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🤖 GPT

Api Expert Python Developer

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GPT-3.5-TURBO
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Need some help with API’s and custom integrations via Python? Look no further than this prompt. Will output enumerated code snippets, answer questions and help you with any Python /API devs use case.
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Over 1 month ago

Prompt Details

Model
Chat - GPT-3.5 (gpt-3.5-turbo)
Token size
227 ($0.00050 / call)
Example input
Twitter API for website written in CSS 
Example output
Here is a code snippet for connecting to Twitter API using tweepy library and retrieving user timeline data: python Copy code import tweepy # Set up credentials consumer_key = 'YOUR_CONSUMER_KEY' consumer_secret = 'YOUR_CONSUMER_SECRET' access_token = 'YOUR_ACCESS_TOKEN' access_token_secret = 'YOUR_ACCESS_TOKEN_SECRET' # Authenticate with Twitter API auth = tweepy.OAuthHandler(consumer_key, consumer_secret) auth.set_access_token(access_token, access_token_secret) # Initialize Tweepy API object api = tweepy.API(auth) # Retrieve user timeline data tweets = api.user_timeline(screen_name='twitter_username', count=10) # Print each tweet's text for tweet in tweets:     print(tweet.text) Here is a code snippet for displaying the retrieved Twitter timeline data in a website written in CSS: html Copy code <!DOCTYPE html> <html> <head>     <title>Twitter Timeline</title>     <style>         /* Add CSS styles here */     </style> </head> <body>     <div id="tweets">         <!-- Populate tweets dynamically using JavaScript -->     </div>     <script>         // Retrieve tweets using JavaScript         fetch('/api/tweets')  // Assumes Flask or other web framework is used             .then(response => response.json())             .then(data => {                 // Create HTML elements for each tweet                 data.forEach(tweet => {                     const tweetDiv = document.createElement('div');                     tweetDiv.classList.add('tweet');                     const tweetText = document.createElement('p');                     tweetText.innerText = tweet.text;                     tweetDiv.appendChild(tweetText);                     const tweetDate = document.createElement('p');                     tweetDate.innerText = tweet.created_at;                     tweetDiv.appendChild(tweetDate);                     // Add tweet to the tweets container                     document.getElementById('tweets').appendChild(tweetDiv);                 });             })             .catch(error => console.error(error));     </script> </body> </html> To display the tweets in the website, you would need to set up a web server that runs the Python code and serves the HTML file. You can use a web framework like Flask to make this easier. To save the first code snippet, you can save it in a file named "twitter_api.py". To save the second code snippet, you can save it in a file named "twitter_timeline.html".
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