Integrated Google Colab with Visual Studio Code

📅 2023-04-16 — Session: Integrated Google Colab with Visual Studio Code

🕒 21:40–22:40
🏷️ Labels: Google Colab, Visual Studio Code, Python, Data Processing, Integration
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to explore and implement techniques for integrating Google Colab with Visual Studio Code to enhance coding workflows.

Key Activities

• Discussed the features of Google Colab and Visual Studio Code, focusing on extensions that facilitate their integration.
• Provided a step-by-step guide on processing CSV files using the pandas library in Python, including selecting specific columns with the usecols argument.
• Demonstrated how to loop through multiple CSV files to extract specific columns and handle data processing using pandas.
• Addressed common errors such as TypeError when converting lists to sets in Python, providing solutions for error handling.
• Utilized regular expressions to extract roots from variable names in CSV files, ensuring error handling for non-matching variables.
• Implemented Python scripts to filter and save specific columns from CSV files based on defined criteria, automating the data processing workflow.

Achievements

• Successfully integrated Google Colab with Visual Studio Code, enhancing the coding workflow.
• Developed robust Python scripts for CSV data processing, including filtering and saving datasets.
• Resolved common coding errors and improved error handling in data extraction tasks.

Pending Tasks

• Further exploration of advanced integration techniques between Google Colab and Visual Studio Code.
• Optimization of regex patterns for more efficient data extraction from CSV files.