Developed HTML and Python scripts for data management

• Day: 2023-11-06
• Time: 21:10 to 22:20
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: HTML, Python, Google Cloud, Data Management, Automation

Description

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.

Evidence

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• event_ids: []