Working with APIs

Overview of RESTful APIs in Python

RESTful APIs (Representational State Transfer) is an architectural style that defines a set of constraints to be used for creating web services1arrow-up-right2arrow-up-right. Python provides some great tools not only to get data from REST APIs but also to build your own Python REST APIs1arrow-up-right. By using Python and REST APIs, you can retrieve, parse, update, and manipulate the data provided by any web service you’re interested in1arrow-up-right.

Example

# Example 1: Importing the requests library
import requests

# Example 2: Defining the API URL
api_url = "https://jsonplaceholder.typicode.com/todos"

# Example 3: Creating a dictionary to send as data
todo = {"userId": 1, "title": "Buy milk", "completed": False}

# Example 4: Sending a POST request
response = requests.post(api_url, json=todo)

# Example 5: Getting the response in JSON format
response_json = response.json()

# Example 6: Getting the status code of the response
status_code = response.status_code

Exercise

  • Exercise 1: Write a Python function to send a GET request to an API and print the status code of the response.

  • Answer 1:

  • Exercise 2: Write a Python function to send a POST request to an API with a JSON payload and print the response.

  • Answer 2:

  • Exercise 3: Write a Python function to update a resource using a PUT request.

  • Answer 3:

  • Exercise 4: Write a Python function to delete a resource using a DELETE request.

  • Answer 4:

  • Exercise 5: Write a Python function to handle exceptions while making API requests.

  • Answer 5:

Making HTTP requests with Python

HTTP requests are a fundamental part of web development and data retrieval. Python provides several libraries to make HTTP requests, with requests being the most popular due to its simplicity and ease of usearrow-up-right1arrow-up-right. With the requests library, you can send HTTP requests using common methods such as GET, POST, PUT, DELETE, etcarrow-up-right1arrow-up-right.

Example

Exercise

  • Exercise 1: Write a Python function to send a GET request to an API and print the status code of the response.

  • Answer 1:

  • Exercise 2: Write a Python function to send a POST request to an API with a JSON payload and print the response.

  • Answer 2:

  • Exercise 3: Write a Python function to update a resource using a PUT request.

  • Answer 3:

  • Exercise 4: Write a Python function to delete a resource using a DELETE request.

  • Answer 4:

  • Exercise 5: Write a Python function to handle exceptions while making API requests.

  • Answer 5:

Parsing JSON responses in Python

JSON (JavaScript Object Notation) is a popular data format with diverse uses in data interchange, including that of web services1arrow-up-right2arrow-up-right. Python provides the json module which can be used to both parse JSON, as well as convert Python objects into JSONarrow-up-right3arrow-up-right. When dealing with APIs and HTTP responses, the requests library in Python can be used. It provides a built-in JSON decoder to handle JSON dataarrow-up-right1arrow-up-right2arrow-up-right.

Example

Exercise

Exercise 1: Write a Python function to send a GET request to an API and parse the JSON response.

  • Answer 1:

  • Exercise 2: Write a Python function to pretty print a parsed JSON response.

  • Answer 2:

  • Exercise 3: Write a Python function to access a specific key from a parsed JSON response.

  • Answer 3:

  • Exercise 4: Write a Python function to handle exceptions while parsing a JSON response.

  • Answer 4:

  • Exercise 5: Write a Python function to convert a Python dictionary into a JSON string.

  • Answer 5:

Building API clients and wrappers in Python

An API client is any piece of code that consumes an API1arrow-up-right. Building API clients and wrappers involves creating a library in your language of choice that helps you abstract away the API’s implementation details2arrow-up-right. You would access the API through calling regular methods provided by the library, rather than constructing HTTP requests from scratch2arrow-up-right. These libraries also have the advantage of returning data as familiar data structures provided by the language, hence enabling idiomatic ways to access and manipulate this data2arrow-up-right.

Example

Exercise

  • Exercise 1: Write a Python function to send a GET request to an API and print the status code of the response.

  • Answer 1:

  • Exercise 2: Write a Python function to send a POST request to an API with a JSON payload and print the response.

  • Answer 2:

  • Exercise 3: Write a Python function to update a resource using a PUT request.

  • Answer 3:

  • Exercise 4: Write a Python function to delete a resource using a DELETE request.

  • Answer 4:

  • Exercise 5: Write a Python function to handle exceptions while making API requests.

  • Answer 5:

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