<jupyter_start><jupyter_text>Notebook 2A:  Exploring through the most useful and important features within a Jupyter notebook ***_This will be an incomplete and biased run-through of the important features and functions in a jupyter notebook_Incomplete, because no one notebook (or set) could cover all of the available features and abilities of the Jupyter project***     1. Cell Types    1. Markdown    2. Code    3. Heading    4. Raw NBConvert    2. Editing modes    1.command    2.edit    3. Imports and output    4. Magic and Help   >We love stories.  The ability to provide information and **context** to accompany _data_ and `code` means that, in addtion to providing comments for the function and behavior of the `code` you can return the results of each stage of your computation, as well as allowing a more gerenal discussion of motivations and possible findings When unsure you can always import &128060; &128060;Not that I am encouraging even a light dusting of emoji, but a great number of options are available to communicate:https://www.w3schools.com/charsets/ref_emoji.asp Further resources:- https://daringfireball.net/projects/markdown/- https://www.w3schools.com/ Why this matters? *** The first thing we may need to look at is the types of information that we want to provide to the reader  (99% of the time, that will be you).  ***Over time these might be:    - Overall aims and research goals    - Specific tasks to be achived here    - Descriptions of data     - Libraires and code   But markdown can also shorten this processby using '$' before and after your text$F(k) = \ {\sum}_0^{\infty}(x) e^{2\pi}y$<jupyter_code>#a list of the available cell and line 'magics'

%lsmagic
%%html
</br>
<p><a hrel="external" href="https://www.ons.gov.uk/peoplepopulationandcommunity/\
healthandsocialcare/healthandlifeexpectancies/bulletins/adultsmokinghabitsingreatbritain/2018"
> source data on smoking rates from gov.uk</a></p>
</br>
<iframe height="574px" width="100%" src="https://www.ons.gov.uk/visualisations/dvc643/multimap/index.html"></iframe><jupyter_output><empty_output><jupyter_text>Conclusion:  Jupyter notebooks are an environment in which you can learn (and recall), explain and explore. Code, data, and context  Please try: - creating and renaming a new notebook for yourself - making a copy of an exisitng notebook - Search for an example of an interactive notebook from your area of research -<jupyter_code>%%html
</br>
<p><a hrel="external" href="http://users.ox.ac.uk/~anat0144/SCN_Meta_App.html"
> bokeh example</a></p>
</br>
<iframe height="574px" width="100%" src="http://users.ox.ac.uk/~anat0144/SCN_Meta_App.html"></iframe><jupyter_output><empty_output>
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