
Download and install Python 3.8.2 on Windows, map environment variables and path for Python and scripts, then verify with Python or py in command prompt for automating Twitter with Tweepy.
Install pip and configure Python libraries to extend automation, data work, and machine learning by following steps to download get-pip.py and run the installer.
Set up Anaconda and Jupyter to write and run Python code for building a bot, using the Anaconda distribution, the Python server, and Jupyter notebooks.
Explore using Jupyter notebooks to write and test Python code, manage cells and variables, run code interactively, and export notebooks as Python scripts for execution.
Learn how to set up a Twitter account by signing up, verifying with a phone code, and creating a password to start tweeting.
Set up your Twitter developer account and create a basic app to explore the Twitter API for educational automation with Python, following sign-up steps and the verification process.
Create a basic Twitter app to obtain the required keys and tokens for authentication, then configure name, description, website, terms, and privacy policy. Copy and secure the four tokens.
Install tweepy in a Jupyter notebook, configure the API keys, and post your first tweet via the Twitter API update_status, demonstrating end-to-end automation in Python.
Learn to search tweets with the Twitter API using Tweepy by querying a keyword like Python, limiting results to 10, and printing the JSON-formatted results.
Update your code to like a tweet using its id with the API's create_favorite call, verify by visiting the tweet, and learn to unlike it in seconds.
Learn to implement retweeting in Python using Tweepy by adapting the favorite code to call the retweet function, run the script, and see a tweet retweeted.
Learn to fetch a user's followers with Python and Tweepy, loop through the follower list, extract screen names, and print them to understand building a Twitter bot workflow.
Identify what's trending on Twitter by querying the API with trends_place, looping through the results, and printing each trend name, enabling quick trend discovery and future sentiment analysis.
Build a python-based twitter automation bot that finds users, follows them, and likes and retweets their tweets, using hashtag and trending topic searches.
Learn how to Automate Twitter using Python, Tweepy And the Twitter API. Using the most popular programming language (Python) we cover the basics from set up to creating your first bot! A class for all levels and hobbyist in Python Automation.
In this class we cover...
Signing up for Twitter and the Developer
Setting up Python and Tweepy
Programatically working with Twitter (Search, Trends, Like, Follow, Retweet, and More)
Build a Simple bot to Find and Like Tweets for a specific keyword