Tomas Petricek introduces F#’s capabilities in dealing with scientific data: type providers -CSV, XML, JSON, REST-, interactive development, data visualization libraries, integration with R or MathLab.
Mitchel Sellers uses multiple real-world applications to show practical implementations of Async within actual applications, covering various scenarios and implementations of the Async pattern.
Phil Trelford demoes accessing a variety of data sources via F# Type Providers.
Felienne Hermans introduces BumbleBee, a refactoring and metaprogramming spreadsheets tool based on a DSL that can perform transformations against spreadsheet formulas.
Matthew Moloney discusses using F# and .NET inside Excel, demonstrating doing big data, cloud computing, using GPGPU and compiling F# Excel UDFs.
Luke Hoban introduces TypeScript and its implications for writing web applications and creating supporting tooling.
Mike Falanga shows several C# and F# solutions to common programming problems, comparing how well each language enhances the ability to draw accurate conclusions about the code.
Dominique Louis covers the history of MonoGame from its roots in XNA and how the team ported it to 8 platforms. He demoes taking a simple 3D XNA sample from Windows to Android and Windows Phone 8.
Phil Trelford describes and demonstrates areas where F# excels, such as domain modeling, computation and concurrency.
Colin Gravill talks about how using F# to construct a shared analysis engine and the languages used to make the individual tools.
Matthew Moloney shares some of the F# tools built at Microsoft Research for dealing with Big Data.
Donna Malayeri speaks on information rich programming with F# 3.0’s type providers and query expressions, explaining how type providers work under the hood.