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Data science experiments in no time
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Daniel Blazquez profile photo
November 05, 2018

Data science experiments in no time

Score 10 out of 101
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Overall Satisfaction with Anaconda

As part of an overall strategic assessment, we decided to test the possibilities of several data lakes by conducting a collection of data science experiments. Anaconda was instrumental to get the data science experiments up and running in record time, including testing different data analysis packages, generation of notebooks, and the sharing of the results to a larger team.
  • Integration of the most popular and useful Python packages
  • Managing multiple execution environments
  • Management of package dependencies
  • Easier migration to cloud sharing
  • Extremely quick turnaround time to set up data science experiments
  • Reduction of troubleshooting time when deploying new packages and dependencies
  • Low risk environment due to the community edition
Anaconda shines if you need to set up a data analysis or data science lab in no time. Newcomers to Python or Jupiter can be up and running in minutes and playing with the most popular packages. I think the Anaconda Cloud package could benefit from some UX improvements to clarify the migration process. Integration with external data sources could be improved as well.