如果想使用easy_install工具,可能需要先安装setuptools,不过更酷的方法是使用ez_setup.py脚本:
代码如下:
wget -q http://peak.telecommunity.com/dist/ez_setup.py
python ez_setup.py
安装完后,最好确保easy_install所在目录已经被加到PATH环境变量里:
代码如下:
Windows: C:\Python25\Scripts
Linux: /usr/local/bin
比如说要安装Python的MySQL支持,可以执行如下命令,系统会自动在pypi网站列表里查找相关软件包:
代码如下:
easy_install MySQL-python
如果你在Windows+python2.5上执行如上命令的话,可能会出现如下错误:
代码如下:
Processing MySQL-python-1.2.3c1.tar.gz
Running MySQL-python-1.2.3c1\setup.py -q bdist_egg --dist-dir c:\docume~1\...
\locals~1\temp\easy_install-fvvfve\MySQL-python-1.2.3c1\egg-dist-tmp-q9moxf
error: The system cannot find the file specified
出现这类错误的原因是选错了版本,针对这个案列,我们可以显式指定软件包的版本号:
代码如下:
easy_install "MySQL-python==1.2.2"
通过easy_install安装软件,相关安装信息会保存到easy-install.pth文件里,路径类似如下形式:
代码如下:
Windows:C:\Python25\Lib\site-packages\easy-install.pth
Linux:/usr/local/lib/python25/site-packages/easy-install.pth
如果想删除通过easy_install安装的软件包,比如说:MySQL-python,可以执行命令:
代码如下:
easy_install -m MySQL-python
此操作会从easy-install.pth文件里把MySQL-python的相关信息抹去,剩下的egg文件,手动删除即可。

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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