One of the things I like most about IPython Notebook is right there in the name -- it's a great notebook. Often I'll figure out how to do something, be it talk to a certain API, format a graph in a particular way, parse a certain kind of file, and so on, in one of my notebooks.
The problem is this: I have notebooks in lots directories around my machine. Each data collection/analysis project has it's own repository. I've got notebooks that go with presentations, notebooks for blog posts, a general playground direcory.... you get the idea. So, I'll often remember that I solved a particular problem in the past, but not where I solved it.
The second problem is that grep and ack don't work well with
- They're not normal line-oriented text, they're JSON files.
- They don't just have the code; they have your text, but more distractingly, they have the output files, many of which might be SVG or base64 encoded images, large HTML tables, etc.
$ jq '.worksheets.cells | select(.cell_type=="code") | .input' MyFile.ipynb
Great! Now I just need to find all the notebooks. Since I'm on OSX, I know that Spotlight knows where all my .ipynb files are, and I can access that from the CLI with
$ mdfind -onlyin ~/work -name '.ipynb'
Bolting those ideas together, and I have the very useful script nbgrep. So if I want to find the notebook I was playing around with the Twitter API in, it's an
nbgrep twitter away. (Bonus: in the terminal, you even get python syntax highlighting.)
$ nbgrep twitter /Users/jbarratt/work/notebookcookbook/Tweet Relief.ipynb: import twitter auth = twitter.oauth.OAuth(creds['access_token'], twitter_api = twitter.Twitter(auth=auth) search_results = twitter_api.search.tweets(q='#oscon', count search_results = twitter_api.search.tweets(**kwargs)