tonyfast 2019.9.25.22.41

No project description provided

%reload_ext tonyfast

from tonyfast import jschema; import pandas, requests

df = jschema.Dict(
    (x.name, F"""{x.url.replace(
        'https://gist.github.com/tonyfast/', 'https://api.github.com/gists/'
    )}""") for x in "".git().submodules).series().apply(jschema.Uri.json).apply(pandas.Series)
df[[x for x in df.columns if x.endswith('_at')]] = df[[x for x in df.columns if x.endswith('_at')]].apply(pandas.to_datetime)
df = df.loc[df.updated_at.sort_values(ascending=False).index]

series.

url             https://api.github.com/gists/646e4f4f216286c6a...
forks_url       https://api.github.com/gists/646e4f4f216286c6a...
commits_url     https://api.github.com/gists/646e4f4f216286c6a...
id                               646e4f4f216286c6aa0a17fadba2c505
node_id         MDQ6R2lzdDY0NmU0ZjRmMjE2Mjg2YzZhYTBhMTdmYWRiYT...
git_pull_url    https://gist.github.com/646e4f4f216286c6aa0a17...
git_push_url    https://gist.github.com/646e4f4f216286c6aa0a17...
html_url        https://gist.github.com/646e4f4f216286c6aa0a17...
files           {'QR.ipynb': {'filename': 'QR.ipynb', 'type': ...
public                                                       True
created_at                              2019-09-12 02:10:16+00:00
updated_at                              2019-09-20 13:15:49+00:00
description                                                      
comments                                                        1
user                                                         None
comments_url    https://api.github.com/gists/646e4f4f216286c6a...
owner           {'login': 'tonyfast', 'id': 4236275, 'node_id'...
forks                                                          []
history         [{'user': {'login': 'tonyfast', 'id': 4236275,...
truncated                                                   False
Name: tonyfast/qr, dtype: object

export = nbformat.v4.new_notebook(cells=[])
for path, series in df.iterrows(): 
    export['cells'].append(nbformat.NotebookNode(F"""## {}

    * > {series.description}

    """.json()['cells'][0]))
    for file, row in jschema.List(
        series.files.values()
    ).pipe(pandas.DataFrame).pipe(lambda df: df[df.language=="Jupyter Notebook"]).set_index('filename').iterrows():

        export['cells'][-1].source = ''.join(export['cells'][-1].source)

__import__('IPython').display.Markdown(nbconvert.get_exporter('markdown')(exclude_input=True).from_notebook_node(export)[0])

Automatically generate interactive widgets for functions.