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”.

Join the discussion

Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!

Sponsors:

Linode – Our cloud server of choice. Get one of the fastest, most efficient SSD cloud servers for only $5/mo. Use the code changelog2017 to get 4 months free!
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform.

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
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? PRs welcome!

Go and Data Science 57:06 Share

Go Time: Golang, Software Engineering

Shownotes Transcript

PodQuest PodQuest Podcast Discovery Engine

Go and Data Science