Web IDE and VS Code

Web IDE is like an “online version of VS Code”, allowing you to enjoy professional programming editor features directly in your browser. No need to install any software, just open a webpage to start programming, and the functionality is almost as powerful as local VS Code.

Main Features

Editor Features

Smart Editing: Code has color coding, easy to read, automatic suggestions and completion while typing, intelligent error checking and fixing, automatic code formatting.

Terminal Integration: Built-in command line terminal, supports split-screen display, can run various commands, convenient for managing files and environment.

Extension Support

Pre-installed Extensions: Python development environment, Jupyter Notebook support, Git version control, Docker container management, remote development tools, intelligent code suggestions.

Extension Management: Can install new extensions, can disable unnecessary extensions, rich extension functionality, improve development efficiency.

Environment Configuration

Workspace Settings

1. Basic Configuration

   {
     "editor.fontSize": 14,
     "editor.tabSize": 4,
     "editor.wordWrap": "on",
     "files.autoSave": "afterDelay",
     "terminal.integrated.fontSize": 14
   }
   

2. Python Configuration

   {
     "python.linting.enabled": true,
     "python.formatting.provider": "black",
     "python.linting.pylintEnabled": true,
     "jupyter.notebookFileRoot": "${workspaceFolder}"
   }
   

Shortcut Key Settings

1. Common Shortcuts

   keybindings:
     editor:
       format_document: "Shift + Alt + F"
       quick_fix: "Ctrl + ."
       go_to_definition: "F12"
       find_all_references: "Shift + F12"
     terminal:
       new_terminal: "Ctrl + `"
       split_terminal: "Ctrl + Shift + 5"
     notebook:
       run_cell: "Shift + Enter"
       add_cell: "B"
       change_to_markdown: "M"
   

2. Custom Shortcuts

   {
     "key": "ctrl+shift+r",
     "command": "jupyter.runAllCells",
     "when": "editorTextFocus && jupyter.hascodecells"
   }
   

Jupyter Integration

Notebook Support

1. Create Notebook

   # Through command palette
   Ctrl/Cmd + Shift + P
   > Create New Jupyter Notebook
   
   # Through file menu
   File > New File > Jupyter Notebook
   

2. Interactive Development

   # Execute code in cells
   # Select Python kernel
   import numpy as np
   import pandas as pd
   
   # Display variables
   %whos
   
   # Magic commands
   %%time
   for i in range(1000000):
       pass
   

Debugging Features

1. Breakpoint Debugging

   # Set breakpoints
   def process_data(data):
       # Set breakpoint here
       result = complex_calculation(data)
       return result
   
   # Start debugging
   if __name__ == "__main__":
       data = load_data()
       result = process_data(data)
   

2. Variable Inspection

   # In debug console
   > print(data.shape)
   > data.head()
   > type(result)
   

Git Integration

Basic Operations

1. Repository Operations

   # Clone repository
   git clone https://github.com/username/repo.git
   
   # Initialize repository
   git init
   

2. Version Control

   # Stage changes
   git add .
   
   # Commit changes
   git commit -m "Describe changes"
   
   # Push changes
   git push origin main
   

Graphical Interface

1. Source Control Management

   • File status viewing
   • Change comparison
   • Commit history
   • Branch management

2. Merge Conflicts

   conflict_resolution:
     - Open conflict file
     - Choose which changes to keep
     - Mark as resolved
     - Commit changes
   

Remote Development

SSH Connection

Connection Configuration

• Set remote server address
• Configure username and port
• Set authentication files
• Test connection success

Remote Operations

• Connect to remote host
• Open remote folders
• Develop in remote environment
• Manage remote files

Container Development

Docker Configuration: Use Python 3.9 image, mount work folders, set Python path, configure development environment.

Container Operations: Open projects in containers, rebuild development containers, manage container environment, ensure environment consistency.

Performance Optimization

Editor Optimization

1. Performance Settings

   {
     "editor.minimap.enabled": false,
     "editor.renderWhitespace": "none",
     "files.watcherExclude": {
       "**/.git/objects/**": true,
       "**/node_modules/**": true
     }
   }
   

2. File Handling

   {
     "files.exclude": {
       "**/__pycache__": true,
       "**/.pytest_cache": true,
       "**/*.pyc": true
     }
   }
   

Resource Management

1. Memory Optimization

   memory_settings:
     max_memory: "2GB"
     garbage_collection: "aggressive"
     file_watcher_limit: 1000
   

2. Cache Management

   cache_settings:
     clear_on_start: false
     max_size: "1GB"
     retention_period: "7d"
   

Usage Suggestions

Development Suggestions

Workflow Optimization: Use workspaces to manage projects, sync configuration to cloud, regularly save work results, use Git to manage code versions.

Efficiency Improvement: Learn common shortcuts, use code snippet templates, configure auto-save function, fully utilize intelligent suggestions.

Team Collaboration

Code Standards: Auto-format code on save, auto-organize import statements, enable code checking, maintain consistent code style.

Shared Settings: Set code line length limits, auto-remove extra spaces, add newline at file end, team uses unified configuration.

Summary

Web IDE and VS Code provide you with a powerful online programming environment. Through reasonable usage, you can Develop Online (no need to install software, open webpage to program), Professional Experience (enjoy all powerful features of VS Code), Team Collaboration (support multi-person collaborative development), and Environment Consistency (ensure development environment consistency).

Remember, Web IDE makes professional programming accessible. Start with simple code editing, gradually master advanced features, and you can become an efficient developer!