


1. Install the pip2pi tool:
##
pip install pip2pior:
git clone http://www.php.cn/ cd pip2pi python setup.py install
2. Create a warehouse to store the software package:
mkdir /opt/python/soft/pypi.php.cn
3. Download the software package And create an index:
Download a software package individuallypip2tgz /opt/python/soft/pypi.jb51.net/ routes==1.12.3Download software packages in batches:
pip2tgz /opt/python/soft/pypi.jb51.net/ -r list/requirements.txtCreate index:
dir2pi /opt/python/soft/pypi.jb51.net/Update index:
pip2acmeco uliweb=0.2.6 pip2acmeco -r list/requirements.txt
4. Configure the web side with nginx:
Nginx server adds virtual host configuration:server { listen 80; server_name pypi.jb51.net; root /opt/python/soft/pypi.jb51.net; location /{ autoindex on; autoindex_exact_size off; #显示文件的大小 autoindex_localtime on; #显示文件时间 #limit_rate_after 5m; #5分钟后下载速度限制为200k limit_rate 200k; } access_log logs/pypi.jb51.net.access.log main; }At this point, you have configured your own private pypi. When you need any software packages, you can just get them and put them in your own pypi; In the same way, you can also package your own projects.
5. How to better use pypi source:
For example, install uliwebpip install --index-url=http://pypi.jb51.net/simple/ uliwebor
pip install -i uliwebIs this very troublesome? Do you want to use your own pypi source by default? Well, it’s given to you here I have thought of a method: Create the ~/.pip/pip.conf file under Linux. The file content is as follows
[global] index-url = http://pypi.PHP.cn/simpleIf It is a windows environment, create: %HOMEPATH%\pip\pip.iniThe content is the same as under Linux above.We also recommend several better domestic pypi sources:
http://pypi.douban.com 豆瓣 http://pypi.hustunique.com 华中理工大学 http://pypi.sdutlinux.org 山东理工大学 http://pypi.mirrors.ustc.edu.cn 中国科学技术大学
PS: There are two ways to modify the source used by easy_install and pip
(from the mirror source e.pypi.python.org on Linux Download and install requests as an example):
easy_install -i http://e.pypi.python.org/simple requestspip
pip install requests -i http://e.pypi.python.org/simpleNote: 1. The source path must include the /simple part; 2. When using pip, the -i parameter should be placed after install xxxModify (if not, create) the configuration file of easy_install/pip easy_install: Write the following content in the ~/.pydistutils.cfg configuration file:
[easy_install] index_url = http://e.pypi.python.org/simplepip: Write in the ~/.pip/pip.conf configuration file:
[global] index-url = http://e.pypi.python.org/simpleMore detailed explanations of building in the Python environment For articles related to tutorials on your own pip source, please pay attention to the PHP Chinese website!

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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