Go and data, can they ever be friends?
summary
Claims that Go integrates with mainstream data tools and proves it by example: library bindings for TensorFlow and MXNet bindings let models train and serve in Go, pipeline bricks run as Docker containers on pachyderm pipelines over Kubernetes, and numeric work uses Gonum math libraries plus gopherdata notebook support. A small deep‑learning workflow is built end to end, produces usable predictions and plots, and demonstrates practical interop rather than speculation.
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