Developed Progressive Python and Pandas Exercises

• Day: 2025-03-10
• Time: 07:05 to 09:00
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Pandas, Education, Exercises, Programming

Description

Session Goal: The session aimed to develop a structured set of exercises for beginners in Python and Pandas, focusing on foundational programming concepts and data manipulation skills.

Key Activities:

• Designed beginner-friendly Python exercises covering basic concepts to executable programs, including a ‘Geringoso’ translator and debugging tasks.
• Improved existing exercises to enhance learning, focusing on alternative approaches like using sums instead of multiplication.
• Developed a coherent strategy for progressive Python exercises that reinforce learning through functions, classes, and executable scripts.
• Created exercises targeting common beginner errors in Python, providing solutions and code examples.
• Proposed a new structure for teaching Pandas, dividing exercises into blocks covering fundamentals, indexing, data combination, and aggregation.
• Implemented practical exercises for data conversion using Pandas and accessing Google Sheets via Google Cloud.

Achievements:

• Successfully structured a comprehensive set of exercises for teaching Python and Pandas, ensuring progressive learning.
• Addressed common beginner errors with practical solutions, enhancing the educational experience.
• Developed exercises that integrate cloud computing skills with data manipulation, broadening the learning scope.

Pending Tasks:

• Further refinement of exercises to include more advanced topics and real-world applications.
• Integration of exercises into a cohesive curriculum for consistent educational delivery.

Evidence

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• event_ids: []