📅 2023-03-07 — Session: Enhanced Python Web Scraping and Data Handling
🕒 13:15–17:15
🏷️ Labels: Python, Web Scraping, Data Handling, Code Improvement
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to improve and expand Python web scraping capabilities and data handling techniques.
Key Activities
- Discussed the importance of data policies in university collaborations, emphasizing ethics, privacy, and security.
- Outlined steps for building web scrapers using Python, focusing on key libraries and data extraction techniques.
- Provided code improvement suggestions for web scraping scripts, enhancing readability, error handling, and modularity.
- Updated a web scraping script for concursos, improving variable naming and error handling.
- Recommended enhancements for DataFrame manipulation code, focusing on readability and functionality.
- Suggested improvements for constructing Google search URLs in Python scripts, emphasizing efficiency and modularity.
- Resolved an error with the
itertuples()method in Pandas by including the index column. - Developed a Python script using BeautifulSoup and requests to scrape thesis data, extracting detailed information.
- Improved error handling in a data scraping function using try-except blocks.
Achievements
- Enhanced web scraping scripts with better error handling and modularity.
- Improved data handling techniques in Python, particularly with Pandas.
Pending Tasks
- Further refine the web scraping scripts for additional data sources.
- Explore advanced data policy frameworks for broader application.