#!/usr/bin/env python
# coding: utf-8

# In[271]:


import pathlib, hvplot.pandas, notebook; from tonyfast.poser import λ
get_ipython().run_line_magic('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"


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


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


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# {{calligram}}

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


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# Some examples of calligrams

{{iframe('https://en.m.wikipedia.org/wiki/Calligram#Gallery')}}


# ## My practices in abstract calligrams.

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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


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## "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.

# {{calligram}}

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


# In[263]:


---
---
* # The {{calligram}} 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[265]:


---
---

# {{calligram}} in practice

{{calligram}} are irredicuble `unyt`s of work `...` independent of medium.

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


# In[267]:


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"}
    }""")


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### There are static and dynamic media

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


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

## Modern computational `notebook`s represent {{calligram}}s.  
> ### 🎗🎗🎗

##### {{calligram}}s

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


# In[216]:


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)


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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))


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


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


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

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

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


# In[290]:


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