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.
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.
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.
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.
Amanda Laucher and Paul Snively debate solving problems through types and tests using different approaches.
Tomas Petricek demoes server-side and client-side asynchronous programming with non-blocking code and without inversion of control in F#.
Phil Trelford suggests domains, such as modeling, DSLs, concurrency, for which functional programming is well-suited, and areas for which an OO or a mixed approach has better results.