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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- 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 GoBig Data Uncovered: What Does A Data Scientist Really Do?Uber Argos - Identifying outages with data scienceApache SparkHadoopInfluxDBPachyderm version controls all your dataMy laptop is faster than hadoopGolang libraries for data scienceBoltDB - An embedded key/value database for GoGonumGota - DataFrames and data wrangling in GoInteresting Go Projects and News
1.7 freezePeter Bourgon one year of Go’s best practice articleDave Chenney’s blogGafka - Tons of Go tools for managing a Kafka clusterChatOps - When communication mattersThe Micro Bot - ChatOps for microservicesUnik (pronounced Unique) - can compile Go, Java, C/C++ apps into unikernelsFree Software Friday
Brian - ngrok and Gophers slack #gopherjs channelErik - neovimCarlisia - Jupyter Notebook and Daniel’s Go kernel for Jupyter, Gopher NotesDaniel - vim-goSomething missing or broken? PRs welcome!