Explored Efficient Data Structures and Python String Manipulation

• Day: 2025-03-20
• Time: 06:00 to 06:10
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Data Science, Python, String Manipulation, Audio Testing, Financial Simulation

Description

Session Goal

The session aimed to explore efficient data structures for searching within lists and to practice Python string manipulation techniques.

Key Activities

• Discussed the importance of using efficient data structures like sets to enhance search speed in large datasets.
• Implemented a function mas_larga(lista1, lista2) to compare list lengths, useful for handling datasets.
• Developed a Python function mezclar to interleave characters from two strings, demonstrating string manipulation.
• Explored audio functionality testing by mixing names ‘Pepe’ and ‘Jose’ using Python functions.
• Conducted a financial simulation exercise to teach basic mortgage concepts, including the effect of extra payments.
• Engaged in a ‘geringoso’ translator exercise to practice string manipulation and dictionary usage.

Achievements

• Clarified the use of sets for efficient data searching.
• Successfully implemented and tested Python functions for string interleaving and list comparison.
• Completed a financial simulation exercise, enhancing understanding of mortgage payments.
• Practiced and understood ‘geringoso’ translation, enhancing Python skills.

Pending Tasks

• Further exploration of audio functionality testing in Python.
• Additional exercises to prepare for upcoming classes.

Evidence

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• event_ids: []