Developed HTML and Python scripts for data management

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📅 2023-11-06 — Session: Developed HTML and Python scripts for data management

🕒 21:10–22:20
🏷️ Labels: HTML, Python, Google Cloud, Data Management, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance data management capabilities by developing scripts for uploading files to Google Cloud Storage and organizing HTML tables for data downloads.

Key Activities

  • Created a Python script for uploading files to Google Cloud Storage, ensuring no overwriting by using the gsutil -n flag.
  • Developed HTML templates for organizing tables with download links for statistical datasets, focusing on usability and categorization by demographic and geographic data.
  • Addressed CSS issues related to bold text in HTML, providing a troubleshooting guide.
  • Updated HTML menu to include a new ‘Descargas’ section with links to relevant datasets.

Achievements

  • Successfully implemented a Python script for efficient file uploads to Google Cloud.
  • Designed HTML structures for improved data download navigation and usability.
  • Resolved CSS styling issues affecting text appearance in HTML.

Pending Tasks

  • Replace placeholders in HTML download links with actual URLs.
  • Further test the Python script under different scenarios to ensure robustness.

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