Code Monkey home page Code Monkey logo

action-haskell-analysis's Introduction

Action-Haskell-Analysis

This is your AHA! Haskell Moment

This study group will cover several chapters of the Haskell Data Analysis Cookbook during Spring 2015. You'll need a copy of the book (members of the NY Haskell group can access a copy from the files section). The most recent code examples from the book can be found at the author's GitHub Repo https://github.com/BinRoot/Haskell-Data-Analysis-Cookbook.

Spring 2015 Schedule

Please come to each session prepared, with working version of GHC 7.6+ installed and a text editor of choice. Our intention is to have participants go through the selected chapters themselves and work through the code exercises and bring the finished examples to the study group for discussion. That said, you will need to bring your laptop to the study group.

Date/Time Topic Chapters Covered RSVP
3/21/14 Setting up your environment. Monad Tutorial by Brian Hurt RSVP
4/4/14 Read & Write JSON, Working with Haskell data structures 1, 2, 12 RSVP
4/18/14 Number & String manipulations 3, 7, 8
5/2/14 Visualizing data, plug data into JS charts, more JSON data stuff. 11
5/16/14 DEMO DAY! We're going to showcase our projects

#How to use

  1. Clone author's code examples https://github.com/BinRoot/Haskell-Data-Analysis-Cookbook
  2. Copy the scripts into the root of Haskell-Data-Analysis-Cookbook
  3. If you're on GHC 7.8 run the ghc78.sh script and then ./build.sh. If you're on ghc7.6 proceed directly to running the build script.
  4. Now you can run the executables from each code directory. The source code is in Main.hs of each directory, as the author states in his README files.

Involvement

We welcome experienced Haskellers to help TA study groups. Please contact @evx001 or @katychuang to coordinate.

action-haskell-analysis's People

Contributors

evxyz avatar katychuang avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.