Claude Cheat Feuille
Aperçu général
Claude est l'assistante IA d'Anthropic conçu pour être utile, inoffensif et honnête. Il excelle dans la génération de code, l'analyse, le débogage et l'écriture technique. Claude prend en charge plusieurs langages de programmation et peut aider à des tâches complexes de développement de logiciels, à des décisions architecturales et à des révisions de codes.
C'est pas vrai. Note: Nécessite un compte anthropique. Niveau gratuit disponible avec limites d'utilisation. Les plans professionnels et d'équipe offrent des limites plus élevées et des fonctionnalités supplémentaires.
Méthodes d'accès
Interface Web
# Direct browser access
# Visit: https://claude.ai
# Sign up with email or Google account
# Start chatting immediately
Intégration de l'API
# Install Anthropic SDK
pip install anthropic
# Or using npm
npm install @anthropic-ai/sdk
# Set API key
export ANTHROPIC_API_KEY=your_api_key_here
```_
### Intégrations de tiers
```bash
# Popular IDE extensions:
# - Claude for VS Code (community)
# - Claude Dev (VS Code extension)
# - Cline (formerly Claude Dev)
# Install Cline extension
code --install-extension saoudrizwan.claude-dev
```_
## API Utilisation
### Python SDK
```python
import anthropic
# Initialize client
client = anthropic.Anthropic(
api_key="your_api_key_here"
)
# Basic message
message = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1000,
temperature=0,
messages=[
{
"role": "user",
"content": "Write a Python function to calculate fibonacci numbers"
}
]
)
print(message.content)
Node.js SDK
import Anthropic from '@anthropic-ai/sdk';
const anthropic = new Anthropic({
apiKey: process.env.ANTHROPIC_API_KEY,
});
const msg = await anthropic.messages.create({
model: "claude-3-5-sonnet-20241022",
max_tokens: 1000,
temperature: 0,
messages: [
{
"role": "user",
"content": "Create a React component for a todo list"
}
]
});
console.log(msg.content);
CURL Exemples
# Basic API call
curl https://api.anthropic.com/v1/messages \
--header "x-api-key: $ANTHROPIC_API_KEY" \
--header "content-type: application/json" \
--header "anthropic-version: 2023-06-01" \
--data '{
"model": "claude-3-5-sonnet-20241022",
"max_tokens": 1000,
"messages": [
{
"role": "user",
"content": "Explain async/await in JavaScript"
}
]
}'
Modèles
Claude 3.5 Sonnet
# Model: claude-3-5-sonnet-20241022
# Best overall performance
# Excellent for coding tasks
# Strong reasoning capabilities
# 200K context window
Claude 3 Opus
# Model: claude-3-opus-20240229
# Most capable model
# Best for complex reasoning
# Highest accuracy
# 200K context window
# Higher cost per token
Claude 3 Haiku
# Model: claude-3-haiku-20240307
# Fastest and most affordable
# Good for simple tasks
# Quick responses
# 200K context window
# Lower cost per token
Génération de codes
Création de fonctions
# Prompt: "Create a Python function to validate email addresses with regex"
import re
def validate_email(email):
"""
Validate email address using regex pattern.
Args:
email (str): Email address to validate
Returns:
bool: True if valid email, False otherwise
"""
pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
return re.match(pattern, email) is not None
# Example usage
print(validate_email("user@example.com")) # True
print(validate_email("invalid-email")) # False
Mise en œuvre des classes
// Prompt: "Create a JavaScript class for managing a shopping cart"
class ShoppingCart {
constructor() {
this.items = [];
this.total = 0;
}
addItem(product, quantity = 1) {
const existingItem = this.items.find(item => item.product.id === product.id);
if (existingItem) {
existingItem.quantity += quantity;
} else {
this.items.push({ product, quantity });
}
this.updateTotal();
}
removeItem(productId) {
this.items = this.items.filter(item => item.product.id !== productId);
this.updateTotal();
}
updateTotal() {
this.total = this.items.reduce((sum, item) => {
return sum + (item.product.price * item.quantity);
}, 0);
}
getItemCount() {
return this.items.reduce((count, item) => count + item.quantity, 0);
}
}
Développement du point d'extrémité de l'API
# Prompt: "Create a FastAPI endpoint for user authentication"
from fastapi import FastAPI, HTTPException, Depends
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel
import jwt
import bcrypt
from datetime import datetime, timedelta
app = FastAPI()
security = HTTPBearer()
class UserLogin(BaseModel):
username: str
password: str
class UserResponse(BaseModel):
username: str
token: str
@app.post("/auth/login", response_model=UserResponse)
async def login(user_data: UserLogin):
# Verify user credentials (implement your user verification logic)
if not verify_user(user_data.username, user_data.password):
raise HTTPException(status_code=401, detail="Invalid credentials")
# Generate JWT token
token_data = {
"username": user_data.username,
"exp": datetime.utcnow() + timedelta(hours=24)
}
token = jwt.encode(token_data, "your-secret-key", algorithm="HS256")
return UserResponse(username=user_data.username, token=token)
def verify_user(username: str, password: str) -> bool:
# Implement your user verification logic here
# This is a placeholder implementation
return True
Analyse et révision du code
Explication du code
# Prompt: "Explain this code and suggest improvements"
# Claude analyzes code structure, logic, and provides detailed explanations
# Identifies potential issues and optimization opportunities
# Suggests best practices and alternative approaches
Examen de la sécurité
# Prompt: "Review this code for security vulnerabilities"
# Claude identifies:
# - SQL injection risks
# - XSS vulnerabilities
# - Authentication issues
# - Input validation problems
# - Cryptographic weaknesses
# - Access control flaws
Analyse des résultats
# Prompt: "Analyze this code for performance bottlenecks"
# Claude examines:
# - Algorithm complexity
# - Memory usage patterns
# - Database query efficiency
# - Caching opportunities
# - Concurrent processing potential
Aide au débogage
Diagnostic d'erreur
# Share error message and code context
# Claude provides:
# - Root cause analysis
# - Step-by-step debugging approach
# - Multiple solution options
# - Prevention strategies
# Example prompt:
"""
I'm getting this error: "TypeError: 'NoneType' object is not subscriptable"
Here's my code:
[paste your code here]
Can you help me debug this?
"""
Stratégie d'essai
// Prompt: "Create comprehensive tests for this function"
// Claude generates:
// - Unit tests
// - Integration tests
// - Edge case scenarios
// - Mock implementations
// - Test data fixtures
describe('ShoppingCart', () => {
let cart;
beforeEach(() => {
cart = new ShoppingCart();
});
test('should initialize with empty items and zero total', () => {
expect(cart.items).toEqual([]);
expect(cart.total).toBe(0);
});
test('should add new item to cart', () => {
const product = { id: 1, name: 'Test Product', price: 10.99 };
cart.addItem(product, 2);
expect(cart.items).toHaveLength(1);
expect(cart.items[0].quantity).toBe(2);
expect(cart.total).toBe(21.98);
});
});
Caractéristiques avancées
Conversations multi-tours
# Maintain context across multiple interactions
# Claude remembers previous code discussions
# Can iterate on solutions
# Builds upon previous suggestions
# Example conversation flow:
# 1. "Create a user management system"
# 2. "Add password hashing to the previous code"
# 3. "Now add email verification functionality"
# 4. "Include rate limiting for login attempts"
Refactoration du code
# Prompt: "Refactor this code to use modern Python patterns"
# Claude transforms:
# - Legacy code to modern syntax
# - Procedural to object-oriented
# - Synchronous to asynchronous
# - Monolithic to modular design
Conception d'architecture
# Prompt: "Design a microservices architecture for an e-commerce platform"
# Claude provides:
# - Service decomposition strategy
# - API design patterns
# - Database architecture
# - Communication protocols
# - Deployment considerations
Intégration IDE
Code VS avec Cline
# Install Cline extension
code --install-extension saoudrizwan.claude-dev
# Features:
# - Inline code generation
# - File editing capabilities
# - Terminal command execution
# - Multi-file project understanding
# - Automated testing
Configuration
// VS Code settings for Claude integration
{
"claude-dev.apiKey": "your_api_key",
"claude-dev.model": "claude-3-5-sonnet-20241022",
"claude-dev.maxTokens": 4000,
"claude-dev.temperature": 0.1
}
Raccourcis clavier
# Common shortcuts in Claude-enabled editors:
Ctrl+Shift+P # Open command palette
Ctrl+K Ctrl+I # Inline code generation
Ctrl+K Ctrl+C # Code explanation
Ctrl+K Ctrl+T # Generate tests
Ctrl+K Ctrl+R # Refactor code
Meilleures pratiques
Mise à jour efficace
# Be specific and provide context
# Good: "Create a Python function that validates email addresses using regex, handles edge cases, and returns detailed error messages"
# Bad: "Make email validator"
# Include relevant details:
# - Programming language
# - Framework/library preferences
# - Performance requirements
# - Error handling needs
# - Testing requirements
Qualité du code
# Always review generated code:
# 1. Test functionality thoroughly
# 2. Check for security vulnerabilities
# 3. Verify error handling
# 4. Ensure code style consistency
# 5. Validate performance implications
Développement itératif
# Use Claude for iterative improvement:
# 1. Start with basic implementation
# 2. Add error handling
# 3. Improve performance
# 4. Add comprehensive tests
# 5. Refactor for maintainability
Prix et limites
Niveau libre
# Claude.ai web interface:
# - Limited messages per day
# - Access to Claude 3.5 Sonnet
# - Basic conversation features
# - No API access
Plan pro (20$/mois)
# Enhanced features:
# - 5x more usage
# - Priority bandwidth
# - Early access to new features
# - Create Projects with Claude
Prix de l'API
# Claude 3.5 Sonnet:
# Input: $3 per million tokens
# Output: $15 per million tokens
# Claude 3 Opus:
# Input: $15 per million tokens
# Output: $75 per million tokens
# Claude 3 Haiku:
# Input: $0.25 per million tokens
# Output: $1.25 per million tokens
Dépannage
Questions communes
# API rate limits:
# - Implement exponential backoff
# - Monitor usage quotas
# - Use appropriate model for task
# Context window limits:
# - Break large requests into chunks
# - Summarize previous context
# - Use conversation memory efficiently
Gestion des erreurs
# Robust API error handling
import anthropic
from anthropic import APIError, RateLimitError
try:
response = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1000,
messages=[{"role": "user", "content": prompt}]
)
except RateLimitError:
print("Rate limit exceeded. Please wait and try again.")
except APIError as e:
print(f"API error occurred: {e}")
except Exception as e:
print(f"Unexpected error: {e}")
Optimisation des performances
# Optimize API usage:
# - Use appropriate model for task complexity
# - Set reasonable max_tokens limits
# - Implement caching for repeated queries
# - Batch similar requests when possible
Ressources
Documentation
- Documentation de l'API anthropique
- Renseignements sur le modèle Claude
- [Référence API] (LINK_9)
Communauté
- [Discorde anthropique] (LINK_9)
- [Reddit r/ClaudeAI] (LINK_9)
- [Débordement de la pile] (LINK_9)
Outils et extensions
- [Extension du code VS de ligne] (LINK_9)
- [Claude API Cookbook] (LINK_9)
- [Outils communautaires] (LINK_9)