University of Edinburgh

APIs and Machine Learning

Pre-course material

Before this course starts, please follow the guide linked below:
Pre-course guide

Introduction to APIs

• What is an API?

  • What do we use them for? Why?
  

• HTTP(s)

  • Requests/Responses

• HTTP Requests from Python

  • Requests lib
  • EXERCISE 1 - Interacting with an API

    Get the latest Bitcoin price data and output the price of one bitcoin in USD
    

• API Structures

  • REST
    • HTTP Verbs
    • HTTP Status Codes
    • URL Structures (Resources)
    • EXERCISE 2 - GETting data

    Output the name and crew size of star starship with ID 3 from the Starwars API
    

    • EXERCISE 3 - Updating data

    Send a PUT request to post ID 1 to change the title and/or body
    

  • GraphQL
    • Problems with REST
    • Demo

• ChatGPT API

  • API keys
  • OpenAi pip library
    • pip install --upgrade openai
  • EXERCISE 4 - Recreate a lecturer

    Simulate a lecturer for a Masters in Finance, Technology and Policy having a conversation with you, a student
    

• Pandas

  • What is it?
  • Dataframes
  • EXERCISE 5

  Load credit card fraud data from our API and put it into a Pandas Dataframe