Could it be something with my branches? For example, I have a development 
branch I'm working on, but could "pip install -e ." be pulling from master?

On Wednesday, April 19, 2017 at 3:00:07 PM UTC-7, Adam Rule wrote:
>
> I am attempting to change actions.js and notebook.js so that the three 
> paste items in the Edit menubar call a paste action rather than the paste 
> function directly (issue #2415 
> <https://github.com/jupyter/notebook/issues/2415>). 
>
> I have run "pip install -e ." in the folder containing the forked and 
> cloned code and I do have node and npm installed have been running "npm 
> run build" every time I may changes to the .js or .css codebase.
>
> When I run "which jupyter notebook" in my terminal I get "
> /anaconda/bin/jupyter" when I would have expected it to point to where I 
> have the cloned code (e.g. ~/Code/notebook). Do I have the wrong mental 
> model of where the code is being executed from?
>
> On Wednesday, April 19, 2017 at 1:38:12 PM UTC-7, takowl wrote:
>>
>> Hi Adam,
>>
>> Do you have the necessary Javascript tools set up to rebuild Javascript 
>> and CSS if you're changing those pieces?
>> http://jupyter-notebook.readthedocs.io/en/latest/contributing.html
>>
>> Changes to frontend stuff are also sometimes hidden by the browser cache. 
>> Usually pressing Ctrl-F5 a few times is enough to clear the cache, but if 
>> not, other tricks include trying with a different browser from normal, 
>> opening it in private/incognito mode, or starting the notebook server on a 
>> different port from the default 8888 (e.g. --port 8931).
>>
>> Thomas
>>
>> On 19 April 2017 at 19:56, Adam Rule <[email protected]> wrote:
>>
>>> I'm attempting to Contribute 
>>> <https://github.com/jupyter/notebook/blob/master/CONTRIBUTING.rst> to 
>>> the Notebook and have followed the instructions 
>>> <https://jupyter.readthedocs.io/en/latest/developer-docs/contrib_guide_code.html>
>>>  
>>> for forking, branching, and making changes to the codebase.
>>>
>>> However, when I run `jupyter notebook` in my terminal, it seems to still 
>>> launch my previously installed version of the notebook software, not the 
>>> modified version I've downloaded and am editing. How do I run this modified 
>>> version so I can visually check that my changes are producing the behavior 
>>> I expect?
>>>
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>>

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