Developed Python scripts for data parsing and extraction

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Developed Python scripts for data parsing and extraction

  • Day: 2026-01-10
  • Time: 23:00 to 23:10
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Python, Data Processing, JSON, Error Handling, Data Extraction

Description

Session Goal

The session aimed to develop and refine Python scripts for efficient data parsing, extraction, and manipulation, focusing on JSON Lines and structured data.

Key Activities

  • Implemented a Python script to read and parse JSON Lines files, handling errors gracefully and storing successful parses in a list.
  • Developed a method to extract and display the first ten names from a data structure, including their stages and paths.
  • Created a script to extract unique ‘stage’ and ‘name’ tuples, filtering for stages starting with ‘V’.
  • Extracted unique ‘stage’ values from a collection of dictionaries.
  • Utilized defaultdict for grouping data by ‘stage’ and counting items in each group.
  • Defined functions to list and sort artifacts by stage, and to stage items from a predefined structure.
  • Proposed a framework for aligning legacy financial balances with current machinery using pandas.

Achievements

  • Successfully developed multiple Python scripts for data parsing and extraction.
  • Enhanced understanding of data manipulation using Python’s collections and set operations.

Pending Tasks

  • Further testing and validation of the scripts in diverse data environments.
  • Integration of the proposed financial analysis framework into existing systems.

Evidence

  • source_file=2026-01-10.sessions.jsonl, line_number=5, event_count=0, session_id=a2879b467025fa0ec3c78d434ecdb6c56b2993ca388af09179b88a17fde1d6cd
  • event_ids: []

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