Developed Python scripts for Twitter follower management

• Day: 2023-01-14
• Time: 21:20 to 22:20
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Tweepy, File Management, Automation, Twitter Api

Description

Session Goal: The session aimed to develop Python scripts to manage Twitter followers efficiently using the Tweepy library. The focus was on file management, automation, and ensuring data integrity.

Key Activities:

• Implemented a Python function to write follower data to a file with a line limit to prevent file overflow.
• Created a function to retrieve and save followers of users from a ‘followers_list’ to a ‘fu_candidates’ file using Tweepy.
• Developed a function to write unique followers to a file, avoiding duplicates by using a set.
• Modified a function to follow users based on their follower count and organized user information into different files.
• Implemented a script to follow users with a follower count between 1000 and 10000, categorizing them based on follow status.
• Added functionality to remove processed lines from a file using the linecache and os libraries.

Achievements: Completed the development of several Python functions for managing Twitter followers, including writing, following, and organizing followers based on specific criteria.

Pending Tasks:

• Test the developed scripts in a live environment to ensure they function as expected.
• Refactor code for efficiency and readability if necessary.

Evidence

• source_file=2023-01-14.sessions.jsonl, line_number=1, event_count=0, session_id=3737a04e2019e05b80c0543c09600103d78a7bcbb9df905f53cc7ae5ba572363
• event_ids: []