AdminLeon Katsnelson
(Director & CTO, IBM Analytics Emerging Technology, Cognitive Class Labs)
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37 results found
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6 votes
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An error occurred while saving the comment -
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Instructions for using ibmdbpy in Jupyter notebooks can be found here: http://support.datascientistworkbench.com/knowledgebase/articles/860571-access-dashdb-or-db2-using-ibmdbpy-from-python-n
There is also a sample notebook on the welcome screen.An error occurred while saving the comment AdminLeon Katsnelson (Director & CTO, IBM Analytics Emerging Technology, Cognitive Class Labs) commented
IPython/Jupiter notebooks already done. You can now use ibmdbpy library in Python notebooks. Similar feature coming for Python programmers who love Zeppelin soon.
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1 vote
An error occurred while saving the comment AdminLeon Katsnelson (Director & CTO, IBM Analytics Emerging Technology, Cognitive Class Labs) commented
We think Data Science community could use open source without enduring the pain and hardship of putting the environment together. That is what DataScientistWorkbench.com does. You would expect open source tools to be free and so do we. So, it is free now and free forever.
We host the open source tools and provide some storage and compute and a whole lot of education (at http://BigDataUniversity.com) free of charge. We intend to offer this free FOREVER! This is not a time-bombed trial.
We do anticipate that they will be people who may need more storage or compute than what we can afford to provide for free. So, we have to create a higher tier plan to recover some costs but our desire is to avoid that. We would rather you connect to Big Data systems like Spark and Hadoop clusters - either your own or IBM services.
So, we like to tell people that DSWB is "Google free". As in you get gmail for free but if you exceed 15GB you got to pay a few $s for the extra space. -
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An error occurred while saving the comment AdminLeon Katsnelson (Director & CTO, IBM Analytics Emerging Technology, Cognitive Class Labs) commented
Hm,, can you elaborate a bit on what you would recommend we do?
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Here are the instructions on how to bring an IPython/Jupiter notebook from GitHub in to your Data Scientist Workbench. http://support.datascientistworkbench.com/knowledgebase/articles/835506