【方法一】: 通过setuptools来安装python模块
首先下载 http://peak.telecommunity.com/dist/ez_setup.py
NOTE: 最好下载个setuptools,本人是15.2版本,里面包含了ez_setup
运行 python ez_setup.py
D:\work\installation\setuptools-15.2\setuptools-15.2>python ez_setup.py > 1.txt Extracting in c:\users\admini~1\appdata\local\temp\tmpbxikxf Now working in c:\users\admini~1\appdata\local\temp\tmpbxikxf\setuptools-15.2 Installing Setuptools ...... Copying setuptools-15.2-py2.7.egg to c:\python27\lib\site-packages setuptools 15.2 is already the active version in easy-install.pth Installing easy_install-script.py script to C:\Python27\Scripts Installing easy_install.exe script to C:\Python27\Scripts Installing easy_install-2.7-script.py script to C:\Python27\Scripts Installing easy_install-2.7.exe script to C:\Python27\Scripts Installed c:\python27\lib\site-packages\setuptools-15.2-py2.7.egg Processing dependencies for setuptools==15.2 Finished processing dependencies for setuptools==15.2
运行 easy_install py
D:\work>easy_install py #py 为第三方库文件 Searching for py Best match: py 1.4.26 Adding py 1.4.26 to easy-install.pth file Using c:\python27\lib\site-packages Processing dependencies for py Finished processing dependencies for py
【方法二】: 通过pip来安装python模块
安装 easy_install pip
D:\work>easy_install pip Searching for pip Best match: pip 6.1.1 Processing pip-6.1.1-py2.7.egg pip 6.1.1 is already the active version in easy-install.pth Installing pip-script.py script to C:\Python27\Scripts Installing pip.exe script to C:\Python27\Scripts Installing pip2.7-script.py script to C:\Python27\Scripts Installing pip2.7.exe script to C:\Python27\Scripts Installing pip2-script.py script to C:\Python27\Scripts Installing pip2.exe script to C:\Python27\Scripts Using c:\python27\lib\site-packages\pip-6.1.1-py2.7.egg Processing dependencies for pip Finished processing dependencies for pip
运行 pip install xlrd
Usage: pip <command> [options] Commands: install Install packages. uninstall Uninstall packages. freeze Output installed packages in requirements format. list List installed packages. show Show information about installed packages. search Search PyPI for packages. wheel Build wheels from your requirements. zip DEPRECATED. Zip individual packages. unzip DEPRECATED. Unzip individual packages. help Show help for commands. General Options: -h, --help Show help. --isolated Run pip in an isolated mode, ignoring environment variables and user configuration. -v, --verbose Give more output. Option is additive, and can be used up to 3 times. -V, --version Show version and exit. -q, --quiet Give less output. --log <path> Path to a verbose appending log. --proxy <proxy> Specify a proxy in the form [user:passwd@]proxy.server:port. --retries <retries> Maximum number of retries each connection should attempt (default 5 times). --timeout <sec> Set the socket timeout (default 15 seconds). --exists-action <action> Default action when a path already exists: (s)witch, (i)gnore, (w)ipe, (b)ackup. --trusted-host <hostname> Mark this host as trusted, even though it does not have valid or any HTTPS. --cert <path> Path to alternate CA bundle. --client-cert <path> Path to SSL client certificate, a single file containing the private key and the certificate in PEM format. --cache-dir <dir> Store the cache data in <dir>. --no-cache-dir Disable the cache. --disable-pip-version-check Don't periodically check PyPI to determine whether a new version of pip is available for download. Implied with --no-index.
【方法三】:直接从网上下载下可执行文件来安装.
比如说,去 >>> pythonlibs

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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