import pathlib, hvplot.pandas, notebook; from tonyfast.poser import λ
    %reload_ext tonyfast.literacy
    iframe = λ.partial('IPython.display.IFrame', width='100%', height=800)
    pictures = λ[pathlib.Path].methodcaller('glob', '*.jpg').drop(1)[list].sorted(key=lambda x: x.stat().st_ctime).map(str)[list]
    λ['requests_cache.install_cache']('calligrams')
    calligram = "C@𝔏𝔏👁𝓖ⓇⒶ𝔐"

    λ['IPython.display.Image']('https://upload.wikimedia.org/wikipedia/en/thumb/b/b9/MagrittePipe.jpg/300px-MagrittePipe.jpg', width=800)

    iframe("https://en.m.wikipedia.org/wiki/The_Treachery_of_Images")    

# 

### s express meaning through `complex` irreducible `unyt`s of `type` and form.

# Some examples of calligrams

    files = pictures('docfast')
    @λ.partial('ipywidgets.interact')
    def show(id=(1, len(files)-3)): λ['IPython.display.display'](*(λ.partial('IPython.display.Image', width=400)(files[id]) for id in range(id, id+3)))


###### Downloading instagram photos in python `"instaloader"` https://instaloader.github.io/basic-usage.html
    
    # instaloader profile docfast

## "The Treachery of Images" _does not follow the rules_

# [This is not a pipe](https://monoskop.org/images/9/99/Foucault_Michel_This_Is_Not_a_Pipe.pdf) `...`

> #### Foucault provides varying analyses of Magritte's "The Treachery of Images". One chapter is formed on the basis of calligrams.

# 

* # augment[ing] the alphabet.
* ## repeat[ing] something without the aid of rhetoric. 
    ### _`for ever in 'ever':...`_
* ### trap[ping] things into a double cipher.

---
---
* # The  is thus tautological, ...
    * #### It uses the possibility of repeating the same thing in different words, 
        * ##### and profits from the extra richness of language that 
    * ## allows us to say different things with a single word. 
---
* ###### ... As a sign, the letter permits us to fix words; as line, it lets us give shape to things. Thus the calligram aspires playfully to efface the oldest oppositions of our alphabetical civilization: 
    * #### to show and to name; 
        * ### to shape and to say; 
            * ## to reproduce and to articulate; 
                * # to imitate and to signify; 

---
---

#  in practice

 are irredicuble `unyt`s of work `...` independent of medium.

--- 
### _I practice calligraphy in notebooks_
## Scientists practice~~d~~ science in lab notebooks
---

    
    λ['graphviz.Source']("""digraph {
        layout=dot
        node[penwidth=0 fontsize=20]
        edge[style=tapered penwidth=5]
        narrative->program -> {application scripting}
        subgraph cluster_ousterhout {scripting application label="ousterhout's\ndichotomy"}
        subgraph cluster_narrative {narrative program label=document}
        subgraph cluster_types {static dynamic label=types}
        scripting->dynamic
        application->static
        narrative-> human -> dynamic
        program -> computer -> static
        subgraph cluster_literate {human computer label="language"}
        }""")

### There are static and dynamic media

### I'm a modern scientist
## I draw in `notebook`s
# I program in `notebook`s

# Modern `notebook`s
### multi-<i><ins>hyper</ins></i>media literate documents 

## Modern computational `notebook`s represent s.  
> ### 🎗🎗🎗

##### s

* # augment[ing] the alphabet.
* ## repeat[ing] something without the aid of rhetoric.
* ### trap[ping] things into a double cipher.

    
Load a bunch of gist into a dataframe.
    
    gists = λ(1).range().map(λ["https://api.github.com/users/tonyfast/gists?page={}".format]['requests.get'].methodcaller('json').frame())[list]['pandas.concat'](20).set_index('id')
    t = [x for x in gists.columns if x.endswith('_at')]; gists[t] = gists[t].apply(λ['pandas.to_datetime']); del t
    files = gists.files.apply(dict.values).apply(list).apply(pandas.Series).stack().apply(pandas.Series).join(gists)

# Annual documents count.
    
    plot = None; years = files.set_index('created_at').groupby([λ['pandas.Grouper'](freq='Y'), 'language']).filename.count().unstack().fillna(0)
    for i in reversed(years.index):
        if plot is None: plot = years.loc[i].rename('count').hvplot.bar(grid=True, title=str(i.year)).opts(width=300)
        else: plot = plot + years.loc[i].rename('count').hvplot.bar(grid=True, title=str(i.year)).opts(width=300)

    display(files.set_index('created_at').groupby([λ['pandas.Grouper'](freq='M'), 'language']).filename.count().unstack().fillna(0).hvplot.bar(stacked=True, grid=True).opts(width=900), plot.cols(3))

    iframe("https://nbviewer.jupyter.org/github/deathbeds/deathbeds.github.io/tree/master/deathbeds")

# Coding s are experiments in the composition of code and narrative.

## s are a model for type and form
# independent of medium

> ### Programmers, data scientists, any consumer of computers express themselves through text and form.

![](https://user-images.githubusercontent.com/4236275/68415770-fffb5f00-018a-11ea-8bd2-303968171b5f.png)

## practice informs practice
> # Write the code you want to read.
> ###### The medium is the message
> ##### The model is the message