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”.

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, WebsiteErik St. Martin – Twitter, GitHubCarlisia Thompson – Twitter, GitHub, LinkedInBrian Ketelsen – Twitter, GitHub

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!

Twitter Mentions