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Home > Go Time > 4: Go and Data Science with Daniel Whitenack


	Podcast:		Go Time
	Episode:		4: Go and Data Science with Daniel Whitenack
	Category:		Technology
	Duration:		00:57:06
	Publish Date:		2016-06-16 15:58:00
	Description:		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”. 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 Pinto – Twitter, GitHub Brian Ketelsen – Twitter, GitHub Notes and Links 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
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