Python Basics (37 Part Series)
1 Determining Python Version using the sys Library
2 Terminating a Python Program Using the Exit Function
… 33 more parts…
3 Python: A Guide to Variables
4 Python: Interacting with Users and Handling Sensitive Information
5 Python: Understanding Boolean Values and Operators
6 Introduction to the Python Math Library
7 Introduction to the Python Random Library
8 Working with Bytes in Python
9 Working with Tuples in Python
10 Working with Named Tuples in Python
11 Exploring Deques in Python
12 Python: A Guide to For and While Loops
13 Python: A Guide to Functions
14 Python: A Guide to Lambda Functions
15 Introduction to Classes in Python
16 Introduction to Python Modules and Libraries
17 Handling Exceptions in Python
18 Conditional Statements in Python
19 Disassembling Python Bytecode with the dis Library
20 Datetime Manipulation in Python
21 Using tomllib for Configuration in Python
22 Exploring the os Library With Python
23 Exploring API Requests in Python with the Official Joke API
24 Exploring Alice in Wonderland through Text Files in Python
25 Embracing the Zen of Python: A Guide to Pythonic Programming
26 Exploring the Antigravity Library in Python
27 Working with CSV Files in Python
28 Python Script Structure
29 Introduction to Logging in Python
30 Understanding Dataclasses in Python
31 Understanding the map Function in Python
32 Exploring (Some) Python Integrated Development Environments
33 Conversions in Python
34 Working with XlsxWriter in Python
35 Fortanix Library: Authentication and Security Object Retrieval
36 Interacting with SFTP Repositories: A Paramiko Integration
37 Exploring SharePoint with Microsoft Graph API
Introduction
APIs (Application Programming Interfaces) serve as essential tools for accessing and interacting with remote services, providing developers with access to a wealth of data and functionalities. In this chapter, we delve into the process of making API requests in Python, focusing on the Official Joke API as our example. We’ll explore how to fetch random jokes from the API using Python’s requests library and showcase practical examples of working with the retrieved data.
Topics
- Sending GET requests to the Official Joke API
- Parsing JSON response
- Extracting and displaying joke data
Sending GET Requests to the Official Joke API
To retrieve random jokes from the Official Joke API, we’ll use the requests library to send a GET request to the API endpoint.
import requests
# Send a GET request to the Official Joke API response = requests.get(url="https://official-joke-api.appspot.com/random_joke")
# Check if the request was successful (status code 200) if response.status_code == 200:
joke_data = response.json() # Parse JSON response print("Joke data received:", joke_data)
else:
print("Failed to retrieve joke. Status code:", response.status_code)
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Output:
Joke data received: {'type': 'general', 'setup': 'How do you make the number one disappear?', 'punchline': 'Add the letter G and it’s “gone”!', 'id': 392}
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Parsing JSON Response
The response from the Official Joke API is typically in JSON format. We can use Python’s built-in JSON module or the .json() method provided by the requests library to parse the JSON response into a Python dictionary.
import requests
# Send a GET request to the Official Joke API response = requests.get(url="https://official-joke-api.appspot.com/random_joke")
# Check if the request was successful (status code 200) if response.status_code == 200:
# Parse JSON response joke_data = response.json()
# Extract joke and punchline from the response joke = joke_data["setup"]
punchline = joke_data["punchline"]
print("Joke:", joke)
print("Punchline:", punchline)
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Output:
Joke: What do you call an alligator in a vest?
Punchline: An in-vest-igator!
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Extracting and Displaying Joke Data
Once we’ve parsed the JSON response, we can extract specific data elements such as the joke setup and punchline, and display them to the user.
import requests
# Send a GET request to the Official Joke API response = requests.get(url="https://official-joke-api.appspot.com/random_joke")
# Check if the request was successful (status code 200) if response.status_code == 200:
# Parse JSON response joke_data = response.json()
# Extract joke and punchline from the response joke = joke_data["setup"]
punchline = joke_data["punchline"]
# Display the joke and punchline print("Joke:")
print(joke)
print("Punchline:")
print(punchline)
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Output:
Joke:
What do you call a pig with three eyes?
Punchline:
Piiig
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Conclusion
The Official Joke API provides a fun and engaging way to explore the process of making API requests in Python. By leveraging the requests library, developers can easily fetch data from remote APIs and integrate it into their Python applications. Whether it’s retrieving jokes, accessing weather information, or interacting with social media platforms, the ability to make API requests opens up a world of possibilities for Python developers.
Python Basics (37 Part Series)
1 Determining Python Version using the sys Library
2 Terminating a Python Program Using the Exit Function
… 33 more parts…
3 Python: A Guide to Variables
4 Python: Interacting with Users and Handling Sensitive Information
5 Python: Understanding Boolean Values and Operators
6 Introduction to the Python Math Library
7 Introduction to the Python Random Library
8 Working with Bytes in Python
9 Working with Tuples in Python
10 Working with Named Tuples in Python
11 Exploring Deques in Python
12 Python: A Guide to For and While Loops
13 Python: A Guide to Functions
14 Python: A Guide to Lambda Functions
15 Introduction to Classes in Python
16 Introduction to Python Modules and Libraries
17 Handling Exceptions in Python
18 Conditional Statements in Python
19 Disassembling Python Bytecode with the dis Library
20 Datetime Manipulation in Python
21 Using tomllib for Configuration in Python
22 Exploring the os Library With Python
23 Exploring API Requests in Python with the Official Joke API
24 Exploring Alice in Wonderland through Text Files in Python
25 Embracing the Zen of Python: A Guide to Pythonic Programming
26 Exploring the Antigravity Library in Python
27 Working with CSV Files in Python
28 Python Script Structure
29 Introduction to Logging in Python
30 Understanding Dataclasses in Python
31 Understanding the map Function in Python
32 Exploring (Some) Python Integrated Development Environments
33 Conversions in Python
34 Working with XlsxWriter in Python
35 Fortanix Library: Authentication and Security Object Retrieval
36 Interacting with SFTP Repositories: A Paramiko Integration
37 Exploring SharePoint with Microsoft Graph API
原文链接：Exploring API Requests in Python with the Official Joke API
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