You can also create a notebook to do this!
```py
import glob
pattern = './**/*.ipynb'
query = 'vdom'
for filepath in glob.iglob(pattern, recursive=True):
with open(filepath) as file:
s = file.read()
if (s.find(query) > -1):
print(filepath)
```
It gets the job done and it's flexible and you're already using it!
On Thursday, May 10, 2018 at 10:40:46 AM UTC-7, Tony Hirst wrote:
>
> Thanks for that. I also started dabbling with a simple lunr.js solution -
> initial notes here:
> https://blog.ouseful.info/2018/05/10/initial-sketch-searching-jupyter-notebooks-using-lunr/
>
> Comments welcome... I need to walk the dog and ponder the actual
> usefulness - or otherwise - of this now. Minimal working demo throws up all
> sorts of issues. COunterpoint of the grep solution is also really useful. A
> third point of comparison would be a sqlite/datasette or
> sqlite/scriptedForm search tool.
>
> --tony
>
> On Wednesday, 9 May 2018 16:42:32 UTC+1, Grant Nestor wrote:
>>
>> A simple solution is to open a terminal in JupyterLab/Jupyter Notebook
>> and run the following:
>>
>> grep --include='*.ipynb' --exclude-dir='.ipynb_checkpoints' -rliw . -e
>> 'search
>> query'
>>
>> This will search your Jupyter server root recursively for files that
>> contain the whole word (case-insensitive) "search query" and only return
>> the file names of matches.
>>
>> More info:
>> https://stackoverflow.com/questions/16956810/how-do-i-find-all-files-containing-specific-text-on-linux
>>
>> On Tuesday, May 8, 2018 at 6:07:02 AM UTC-7, Tony Hirst wrote:
>>>
>>> Hi
>>>
>>> I'm working in an edu context, with notebooks being used to deliver
>>> interactive
>>> teaching materials, and one of the things we know students do is search
>>> over reference/resource materials.
>>>
>>> I was wondering if anyone has looked at simple search solutions for
>>> searching
>>> over jupyter notebooks, eg by dropping them into a lunr.js index using
>>> lunr.py, or adding them to sqlite (in which case, what sort of schema
>>> did you use?).
>>>
>>> In first instance, I was thinking of just indexing the markdown cells
>>> in each notebook, with a reference back to the original filepath. (I
>>> think effective code search may be a whole other issue.) There are also
>>> issues around whether to have views back into a complete notebook, or
>>> link to nbconverted html notebooks vs live running notebooks.
>>>
>>> V first steps in my thinking, just wondered if it's already work in prog
>>> ress somewhere?
>>>
>>>
>>> --tony
>>>
>>
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