python 安装包总结

时间:2024-04-08 17:03:26

PIL安装(Centos6.6)

1. 安装PIL所需的系统库 (centos6.6)
yum install zlib zlib-devel -y
yum install libjpeg libjpeg-devel -y 
yum install freetype freetype-devel -y

2、下载安装包Imaging-1.1.7.tar.gz

http://effbot.org/downloads/

解压安装包进入Imaging-1.1.73、执行下面命令,查看PIL所需的系统库是否能找到

python setup.py build_ext -i

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" alt="" />

如上图提示都不支持,需要更改setup.py文件(配置)

aaarticlea/png;base64,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" alt="" />

修改成如下内容

TCL_ROOT = "/usr/lib64/"
JPEG_ROOT = "/usr/lib64/"
ZLIB_ROOT = "/usr/lib64/"
TIFF_ROOT = "/usr/lib64/"
FREETYPE_ROOT = "/usr/lib64/"
LCMS_ROOT = "/usr/lib64/"
重新执行python setup.py build_ext -i

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" alt="" />

上面三个找到后,执行python setup.py install(安装)

安装成功后执行python selftest.py(测试)

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" alt="" />

测试成功。

如果import Image出现下图错误,先进入python的site-packages目录,手动删除PIL.pth文件和PIL目录,然后将上述步骤在做一遍(包括删除原有解压包,重新开始解压,需要改配置文件和安装、测试)。

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" alt="" />

PIL安装(Ubuntu 16.04)

1、sudo apt-get install libjpeg8 libjpeg62-dev libfreetype6 libfreetype6-dev zlib1g-dev

2、sudo apt-get install python-imaging

Mysql安装(centos6.6)

1、yum install MySQL-python mysql-devel 

2、python官网下载https://pypi.python.org/pypi/MySQL-python/1.2.4

3、解压进入目录执行python setup.py install

Mysql安装(window7)

下载安装包 http://www.lfd.uci.edu/~gohlke/pythonlibs/#mysql-python

如果是win7 64位2.7版本的python,就下载 MySQL_python‑1.2.5‑cp27‑none‑win_amd64.whl

pip install MySQL_python-1.2.5-cp27-none-win_amd64.whl

Mysql安装(Ubuntu 16.04)

1、sudo apt-get install python-setuptools

2、sudo apt-get install libmysqld-dev

3、sudo apt-get install libmysqlclient-dev

4、sudo apt-get install python-dev

5、sudo easy_install mysql-python

Redis安装(centos6.6)

pip install redis

M2Crypto安装(centos 7)

yum install -y pcre pcre-devel

下载地址 http://www.swig.org/download.html

./configure --prefix=/usr/local/swig3.0.7
make
make install

配置环境变量

export PATH=/usr/local/swig3.0.7/bin:$PATH

pip install M2Crypto

Crypto安装(centos6.6)

pip install pycrypto

Django安装(centos6.6)

pip install Django==1.9.8

Oracel安装(windows 64位)

1. 首先确定版本。

2. 下载instantclient,下载地址:http://www.oracle.com/technetwork/database/features/instant-client/index-097480.html

python 安装包总结

解压到指定目录,加入环境变量

变量名 ORACLE_HOME

python 安装包总结

变量名 TNS_ADMIN

python 安装包总结

变量名 NLS_LANG

SIMPLIFIED CHINESE_CHINA.ZHS16GBK

python 安装包总结

变量名 Path

python 安装包总结

在解压的oracle目录instantclient_11_2/network/admin创建tnsnames.ora文件,写入连接数据库地址

3. 下载cx_Oracle, 这个是一个Python的扩展包,用来访问Oracle数据库的。  https://pypi.python.org/pypi/cx_Oracle/5.2.1

Oracel安装(centos 6.6)

1. 首先确定版本。

2. 下载instantclient-basic。下载地址:http://www.oracle.com/technetwork/database/features/instant-client/index-097480.html

instantclient-basic-linux.x64-11.2.0.4.0.zip

instantclient-sdk-linux.x64-11.2.0.4.0.zip

instantclient-sqlplus-linux.x64-11.2.0.4.0.zip

python 安装包总结

3. 安装和环境变量配置

unzip instantclient-basic-linux.x64-11.2.0.4.0.zip
unzip instantclient-sdk-linux.x64-11.2.0.4.0.zip
unzip instantclient-sqlplus-linux.x64-11.2.0.4.0.zip

instantclient_11_2目录下network/admin创建tnsnames.ora文件,写入连接数据库地址

export ORACLE_HOME=/home/oracle/instantclient_11_2
export PATH=$ORACLE_HOME:$PATH
export TNS_ADMIN=$ORACLE_HOME/network/admin
export LD_LIBRARY_PATH=$ORACLE_HOME:$LD_LIBRARY_PATH
export NLS_LANG=AMERICAN_AMERICA.ZHS16GBK

创建软连接

ln -s /home/oracle/instantclient_11_2/libclntsh.so.11.1 /home/oracle/instantclient_11_2/libclntsh.so

4. 下载cx_Oracle, 这个是一个Python的扩展包,用来访问Oracle数据库的。  https://pypi.python.org/pypi/cx_Oracle/5.2.1

tar -xvf  cx_Oracle-5.2.1.tar.gz
cd cx_Oracle-5.2.1
python setup.py install

5.导入测试

import cx_Oracle

SQLAlchemy安装(centos6.6)

pip install sqlalchemy

安装pyenv(centos6.6)

yum -y install gcc gcc-c++ make git patch openssl-devel zlib-devel readline-devel sqlite-devel bzip2-devel bzip2-libs
yum install -y net-tools vim lrzsz tree screen lsof tcpdump nmap sysstat dos2unix
git clone git://github.com/yyuu/pyenv.git ~/.pyenv
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
echo 'eval "$(pyenv init -)"' >> ~/.bashrc
exec $SHELL -l
pyenv install 2.7.13

pyenv global 2.7.13  #全局进行切换到python 2.7.13版本
pyenv local 2.7.13    #只针对当前目录及其子目录切换python 2.7.13版本

安装virtualenv(centos6)

pip install virtualenv

安装virtualenvwrapper(centos6)

pip install virtualenvwrapper

安装virtualenvwrapper(windows)

pip install virtualenvwrapper-win

ipython notebook 如何打开.ipynb文件(Windows)

pip install ipython
pip install "ipython[notebook]"

访问命令:ipython notebook