📅 2023-04-16 — Session: Integrated Google Colab with VS Code and CSV Processing
🕒 21:40–22:40
🏷️ Labels: Google Colab, Visual Studio Code, Python, Pandas, Csv Processing, Regex
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore integration techniques between Google Colab and Visual Studio Code, and to enhance CSV file processing using Python’s pandas library.
Key Activities
- Integration Insight: Discussed the integration of Google Colab and Visual Studio Code, highlighting extensions that facilitate enhanced coding workflows.
- CSV Processing with Pandas: Provided a step-by-step guide and code snippets for reading and processing CSV files using pandas, focusing on selecting specific columns and looping through multiple files.
- Regex for Data Extraction: Demonstrated the use of regular expressions to extract roots from variable names in CSV files, including error handling and pattern modifications to ensure robustness.
- Data Manipulation: Showcased techniques for filtering and saving CSV data, converting roots to lowercase, and concatenating geographic columns in a DataFrame.
Achievements
- Successfully integrated Google Colab with Visual Studio Code for improved coding workflows.
- Developed robust Python scripts for CSV file processing, including error handling and regex-based data extraction.
Pending Tasks
- Further exploration of advanced integration features between Google Colab and Visual Studio Code.
- Optimization of CSV processing scripts for larger datasets.