Doing data science with F#
Tomas Petricek
tomas@tomasp.net | @tomaspetricek
PhD Student at Cambridge & Coordinator of http...
software stacks

trainings
mac and linux

teaching F#

user groups

snippets

community books and tutorials

F# Software F...
data acquisition

statistics data cleaning machine learning
data transformation

visualization type providers

F# Data Sci...
The Data
Demo: Understanding the world
F# Data type providers
First-class data
CSV, REST, WorldBank…

R Type provider
Statistics & visualization
5000 tested pack...
Analyze

Acquire

Visualize
Demo: Interactive visualizations
F# Charting library
Simple & composable
Interactive style

F# to JS with FunScript
Type-safe JS interop
Type provider supp...
Demo: US debt over the last century
Deedle data frame
Time-series alignment
Data transformations

Vega visualization
F# wrapper for Vega
Pre-alpha version

ww...
F# for Data Science
acquire, analyze, visualize
interactive experience
safety and efficiency of .net
ready for production
...
Going forward
Use #fsharp for fun & profit
Join local user groups
Help us build data science tools
fsharp.org | fslab.org ...
Doing data science with F# (BuildStuff)
Doing data science with F# (BuildStuff)
Doing data science with F# (BuildStuff)
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Doing data science with F# (BuildStuff)

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The ability to take data, understand it, visualize it and extract useful information from it is becoming a hugely important skill. How can you turn all those logs, histories of purchases and trades or open government data, into useful information that help your business make money?



In this talk, we’ll look at doing data science using F#. The F# language is perfectly suited for this task – type providers integrate external data directly into the language – your language suddenly _understands_ CSV, XML, JSON, REST services and other sources. The interactive development style makes it easy to explore data and test your algorithms as you’re writing them. Rich set of libraries for working with data frames, time series and for visualization gives you all the tools you need. And finally – F# easily integrates with statistical environments like R and Matlab, giving you access to the industry standard libraries.

Published in: Technology, Education
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Doing data science with F# (BuildStuff)

  1. 1. Doing data science with F# Tomas Petricek tomas@tomasp.net | @tomaspetricek PhD Student at Cambridge & Coordinator of http://fsharp.org
  2. 2. software stacks trainings mac and linux teaching F# user groups snippets community books and tutorials F# Software Foundation consulting open-source MonoDevelop http://www.fsharp.org contributions research support cross-platform mailing lists
  3. 3. data acquisition statistics data cleaning machine learning data transformation visualization type providers F# Data Science Working Group kaggle vega grammar R provider data sources presentation www.fslab.org time-series visualization data aggregation
  4. 4. The Data
  5. 5. Demo: Understanding the world
  6. 6. F# Data type providers First-class data CSV, REST, WorldBank… R Type provider Statistics & visualization 5000 tested packages www.fslab.org
  7. 7. Analyze Acquire Visualize
  8. 8. Demo: Interactive visualizations
  9. 9. F# Charting library Simple & composable Interactive style F# to JS with FunScript Type-safe JS interop Type provider support www.fslab.org
  10. 10. Demo: US debt over the last century
  11. 11. Deedle data frame Time-series alignment Data transformations Vega visualization F# wrapper for Vega Pre-alpha version www.fslab.org
  12. 12. F# for Data Science acquire, analyze, visualize interactive experience safety and efficiency of .net ready for production @tomaspetricek
  13. 13. Going forward Use #fsharp for fun & profit Join local user groups Help us build data science tools fsharp.org | fslab.org | tomasp.net @tomaspetricek

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