🕒 06:25–06:40
🏷️ Labels: Command Line, Grep, File Search, Python, Data Processing
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The aim of this session was to explore and utilize command line tools, specifically find and grep, for efficient file searching and data processing tasks.

Key Activities:

  • File Searching with find and grep: Explored how to use the find command in conjunction with grep to locate files containing specific substrings in their names. Provided practical examples of command syntax.
  • Function Definition Search: Demonstrated the use of grep to search for specific function definitions within files, including recursive searching and excluding binary files.
  • Specific File Type Search: Showcased the use of grep with the -E option for extended regular expressions and the --include flag to search within .ipynb and .py files.
  • Data Processing Code Comparison: Compared two versions of code for computing the TimePeriod column, highlighting differences and suggesting reconciliation methods.
  • Code Modification for TimePeriod: Provided a modified code snippet for calculating the TimePeriod column in a DataFrame, retaining an alternative method for min/max year computation.

Achievements:

  • Successfully demonstrated and documented methods for using command line tools for file searching.
  • Clarified differences in data processing code versions and provided a modified solution for TimePeriod calculation.

Pending Tasks:

  • Further testing of the modified TimePeriod calculation method to ensure accuracy and efficiency in different datasets.