PyData related environment construction

Purpose

The tutorial will be held on Saturday, March 7, 2015 at PyData.Tokyo. We needed to prepare for it. PyData.Tokyo Tutorial & Hackathon #1

It seems to be a tutorial using the following data. Titanic Passenger Data: Titanic: Machine Learning from Disaster

The recommended installation method was to use Anaconda, but I used the installation method using pip because it was a good opportunity.

Installation / environment

environment

I want to install the following

Execution content

Advance preparation

$ sudo apt-get update
$ sudo apt-get install -y build-essential libssl-dev libxml2-dev 
$ sudo apt-get install -y libxslt1-dev libbz2-dev zlib1g-dev 
$ sudo apt-get install -y libjpeg62-dev libreadline-gplv2-dev
$ sudo apt-get install -y python3-dev 

$ wget https://bootstrap.pypa.io/get-pip.py
$ sudo python3 get-pip.py 
$ sudo pip3 install virtualenv

$ mkdir dev
$ cd dev/
$ virtualenv-3.4 pydata

Install what you want

$ sudo apt-get install libblas-dev
$ sudo apt-get install liblas-dev
$ sudo apt-get install liblapack-dev
$ sudo apt-get install gfortran
$ sudo apt-get install libfreetype6-dev

$ ./bin/pip install numpy
$ ./bin/pip install scipy
$ ./bin/pip install pandas
$ ./bin/pip install scikit-learn
$ ./bin/pip install matplotlib
$ ./bin/pip install ipython[notebook]

Referenced documents

Numpy, sciypy, matplotlib, pandas, scikit-learn environment construction and so on by rokujyouhitoma Helped by @ rokujyouhitoma's blog

Finally

--I'm running ipython notebook on Vagrant, but I can't do port forwarding from the host machine, so I'm doing the following. Where should I set it? ??

$ vagrant ssh -- -L 8888:localhost:8888

--This entry was created by Manabu TERADA (@terapyon) and introduced on Blog.

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