📅 2023-04-20 — Session: Developed and Corrected Python Data Extraction Code
🕒 22:40–23:15
🏷️ Labels: Python, Data Extraction, Code Correction, Data Management
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The main goal of this session was to develop and correct Python code snippets for extracting values from strings in a list, focusing on data extraction and processing techniques.
Key Activities
- Developed initial Python code snippets to extract values following the ‘Nombre: ’ label from a list of strings using for loops and string manipulation.
- Corrected and refined the code to improve accuracy and efficiency, ensuring the extracted values are stored in a new list.
- Explored techniques for identifying minimal composite keys in datasets to ensure data integrity.
- Implemented methods to identify minimal subsets of columns for data deduplication using Python and Pandas.
- Demonstrated how to find intersections between DataFrame columns and predefined lists using Pandas.
Achievements
- Successfully developed and corrected Python code for extracting values from strings, demonstrating practical data parsing and processing solutions.
- Clarified the process of identifying minimal composite keys and subsets for data deduplication, enhancing data management skills.
Pending Tasks
- Further exploration of advanced data manipulation techniques and optimization of existing code snippets for better performance.