step04-install-python-basic.md

Installation of Python basic packages [back]

(1) Install Python-Development packages:

$ sudo apt-get install python-dev

(2) Install Python-install package (PIP):

$ sudo apt-get install python-pip

(2.1) And update pip (over pip):

$ sudo pip install pip -U

(3) Install & Udate: numpy, scipy, skimage, sklearn, pandas and...: (3.1) Numpy:

$ sudo pip install numpy -U

... Check numpy installation:

$ python -c "import numpy as np; print np.random.randn(3,3)"

[[ 0.56115455  1.59895343 -0.06355176]
 [-2.95932009 -1.43360241  0.12427383]
 [-0.99861901 -0.20883317  0.46108597]]

... [Ok]

(3.2) Scipy (requre ATLAS, OpenBLAS or Intel MKL):

$ sudo apt-get install gfortran
$ sudo apt-get install libopenblas-dev liblapack-dev
$ sudo apt-get install python-scipy
$ sudo pip install scipy -U

(3.3) skimage:

$ sudo apt-get install python-skimage
$ sudo pip install scikit-image -U

... Check skimage installation:

$ python -c "from skimage import io; print io.imread('/home/ubuntu/img/doge2.jpg').shape"

(225, 225, 3)

... [Ok]

(3.4) sklearn:

$ sudo apt-get install python-sklearn
$ sudo pip install sklearn -U

(3.5) pandas:

$ sudo apt-get install python-pandas
$ sudo pip install pandas -U

... Check pandas installation:

(3.5.1) prepare small dataset (Iris Dataset):

$ mkdir -p ~/deep-learning/data
$ wget https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data -O ~/deep-learning/data/iris-data.csv
$ python -c "import pandas as pd ; print pd.read_csv('/home/ubuntu/deep-learning/data/iris-data.csv')[:4]"

   5.1  3.5  1.4  0.2  Iris-setosa
0  4.9  3.0  1.4  0.2  Iris-setosa
1  4.7  3.2  1.3  0.2  Iris-setosa
2  4.6  3.1  1.5  0.2  Iris-setosa
3  5.0  3.6  1.4  0.2  Iris-setosa

... [Ok]

(3.6) ipython, notebook (Jupiter platform):

$ sudo apt-get install ipython ipython-notebook
$ sudo pip install ipython -U
$ sudo pip install notebook -U