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 – Website, GitHub, X
• Erik St. Martin – GitHub, X
• Carlisia Thompson – GitHub, LinkedIn, X
• Brian Ketelsen – GitHub, X

Show Notes:

• AlphaGo - a computer program developed by Google DeepMind to play the board game Go
• Big Data Uncovered: What Does A Data Scientist Really Do?
• Uber Argos - Identifying outages with data science
• Apache Spark
• Hadoop
• InfluxDB
• Pachyderm version controls all your data
• My laptop is faster than hadoop
• Golang libraries for data science
• BoltDB - An embedded key/value database for Go
• Gonum
• Gota - DataFrames and data wrangling in Go

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!