I am hoping that you will take this opportunity to check out some of these solutionsĪnd see if they fit into your analysis process. Each of these solutions addresses differentĪspects of the problem in different ways. I suspect that users will likely combine several When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Probably one of the most underestimated IDEs for Data Science. Local and remote notebooks Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. It does not look pretty nice, but it was specifically developed for the field.
Currently, in January 2020 it is updated to Version 4 and has Kite integrated. Of these together - depending on the problem they are trying to solve. I am hopeful that we can findĪ solution that leverages some of the interactive intuitive aspects of Excel plus the power and I predict we will continue to see evolution in this space. Guido van Rossum joining Microsoft, maybe we will see some more activity in this space? Transparency associated with using Python and pandas for data manipulation. I don’t know where we will ultimately land but I am excited to see what the communityĭevelops. If I have missed anything or if you have thoughts, let me know in the comments.
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