Go for Data Science

Explore the intersection of Go programming and data science in this insightful conference talk from GopherCon 2016. Discover how Go's unique features and capabilities can be leveraged for data analysis, machine learning, and scientific computing tasks. Learn about the advantages of using Go in data-intensive applications, including its performance, concurrency model, and robust standard library. Gain valuable insights into real-world use cases and best practices for implementing data science workflows in Go. Whether you're a seasoned Gopher or a data scientist curious about Go's potential, this 30-minute presentation will provide a comprehensive overview of Go's role in the evolving landscape of data science.

GopherCon 2016: Daniel Whitenack - Go for Data Science