Hi community,
This is the link for my work submission for GSoC. Suggestions are welcomed.
[0] https://github.com/bustios/zeppelin-notebooks
Regards,
Paul
Hi Alexander,
I created the JIRA issue
https://issues.apache.org/jira/browse/ZEPPELIN-1255 and
submited the PR https://github.com/apache/zeppelin/pull/1249 to fix it.
Also, I updated the notebook at [1] with this feature.
[1]
Hi Paul,
it definitely looks like a bug and the right fix to me!
Could you please create a JIRA issue and submit a PR with the fix?
I think it is a very valuable contribution, thank you!
--
Alex
On Fri, Jul 29, 2016 at 3:45 PM, Paul Bustios Belizario
wrote:
> Hi Alex,
>
>
Hi Alexander,
Yes, I'm using the latest version of the code in master branch and I have
installed pandas and pandasql.
By the way, I made searches in the repository. Below, the 2 screens of the
search results for:
PythonPandasSQL*Interpreter*
Hi Paul,
this sounds very strange indeed.
Please make sure you are using latest master and to get correct
interpreters classnames - it should be enough to delete
/conf/interpreter-settings.json and restart Zeppelin - it will be
re-created.
Regarding dependencies for to run %python.sql (it's
Hi Alexander,
Yes. I knew that, but for some reason, that I'm still investigating,
z.show() doesn't display the dataframe in my notebook. That's why I decided
to not incorporate z.show() yet. As soon as I find the problem I will add
it.
Regarding to pandasql, there is an error creating the
Thanks for sharing your progress Paul, the notebook looks great!
By the way, did you know that in latest Apache Zeppelin instead of
```
print(titanic.head())
```
one can use
```
z.show(titanic)
```
?
It would be a good opportunity to showcase this [1] and other features of
the Python
Thanks Moon,
Here is my third notebook using the Titanic dataset:
https://www.zeppelinhub.com/viewer/notebooks/bm90ZTovL2J1c3Rpb3MvbG9jYWwvYmI0Y2EwNjVkMTI1NDY2Y2EzNTIzNThiZjViYzIxOWQvbm90ZS5qc29u
Now, I'm working on the fourth notebook and updating my first notebook to
use z.show()
Regards,
Hi Paul,
That would be very interesting!
And like you mentioned, it's dataset that for starters. I think it's super
reasonable to have a notebooks with those data.
Thanks,
moon
On Sat, Jul 9, 2016 at 11:09 AM Paul Bustios Belizario
wrote:
> Hi community,
>
> I was
Hi community,
I was searching some databases and chose [1,2] for the next notebooks.
These databases are not big, but are classic and educational for people who
are starting the path of data science. Additionally, through the process of
machine learning, these databases can provide many graphics.
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