script for install sklearn and pandas from source

#执行前先进入root权限

#安装前要看一下python2.7是否已安装
#如何判断是否已安装
#python2.7

echo "start install python2.7"
rm -r  Python-2.7.10
rm -rf /usr/local/lib/python2.7
tar xzvf  Python-2.7.10.tgz 
cd Python-2.7.10
./configure --prefix=/usr/local 
make 
make install 
PATH=/usr/local/bin/:$PATH
cd ..
echo "end install python2.7"
nose

echo "start install nose"
rm -r nose-1.3.7
tar xzvf  nose-1.3.7.tar.gz
cd nose-1.3.7
python2.7 setup.py install 
cd ..
echo "end install nose"

echo "start install lapack"
rm -rf lapack-3.5.0
tar xzvf lapack-3.5.0.tgz 
cd lapack-3.5.0
cp INSTALL/make.inc.gfortran make.inc

##lapack
sed -i '16s/frecursive/fPIC/' make.inc 
sed -i '18s/frecursive/fPIC/' make.inc 
##在OPTS和NOOPT后面加上选项-fPIC 
##OPTS = -O2 -frecursive -fPIC
##NOOPT = -O0 -frecursive -fPIC
cd SRC
make 
cd ../..
echo "end install lapack"

#atlas
echo "start install atlas"
rm -rf ATLAS
tar -xjvf atlas3.10.2.tar.bz2
cd ATLAS
cd ATLAS
##
mkdir atlas_rhel
cd atlas_rhel
../configure -Fa alg -fPIC --with-netlib-lapack-tarfile=../../lapack-3.5.0.tgz
echo "SMAFLAGS = -fno-tree-loop-optimize" >> Make.inc
echo "DMAFLAGS = -fno-tree-loop-optimize" >> Make.inc
make 

cur_dir=$(pwd)
echo $cur_dir/ATLAS/atlas_rhel
export LD_LIBRARY_PATH=$cur_dir/ATLAS/atlas_rhel/lib:$LD_LIBRARY_PATH
cd ../../
echo "end install atlas"

#numpy
echo "start install numpy"
rm -rf numpy-1.9.2
unzip  numpy-1.9.2.zip
cd numpy-1.9.2
cp site.cfg.example site.cfg

echo "[DEFAULT]" >> site.cfg
echo "library_dirs = $cur_dir/lib" >> site.cfg
echo  "include_dirs = $cur_dir/lib" >> site.cfg
echo "[atlas]" >> site.cfg
echo "atlas_libs = lapack, f77blas, cblas, atlas"  >> site.cfg
python2.7 setup.py build
python2.7 setup.py install
cd ..
echo "end install numpy"

#scipy
echo "start install scipy"
rm -rf scipy-0.16.0b2
unzip scipy-0.16.0b2.zip
cd  scipy-0.16.0b2
cp ../numpy-1.9.2/site.cfg .
python2.7 setup.py build
python2.7 setup.py install
cd ..
echo "end install scipy"
#sklearn
echo "start install sklearn"
rm -rf scikit-learn-0.16.1
tar xzvf  scikit-learn-0.16.1.tar.gz
cd scikit-learn-0.16.1
python2.7 setup.py build
python2.7 setup.py install
cd ..
echo "end install sklearn"
exit

echo "start install setuptools"

rm -rf setuptools-18.0.1
tar xzvf setuptools-18.0.1.tar.gz
cd setuptools-18.0.1
python setup.py install
cd ..
echo "end install setuptools"

echo "start install python-dateutil"
rm -rf python-dateutil-1.5
tar xzvf python-dateutil-1.5.tar.gz
cd python-dateutil-1.5
python setup.py install
cd ..
echo "end install python-dateutil"

echo "start install cython"
rm -rf Cython-0.22.1
tar xzvf Cython-0.22.1.tar.gz
cd Cython-0.22.1
python setup.py build
python setup.py install
cd ..
echo "end install cython"

echo "start install pytz"
rm -rf pytz-2015.4
tar xzvf pytz-2015.4.tar.gz
cd pytz-2015.4
python setup.py install
cd ..
echo "end install pytz"

echo "start install pandas"
rm -rf pandas-master
unzip pandas.zip
cd pandas-master
python setup.py build
python setup.py install
cd ..
echo "end install pandas"

这是在red hat上从源码开始安装scikit-learn即其依赖包（lapack，atlas，numpy，scipy）和pandas及其依赖包的脚本，运行前需要把各种包都下载并放到脚本所在目录，根据版本不同可能需要修改程序。
这些包中比较难装的是atlas,编译的时间特别长，最短可能也要1个多小时吧，久了就说不清了。如果atlas安装不上的话，scipy就会安装失败，不过貌似对numpy没有影响