Adding custom packages to Jupyter Lab?
$begingroup$
Is there a way of making custom Python packages generally available within Jupyter lab?
While their documentation suggests to make install-able versions, and going through PIP, this is rather inconvenient for exploratory data science (especially, while I keep extending/developing these packages).
Usually I would point to the location of packages as a PYTHONPATH in .bash_profile (MacOS) – a step that would make them accessible in other contexts (e.g.: Jupyter notebooks) - but does not work with Jupyter lab (on the same machine).
python jupyter pip
edited 15 mins ago
I_Play_With_Data
1,177531
asked Mar 6 '18 at 16:56
tsttsttsttst
1665
$endgroup$
add a comment |
$begingroup$
Is there a way of making custom Python packages generally available within Jupyter lab?
While their documentation suggests to make install-able versions, and going through PIP, this is rather inconvenient for exploratory data science (especially, while I keep extending/developing these packages).
Usually I would point to the location of packages as a PYTHONPATH in .bash_profile (MacOS) – a step that would make them accessible in other contexts (e.g.: Jupyter notebooks) - but does not work with Jupyter lab (on the same machine).
python jupyter pip
edited 15 mins ago
I_Play_With_Data
1,177531
asked Mar 6 '18 at 16:56
tsttsttsttst
1665
$endgroup$
$begingroup$
Import them as.pymight work for a while
$endgroup$
– Aditya
Mar 6 '18 at 17:05
add a comment |
$begingroup$
Is there a way of making custom Python packages generally available within Jupyter lab?
While their documentation suggests to make install-able versions, and going through PIP, this is rather inconvenient for exploratory data science (especially, while I keep extending/developing these packages).
Usually I would point to the location of packages as a PYTHONPATH in .bash_profile (MacOS) – a step that would make them accessible in other contexts (e.g.: Jupyter notebooks) - but does not work with Jupyter lab (on the same machine).
python jupyter pip
edited 15 mins ago
I_Play_With_Data
1,177531
asked Mar 6 '18 at 16:56
tsttsttsttst
1665
$endgroup$
Is there a way of making custom Python packages generally available within Jupyter lab?
While their documentation suggests to make install-able versions, and going through PIP, this is rather inconvenient for exploratory data science (especially, while I keep extending/developing these packages).
Usually I would point to the location of packages as a PYTHONPATH in .bash_profile (MacOS) – a step that would make them accessible in other contexts (e.g.: Jupyter notebooks) - but does not work with Jupyter lab (on the same machine).
python jupyter pip
python jupyter pip
edited 15 mins ago
I_Play_With_Data
1,177531
asked Mar 6 '18 at 16:56
tsttsttsttst
1665
edited 15 mins ago
I_Play_With_Data
1,177531
asked Mar 6 '18 at 16:56
tsttsttsttst
1665
edited 15 mins ago
I_Play_With_Data
1,177531
edited 15 mins ago
I_Play_With_Data
1,177531
edited 15 mins ago
I_Play_With_Data
1,177531
1,177531
asked Mar 6 '18 at 16:56
tsttsttsttst
1665
asked Mar 6 '18 at 16:56
tsttsttsttst
1665
asked Mar 6 '18 at 16:56
tsttsttsttst
1665
1665
$begingroup$
Import them as.pymight work for a while
$endgroup$
– Aditya
Mar 6 '18 at 17:05
add a comment |
$begingroup$
Import them as.pymight work for a while
$endgroup$
– Aditya
Mar 6 '18 at 17:05
$begingroup$
Import them as
.py might work for a while$endgroup$
– Aditya
Mar 6 '18 at 17:05
$begingroup$
Import them as
.py might work for a while$endgroup$
– Aditya
Mar 6 '18 at 17:05
add a comment |
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$begingroup$
Import them as
.pymight work for a while$endgroup$
– Aditya
Mar 6 '18 at 17:05