Enterprise Data Science Won’t Go Far without Open Source Python Programming

IndustryTrends

The biggest barrier to successful enterprise adoption of data science is insufficient investment in programming tooling to enable the production of good models.

Open source tools offer a lower barrier to entry than licensed software. Companies can experiment more efficiently and with fewer constraints.

Some of the most popular and Python-built open sources are TensorFlow, SciKit-Learn, or PyTorch.

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