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Go and Data Science (Go Time #4)

Podcast |: Changelog Master Feed
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Business,; Entrepreneurship,; Interview,; Master Feeds,; Software How-To,; Tech News,; Technology,; Web Development
Categories Via RSS |: Software How-To,; Tech News,; Technology
Publication Date |: Jun 16, 2016
Episode Duration |: 00:57:06

Description
Content Encoded

In this super informative show with Daniel Whitenack we discuss Go and data science. We talk about what data science really is, tools and projects for getting started with data science using Go, and what to expect from Daniel’s talk at GopherCon this year titled “Go for Data Science”.

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Featuring:

Daniel Whitenack – Twitter, GitHub, Website
Erik St. Martin – Twitter, GitHub
Carlisia Thompson – Twitter, GitHub, LinkedIn
Brian Ketelsen – Twitter, GitHub

Show Notes:

Interesting Go Projects and News

1.7 freeze
Peter Bourgon one year of Go’s best practice article
Dave Chenney’s blog
Gafka - Tons of Go tools for managing a Kafka cluster
ChatOps - When communication matters
micro-bot.html">The Micro Bot - ChatOps for microservices
Unik (pronounced Unique) - can compile Go, Java, C/C++ apps into unikernels

Free Software Friday

Brian - ngrok and Gophers slack #gopherjs channel
Erik - neovim
Carlisia - Jupyter Notebook and Daniel’s Go kernel for Jupyter, Gopher Notes
Daniel - vim-go

Something missing or broken? time-4.md">PRs welcome!

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