Linux搭建python Linux搭建python环境详解
阳光温暖了心情 人气:0一、下载文件
python官网:https://www.python.org/downloads/
版本:python-2.7.3 下载地址:https://m.qb5200.com/www.qb5200.com/softs/2293.html
setuptools官网:http://pypi.python.org/pypi/setuptools
版本:setuptools-0.6c11
pip官网:http://pypi.python.org/pypi/pip
版本:pip-1.5.6.tar.gz
pymongo官网:http://pypi.python.org/pypi/pymongo
版本:pymongo-2.7.2.tar.gz
xlrd官网:http://pypi.python.org/pypi/xlrd
版本:xlrd-0.9.3.tar.gz
xlwt官网:http://pypi.python.org/pypi/xlwt
版本:xlwt-0.7.5.tar.gz
xlutils官网:http://pypi.python.org/pypi/xlutils
版本:xlutils-1.7.1.tar.gz
cx_Oracle官网:http://pypi.python.org/pypi/cx_Oracle/5.1.3
版本:cx_Oracle-5.1.3.tar.gz
二、安装Python2.7.3
1、查看系统自带的python版本
[root@vm4 webapps]# python -V
Python 2.6.6
2、解压安装python
[root@vm4 logs]#cd /usr [root@vm4 usr]# mkdir -p python [root@vm4 usr]# cd python/
将下载的文件Python-2.7.3.tgz上传至python文件夹内
[root@vm4 python]#tar -zvxf Python-2.7.3.tgz [root@vm4 python]# cd Python-2.7.3 [root@vm4 Python-2.7.3]# ./configure --prefix=/usr/local/python2.7.3 [root@vm4 Python-2.7.3]# make [root@vm4 Python-2.7.3]# make install
3、安装成功后目录
[root@vm4 Python-2.7.3]# ll /usr/local/python2.7.3/
总计 16
drwxr-xr-x 2 root root 4096 03-21 10:12 bin drwxr-xr-x 3 root root 4096 03-21 10:07 include drwxr-xr-x 4 root root 4096 03-21 10:07 lib drwxr-xr-x 3 root root 4096 03-21 10:07 share
4、建立软件链接
[root@vm4 Python-2.7.3]# ln -s /usr/local/Python-2.7.3/bin/python /usr/bin/python2.7.3 [root@vm4 Python-2.7.3]# python2.7.3 Python 2.7.3 (default, Mar 21 2013, 10:06:48) [GCC 4.1.2 20080704 (Red Hat 4.1.2-50)] on linux2
注意:
如果执行操作[root@vm4 Python-2.7.3]#ln -s /usr/python/Python-2.7.3/bin/python /usr/bin/python
修改老版本的ln指向后,可能会影响yum的使用,yum兼容Python2.6版本。
操作到这里,python就安装成功了.
三、安装python-devel
[root@vm4 python]# yum install python-devel
Installed:
python-devel.x86_64 0:2.6.6-52.el6
Dependency Updated:
python.x86_64 0:2.6.6-52.el6 python-
libs.x86_64 0:2.6.6-52.el6
Complete!
注意:由于python-devel问题,建议python使用默认的版本2.6.6。上面只是介绍如何安装python。
四、安装setuptools
注意:安装成功python之后,才能安装setuptools
1、将下载的文件上传setuptools-0.6c11.tar.gz至python文件夹内
2、解压安装setuptools-0.6c11
[root@vm4 python]# tar -zxvf setuptools-0.6c11.tar.gz [root@vm4 setuptools-0.6c11]# cd setuptools-0.6c11 [root@vm4 setuptools-0.6c11]# Python-2.7.3 setup.py install
返回如下表示安装成功:
Installed /usr/python/Python-2.7.3/lib/python2.7/site-packages/setuptools-0.6c11-py2.7.egg
Processing dependencies for setuptools==0.6c11
Finished processing dependencies for setuptools==0.6c11
3、建立软链接
[root@vm4 setuptools-0.6c11]#ln -s /usr/python/Python-2.7.3/bin/easy_install /usr/bin/easy_install-2.7.3
4、测试
[root@vm4 setuptools-0.6c11]#easy_install2.7.3 numpy
五、安装pip
1、将下载的文件上传pip-1.5.6.tar.gz至python文件夹内
2、解压安装pip-1.5.6
[root@vm4 python]#tar -zxvf pip-1.5.6 [root@vm4 python]# cd pip-1.5.6 [root@vm4 pip-1.5.6]# Python-2.7.3 setup.py install
返回如下表示安装成功:
Installed /usr/python/Python-2.7.3/lib/python2.7/site-packages/pip-1.5.6-py2.7.egg
Processing dependencies for pip==1.5.6
Finished processing dependencies for pip==1.5.6
3、建立软链接
[root@vm4 pip-1.5.6]#ln -s /usr/python/Python-2.7.3/bin/pip /usr/bin/pip-2.7.3
4、测试
[root@vm4 pip-1.5.6]#pip-2.7.3 install nose
五、安装pymongo
python操作mongo时,需要安装此插件
第一种方法:
[root@vm4 python]# pip-2.7.3 install pymongo
第二种方法:
1、下载文件pymongo-2.7.2.tar.gz并上传至python
2、解压安装
[root@vm4 python]#tar -zxvf pymongo-2.7.2.tar.gz [root@vm4 python]# cd pymongo-2.7.2 [root@vm4 pymongo-2.7.2]# Python-2.7.3 setup.py install
返回如下表示安装成功:
Installed /usr/python/Python-2.7.3/lib/python2.7/site-packages/pymongo-2.7.2-py2.7-linux- x86_64.egg
Processing dependencies for pymongo==2.7.2
Finished processing dependencies for pymongo==2.7.2
六、安装xlrd、xlwt、xlutils
xlrd:是python从excel读数据的第三方控件;
xlwt:是python从excel写数据的第三方控件;
xlutils:是python使用xlrd、xlwt的工具箱。若安装不成功,可能原因是需要安装setuptools。
第一种方法:
[root@vm4 python]# pip-2.7.3 install xlrd [root@vm4 python]# pip-2.7.3 install xlwt [root@vm4 python]# pip-2.7.3 install xlutils
第二种方法:
1、下载文件xlrd-0.9.3.tar.gz,xlwt-0.7.5.tar.gz,xlutils-1.7.1.tar.gz并上传至python
2、解压安装xlrd
[root@vm4 python]# tar -zxvf xlrd-0.9.3.tar.gz [root@vm4 python]# cd xlrd-0.9.3 [root@vm4 xlrd-0.9.3]# Python-2.7.3 setup.py install
3、解压安装xlwt
[root@vm4 python]# tar -zxvf xlwt-0.7.5.tar.gz [root@vm4 python]# cd xlwt-0.7.5 [root@vm4 xlwt-0.7.5]# Python-2.7.3 setup.py install
4、解压安装xlutils
[root@vm4 python]# tar -zxvf xlutils-1.7.1.tar.gz [root@vm4 python]# cd xlutils-1.7.1 [root@vm4 xlutils-1.7.1]# Python-2.7.3 setup.py install
七、安装cx_Oracle
python操作oracle时, 需要安装此插件。安装完oracle客户端之后才能安装cx_Oracle.
[root@vm4 python]# pip-2.7.3 install cx_Oracle
Downloading/unpacking cx-Oracle
Downloading cx_Oracle-5.1.3.tar.gz (104kB): 104kB downloaded
Running setup.py (path:/tmp/pip_build_root/cx-Oracle/setup.py) egg_info for package cx-Oracle
Installing collected packages: cx-Oracle
Running setup.py install for cx-Oracle
building 'cx_Oracle' extension
gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -fPIC -I/opt/oracle/instantclient_11_2/sdk/include -I/usr/include/python2.6 -c cx_Oracle.c -o build/temp.linux-x86_64-2.6-11g/cx_Oracle.o -DBUILD_VERSION=5.1.3
gcc -pthread -shared build/temp.linux-x86_64-2.6-11g/cx_Oracle.o -L/opt/oracle/instantclient_11_2/ -L/usr/lib64 -lclntsh -lpython2.6 -o build/lib.linux-x86_64-2.6-11g/cx_Oracle.so
Successfully installed cx-Oracle
Cleaning up...
安装成功后建立软链接
[root@localhost instantclient_11_2]# ln -s libclntsh.so.11.1 libclntsh.so
(以上安装成功后的包在/usr/lib64/python2.6/site-packages)
八、安装过程中遇到的问题
1、在安装了Python2.7.3之后,执行
[root@vm4 Python-2.7.3]#mv /usr/bin/python /usr/bin/python2.6.6 [root@vm4 Python-2.7.3]#ln -s /usr/python/Python-2.7.3/bin/python /usr/bin/python
再使用yum时,报错:It's possible that the above module doesn't match the current version of Python
分析原因:CentOS 6.4系统默认Python版本是2.6.6,需要升级到Python 2.7.3,由于yum包管理是用python写的,仅仅单独升级python会导致yum无法使用.
出现这种情况的主要原因在于新安装的Python没有YUM服务所依赖的Packages.
解决方法:查找yum文件,并编辑此py文件
[root@Centos ~]# which yum /usr/bin/yum [root@Centos ~]# vi /usr/bin/yum
将
#!/usr/bin/python
改为:
#!/usr/bin/python2.6.6
然后保存OK.
另外,还有一种可能也同样会导致无法使用yum,就是/usr/bin下的python、python2、python2.4三个文件一定不能改变。理论上说yum只是基于python语言,跟版本并没有关系,但是升级过程中确实会出现问题
2、在python运行过程中出现如下错误:
python错误:ImportError: No module named setuptools
这句错误提示的表面意思是:没有setuptools的模块,说明python缺少这个模块,那我们只要安装这个 模块即可解决此问题
解决方法:安装setuptools
3、执行python脚本时,报错
[root@vm4 statistics]# Python-2.7.3 generator.py
Traceback (most recent call last): File "generator.py", line 3, in <module>
import cx_Oracle
ImportError: No module named cx_Oracle
解决方法:安装cx_Oracle
4、[root@localhost site-packages]# pip install cx_Oracle报错:
Downloading/unpacking cx-Oracle
Downloading cx_Oracle-5.1.3.tar.gz (104kB): 104kB downloaded
Running setup.py (path:/tmp/pip_build_root/cx-Oracle/setup.py) egg_info for package cx-Oracle
Installing collected packages: cx-Oracle
Running setup.py install for cx-Oracle
building 'cx_Oracle' extension
gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -fPIC -I/opt/oracle/instantclient_11_2/sdk/include -I/usr/include/python2.6 -c cx_Oracle.c -o build/temp.linux-x86_64-2.6-11g/cx_Oracle.o -DBUILD_VERSION=5.1.3
gcc -pthread -shared build/temp.linux-x86_64-2.6-11g/cx_Oracle.o -L/opt/oracle/instantclient_11_2/ -L/usr/lib64 -lclntsh -lpython2.6 -o build/lib.linux-x86_64-2.6-11g/cx_Oracle.so
/usr/bin/ld: cannot find -lclntsh
collect2: ld returned 1 exit status
error: command 'gcc' failed with exit status 1
Complete output from command /usr/bin/python -c "import setuptools, tokenize;__file__='/tmp/pip_build_root/cx-Oracle/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-ONXD3d-record/install-record.txt --single-version-externally-managed --compile:
running install
running build
running build_ext
building 'cx_Oracle' extension
creating build
creating build/temp.linux-x86_64-2.6-11g
gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -fPIC -I/opt/oracle/instantclient_11_2/sdk/include -I/usr/include/python2.6 -c cx_Oracle.c -o build/temp.linux-x86_64-2.6-11g/cx_Oracle.o -DBUILD_VERSION=5.1.3
creating build/lib.linux-x86_64-2.6-11g
gcc -pthread -shared build/temp.linux-x86_64-2.6-11g/cx_Oracle.o -L/opt/oracle/instantclient_11_2/ -L/usr/lib64 -lclntsh -lpython2.6 -o build/lib.linux-x86_64-2.6-11g/cx_Oracle.so
/usr/bin/ld: cannot find -lclntsh
collect2: ld returned 1 exit status
error: command 'gcc' failed with exit status 1
----------------------------------------
Cleaning up...
Command /usr/bin/python -c "import setuptools, tokenize;__file__='/tmp/pip_build_root/cx-Oracle/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-ONXD3d-record/install-record.txt --single-version-externally-managed --compile failed with error code 1 in /tmp/pip_build_root/cx-Oracle
Storing debug log for failure in /root/.pip/pip.log
解决方法:[root@localhost instantclient_11_2]# ln -s libclntsh.so.11.1 libclntsh.so
5、执行python脚本时,报./startup.sh: Permission denied
解决方法:chmod u+x *.sh
6、
[root@localhost statistics]# ./generator.py
Traceback (most recent call last):File "./generator.py", line 3, in <module>
import cx_Oracle
ImportError: libaio.so.1: cannot open shared object file: No such file or directory
解决方法:[root@localhost statistics]# yum install libaio
九、python和python-dev以及boost.python的关系
很多时候,很多人搞不清楚,python和python-dev以及boost.python的关系。python是执行环境 ,如果你要c/c++中调用python,或者python调用c或者c++,则需要python-dev。boost.python仅仅是对 python-dev进行了封装,很多函数,两边都具有同样的功能,也就是说用python-dev中的也可以如run1 函数,用boost.python中的也行如run2,boost.python的接口封装得更为友好而已如异常处理。
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