Hi.
Usually I start with the notebook.
If I feel a part is pretty stable, I put it in a file and import it.
If it needs changing, sometimes I %load the file, sometimes change it in
the editor.
If you %load stuff into the notebook, you don't have to worry about
which version you imported.
That only works well as long as it is not too much code, obv.
Hth,
Andy
On 04/10/2013 09:10 PM, Anders Aagaard wrote:
Hi
My normal workflow has been sitting in intellij and rerunning the
entire project every time I make a change to my data. This is
obviously not terribly efficient, but I quite like working in intellij.
I see a lot of people using pynotebook, and I've been trying to use it
myself. It's really nice for small stuff, but I find it awkward to use
for bigger things. Like for example I setup a FeatureUnion, and I got
5-6 BaseEstimators that I hand build. If I were to put the whole thing
in pynotebook I end up with a very large file. And working with it
outside of pynotebook, then swapping in to reload and try the data
seems a bit suboptimal as well.
What kind of workflow does everyone use? Both when exploring data, and
when building features/models etc.
Best regards
Anders
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analytics on semi-structured data. The platform includes APIs for building
apps and a phenomenal toolset for data science. Developers can use
our toolset for easy data analysis & visualization. Get a free account!
http://www2.precog.com/precogplatform/slashdotnewsletter
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