How to customize modules in Python?
Generally speaking, we will store the Python modules we write ourselves separately from the modules that come with python to facilitate maintenance. So how to add custom modules in Python?
Before answering this question, we must first clarify two points:
1. Strictly distinguish between packages and folders. The definition of a package is the folder containing __init__.py. If there is no __init__.py, then it is an ordinary folder.
2. Module import writing method, please note that only the package path is required, not the folder path.
The Python running environment traverses the sys.path list when searching for library files. If we want to register a new class library in the running environment, there are two main methods:
1 . Add new paths to the sys.path list.
2. Copy the library file to the directory in the sys.path list (such as the site-packages directory).
We can check sys.path by running the code
import sys print sys.path
Run results
['/System/Library/Frameworks/Python.framework/Versions/ 2.7/lib/python2.7/lib-old', '/System/Library/Frameworks/Python.
framework/Versions/2.7/lib/python2.7/lib-dynload', '/System/ Library/Frameworks/Python.framework/Versions/2.7/Extras/
lib/python/PyObjC', '/Library/Python/2.7/site-packages']
This The first of the two methods is simpler and has the least impact on the environment.
Let’s take a look at how to operate the first method:
Create a new pythontab.pth in the site-package folder of the python installation directory. The path of the site-package above is: / Library/Python/2.7/site-packages, the content of the file is: the folder path where the package that needs to be imported is located.
In this way, when Python sees a .pth file while traversing the known library file directory, it will add the path recorded in the file to the sys.path setting, so that the .pth file says The specified package can be successfully found by the Python running environment, and we can introduce custom modules just like using built-in modules.
If the default sys.path does not contain the path of its own module or package, we can also use the sys.path.apend method to dynamically add the package path.
Knowledge point expansion:
Principles for adding custom modules in Python:
1. Strictly distinguish between packages and folders. The definition of a package is the folder containing __init__.py. If there is no __init__.py, then it is an ordinary folder.
2. Import package. Create a new xxx.pth in the site-package folder of the python installation directory. The content is the folder path of the package that needs to be imported.
3. Import the module. This is the general module import writing method. Note that only the package path is required, not the folder path.
Recommended tutorial: "Python Tutorial"
The above is the detailed content of How to customize modules in Python?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

CentOS Installing Nginx requires following the following steps: Installing dependencies such as development tools, pcre-devel, and openssl-devel. Download the Nginx source code package, unzip it and compile and install it, and specify the installation path as /usr/local/nginx. Create Nginx users and user groups and set permissions. Modify the configuration file nginx.conf, and configure the listening port and domain name/IP address. Start the Nginx service. Common errors need to be paid attention to, such as dependency issues, port conflicts, and configuration file errors. Performance optimization needs to be adjusted according to the specific situation, such as turning on cache and adjusting the number of worker processes.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.
