Data Science and Python Programming Exercises

📅 2025-03-20 — Session: Data Science and Python Programming Exercises

🕒 06:00–06:10
🏷️ Labels: Data Science, Python, Exercises, String Manipulation, Audio Testing
📂 Project: Teaching
⭐ Priority: MEDIUM

Session Goal

The session aimed to explore various programming exercises and concepts within Data Science and Python programming.

Key Activities

• Discussed the importance of efficiency in searching elements within lists and suggested using data structures like sets for faster search in large datasets.
• Explored a Python function mas_larga to compare the lengths of two lists, useful for handling different datasets in Data Science.
• Demonstrated string manipulation in Python through the mezclar function, which interleaves characters of two strings.
• Provided a practical coding solution for interleaving two strings character by character.
• Suggested testing functionality with audio content as a hands-on approach to evaluate functionality.
• Illustrated an audio transcription example of mixing names using a function call.
• Explained the interleaving of strings using a function with examples.
• Conducted a financial simulation exercise to teach basic financial concepts through mortgage payment simulations.
• Introduced a ‘geringoso’ translator exercise to practice string manipulation and dictionary usage in Python.
• Discussed preparatory exercises for class that combine key concepts and skills.

Achievements

• Successfully explored and documented multiple exercises and programming concepts in Data Science and Python.

Pending Tasks

• Further testing and refinement of the exercises and examples provided during the session.