📅 2023-11-06 — Session: Developed HTML and Python scripts for data management
🕒 21:10–22:20
🏷️ Labels: Google Cloud, HTML, Python, Data Management
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session focused on developing scripts and HTML structures to manage data uploads to Google Cloud Storage and organize statistical data for easy access.
Key Activities:
- Created a script to upload files to Google Cloud Storage using
gsutil, ensuring no overwrites by checking file existence first. - Introduced datasets of descriptive statistics in Argentina, emphasizing their importance for research and policy-making.
- Developed HTML table structures for organizing statistical data downloads, including demographic datasets.
- Provided a troubleshooting guide for bold text issues in HTML due to CSS.
- Updated an HTML menu to include a new ‘Descargas’ section for statistical data.
Achievements:
- Successfully implemented a Python script for automated file uploads to Google Cloud Storage.
- Established a clear HTML structure for data download tables, improving user navigation and usability.
Pending Tasks:
- Replace placeholder URLs in HTML tables with actual download links.