Developed Python functions for data extraction and processing

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📅 2023-01-04 — Session: Developed Python functions for data extraction and processing

🕒 20:15–23:55
🏷️ Labels: Python, Data Processing, File Handling, Code Optimization, Pandas
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to develop and optimize Python functions for data extraction and processing tasks, specifically focusing on file handling, DataFrame operations, and geospatial data processing.

Key Activities

  • Discussed Python code related to file search and error handling.
  • Implemented a search function to find strings within files and handle errors.
  • Developed a function to search strings in text files and store results in a Pandas DataFrame.
  • Extracted arguments from pd.read_csv and gpd.read_file using regular expressions.
  • Created a boolean series in DataFrames to detect comments.
  • Provided instructions for selecting cells in Pandas DataFrames in VS Code.
  • Listed GeoJSON files using the os module and demonstrated file searching with the glob module.
  • Calculated zonal statistics for GeoJSON files and provided code optimization suggestions.

Achievements

  • Successfully implemented and optimized multiple Python functions for data extraction and processing.
  • Enhanced code efficiency and readability using list comprehensions and the groupby method.
  • Improved file handling techniques with the os and glob modules.

Pending Tasks

  • Further optimize the zonal statistics calculation script for better performance.
  • Explore additional code optimization techniques for large-scale data processing tasks.

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