeostasis
- Immunology

Links

Create a link with the syntax [description](url). For example:

creates the link UBC Math.

Images

Include an image using the syntax ![description](url). For example:

displays the image

Tables

Create a table by separating entries by pipe characters |:

Python Operator	Description
`+`	addition
`-`	subtraction
`*`	multiplication
`/`	division
`**`	power

The syntax :---: specifies the alignment (centered in this case) of the columns. See more about GitHub flavoured markdown.

Exercises

Python Notebook Markdown Bold

Create a numbered list of the top 5 websites you visit most often and include a link for each site.
Write a short biography of your favourite mathematician, provide a link to their Wikipedia page and include an image (with a link and description of the source).
Create a table of all the courses that you have taken in university. Include the columns: course number, course title, year (that you took the class), and instructor name.