π 2025-03-10 β Session: Developed Progressive Python and Pandas Exercises
π 07:05β09:00
π·οΈ Labels: Python, Pandas, Education, Exercises, Programming
π Project: Teaching
β Priority: MEDIUM
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 βGeringosoβ 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.