• Feature freeze for Go 1.7 announced
• Binary-only packages now allowed in Go
• Peter Bourgon updates his "Go Best Practices" talk from 2014 to 2016
• Discussion of impostor syndrome and code review by Brad and Andrew
• Upcoming GopherCon presentation on Gopher data science by Daniel Whitenack
• GAFKA: a Go tool suite for managing KAFKA clusters
• ChatOps and microservices with Micro and ChatOps bots
• UNIK: compiling apps into unikernels
• Micro framework as an ecosystem for microservices
• Security benefits of unikernels (reduced attack surface)
• Benefits and limitations of unikernels
• Data science definition and process
• Industry applications and drivers behind data science advancements (commerce, advertising)
• Use cases for data science in business processes and engineering
• Open-source tools and frameworks for data science (R, Python, etc.)
• Future replacements for current data science tools in the Go language
• Shift in community towards accepting multiple languages for data science tasks
• Discussion of various programming languages used in data science, including R, Python, JavaScript, Go, and Java Scala
• Introduction of Pachyderm as an interesting project for big data workflows
• Exploration of Go libraries for data science, such as Gonum and Gota
• Portability of Python libraries to Go for data processing tasks
• Efficiency of writing custom code in Go versus relying on dependencies
• Discussion of the "A little copying is better than a little dependency" mindset in Go development
• Advice on getting started with data science in Go
• Importance of mindset when approaching data science in Go
• Resources for learning data science in Go (Peter's resources, Dave Cheney's)
• Jupyter kernel for Go and interactive data exploration
• Existing projects that demonstrate data science capabilities in Go (InfluxDB, Pachyderm)
• Live demo of data science process using only Go at GopherCon
• Go notebooks and interactivity with Jupyter
• Brief overview of Jupyter and its ecosystem
• Jupyter notebook and Go kernel
• Carlisia's experience setting up Jupyter and using the Go kernel for note-taking and development
• Discussion of Vim Go and Neovim as tools for improving development workflow
• Daniel Whitenack mentions Vim Go and Neovim, and thanks Fatih Arslan for his work on these projects
• Erik St. Martin talks about Nvim and its benefits over regular Vim
• Promoting GopherCon and encouraging listeners to attend and participate in panels with speakers