Module 3 · Files, tools and your own data Lesson 10 of 15
The Anthropic API and your first script
Claude is available over an API billed per token, with a large context window and native support for tool use and long documents. You do not need this to finish the course, and you do not need it for a fresher job either — but an afternoon here is what turns "I have used Claude" into "I have built with it", which is a different sentence in an interview.
The concept
Claude is available over an API billed per token, with a large context window and native support for tool use and long documents. The idea is simple: the same model you have been chatting with also answers a web request, so you can put it inside a script, a spreadsheet or a page. A key identifies you; a request sends the text; a response comes back as data.
The reason to try it once, even if you never build anything: it makes the chat version less mysterious. You see that the whole conversation is text in and text out, that your instructions are literally lines of a request, and that "the model" is one parameter among several.
A first call looks like this:
import anthropic
client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY
msg = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=300,
messages=[{
"role": "user",
"content": "In three sentences, what is a data analyst? Be concrete.",
}],
)
print(msg.content[0].text)Common mistakes
The mistake is sending a 200-page document on every request because the window is large. Tokens cost money and time; send the pages the question is about.
Worked example
A script that reads a folder of PDFs and returns a one-paragraph abstract of each is the classic first job for this API, and it is genuinely useful for a student with forty papers.
Your practice task
Get a key, run one request that works, and change one word in it to see the answer change. That is the whole of the first afternoon.
Do this before moving on. Reading a solution teaches the shape of it; typing it teaches you.
Key takeaway
Claude is available over an API billed per token, with a large context window and native support for tool use and long documents.
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Finish every lesson to unlock the certificate. Each one ends in a practice task — do them and the final project brief writes itself.
