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sframenumpy's Introduction

Sframe Numpy basic concept

Following files contain exercise and solution for SFrame and Numpy Getting Started with SFrames.ipynb : Exercise program for turi GraphLab machine learning framwork SFrame guide.ipynb : Exercise program 2 for turi GraphLab machine learning framwork numpy-tutorial.ipynb : Numpy exercise

  • The rest file can be disregarded !

installation and usage

Program is written in python 2.7, it one may need anaconda shoulde be installed(including numpy, scipy, pandas, matplotlib, jupyter) ( https://docs.continuum.io/anaconda/install ) or install python 2.7 and then install Numpy, Scipy, Pandas, matplotlib,jupyter manually as follows.

sudo pip install numpy scipy matplotlib After anaconda installed , one may need to jupyter run, by type in command line and hit the enter.

Then install GlaphLab

jupyter notebook

and then upload and select ipynb file in web page.

Meta

Yoonsu Park - http://www.patternics.com Distributed under the MIT license. See LICENSE for more information( https://en.wikipedia.org/wiki/MIT_License ). https://github.com/blockchain99/SframeNumpy

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