Data Science leaders and business stakeholders find it difficult to make key data science content easily discoverable and available for decision-making, and IT Admins and DevOps engineers grapple with how to efficiently support these teams. We’ve heard from our customers how even experienced data scientists familiar with both languages often struggle to combine them without painful context switching and manual translations. While both languages are tremendously powerful, teams frequently struggle to use them together. This will give us a good edit point to end the video (we cut it after you say the thank yous, but before the moderator comes back on.Many Data Science teams today are bilingual, leveraging both R and Python in their work. After you’ve finished that sentence, then hand the webinar back to the moderator for their conclusion.
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