[IPython-User] Refactoring in ipynb
Sat Jul 14 13:44:29 CDT 2012
Thanks for the suggestions. Sorry if I wasn't clear in my OP - my
question is more along the lines of how to refactor safely without
restarting the kernel. Both the methods below would require that.
> The fact that the ipynb saves all your variables in memory is great,
> but it makes refactoring a little more tricky since you have to
> remember to delete your old function/variable names.
Here's where I think I should clarify - I mean deleting the
function/variable names *from the kernel's memory.* Even if you delete
the names from the notebook, they'll still exist in the kernel. Hence if
you miss renaming a function call in the notebook somewhere, it'll still
use the old function resident in the kernel's memory - even though the
old function never appears in the notebook. That can make bugs tricky to
track down unless you restart the kernel.
On 7/14/2012 10:46 AM, Aaron Meurer wrote:
> If the variable name is a fairly unique one, you could do a find and
> replace in the JSON itself using a text editor. I think there might
> also be a way to export the notebook to a .py file and reimport it, in
> which case you can use any Python refactoring tool under the sun
> (others will have to say how to do this or correct me if I'm wrong here).
> Aaron Meurer
> On Jul 14, 2012, at 10:55 AM, "email@example.com
> <mailto:firstname.lastname@example.org>" <email@example.com
> <mailto:firstname.lastname@example.org>> wrote:
>> The fact that the ipynb saves all your variables in memory is great,
>> but it makes refactoring a little more tricky since you have to
>> remember to delete your old function/variable names. Otherwise, if
>> you miss changing a name somewhere it can lead to hard to fix bugs
>> since the old variable/function still exists but is invisible to the
>> How do people deal with this other than being extremely careful when
>> refactoring? I've taken to restarting the kernel after I make
>> extensive changes to make sure I haven't forgotten to delete any
>> variables, but I assume some of the more experienced users have
>> better methods. I'd definitely be interested in suggestions.
>> Cheers, Gavin
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>> IPython-User@scipy.org <mailto:IPython-User@scipy.org>
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