Python 自动补全(vim)
一、vim python自动补全插件:pydiction
可以实现下面python代码的自动补全:
1.简单python关键词补全
2.python 函数补全带括号
3.python 模块补全
4.python 模块内函数,变量补全
5.from module import sub-module 补全
想为vim启动自动补全需要下载插件,地址如下:
http://vim.sourceforge.net/scripts/script.php?script_id=850
https://github.com/rkulla/pydiction
安装配置:
wget https://github.com/rkulla/pydiction/archive/master.zip unzip -q master mv pydiction-master pydiction mkdir -p ~/.vim/tools/pydiction cp -r pydiction/after ~/.vim cp pydiction/complete-dict ~/.vim/tools/pydiction
确保文件结构如下:
# tree ~/.vim
/root/.vim
├── after
│ └── ftplugin
│ └── python_pydiction.vim
└── tools
└── pydiction
└── complete-dict
创建~/.vimrc,确保其中内容如下:
# cat ~/.vimrc filetype plugin on let g:pydiction_location = '~/.vim/tools/pydiction/complete-dict'
用vim编辑一个py文件,import os.,这时候应该出现提示,证明成功,如下图
二、python交互模式下Tab自动补齐
创建文件如下:
# cat ~/.pythonstartup # python startup file #!/usr/bin/env python import sys import readline import rlcompleter import atexit import os # tab completion readline.parse_and_bind('tab: complete') # history file histfile = os.path.join(os.environ['HOME'], '.pythonhistory') try: readline.read_history_file(histfile) except IOError: pass atexit.register(readline.write_history_file, histfile) del os, histfile, readline, rlcompleter 1 echo 'export PYTHONSTARTUP=~/.pythonstartup' >> ~/.bash_profile
重新登陆shell,输入python命令进入交互模式,就可以用Tab键进行补全。如下图:

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 can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

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.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.
