Introduktion till Claude-modeller
Nikhil Rangarajan
Data Scientist
Officiellt Python SDK för åtkomst till Claude
Hjälper till att strukturera interaktioner med Claude
Installera via pip:
pip install anthropic
Importera biblioteket:
import anthropic

$$
import anthropicclient = anthropic.Anthropic( api_key=os.getenv("ANTHROPIC_API_KEY") )
$$
🔑 Nyckel behövs inte i kursövningarna
response = client.messages.create(model="claude-sonnet-4-6",max_tokens=100,messages=[{"role": "user", "content": "What DataCamp course do you recommend to learn Claude?"}])
model: Claude Sonnetmax_tokens: Begränsar utdatastorleken (ungefär 4 tecken per token på engelska.)messages: En lista med interaktioner som börjar med användarens indataresponse - Hela det strukturerade API-svaretresponse.content - Returnerar en lista med meddelandedelar[{'type': 'text',
'text': 'Claude is...'}]
response.content[0].text - Assistentens svar"Claude is..."
import anthropicclient = anthropic.Anthropic()response = client.messages.create( model="claude-sonnet-4-6", max_tokens=100, messages=[{"role": "user", "content": "Summarize the benefits of Claude in one sentence."}] )print(response.content[0].text)
import anthropic #Importing
client = anthropic.Anthropic()
response = client.messages.create(
model="claude-sonnet-4-6",
max_tokens=100,
messages=[{"role": "user",
"content": "Summarize the benefits of Claude in one sentence."}]
)
print(response.content[0].text)
import anthropic #Importing
client = anthropic.Anthropic() #Initializing
response = client.messages.create(
model="claude-sonnet-4-6",
max_tokens=100,
messages=[{"role": "user",
"content": "Summarize the benefits of Claude in one sentence."}]
)
print(response.content[0].text)
import anthropic #Importing
client = anthropic.Anthropic() #Initializing
response = client.messages.create( #Requesting
model="claude-sonnet-4-6",
max_tokens=100,
messages=[{"role": "user",
"content": "Summarize the benefits of Claude in one sentence."}]
)
print(response.content[0].text)
import anthropic #Importing
client = anthropic.Anthropic() #Initializing
response = client.messages.create( #Requesting
model="claude-sonnet-4-6",
max_tokens=100,
messages=[{"role": "user",
"content": "Summarize the benefits of Claude in one sentence."}]
)
print(response.content[0].text) #Extracting
Introduktion till Claude-modeller