Data Extraction and Processing with Python

📅 2026-01-05 — Session: Data Extraction and Processing with Python

🕒 03:05–03:10
🏷️ Labels: Python, Data Processing, JSON, Pandas, File I/O
📂 Project: Dev

Session Goal: The session aimed to explore various techniques for data extraction and processing using Python, focusing on file handling, text processing, JSON data manipulation, and DataFrame creation.

Key Activities:

• Implemented a method to read text files with UTF-8 encoding using Python’s read_text method.
• Developed a technique to extract line count and the first line from a text file.
• Processed JSON data using Pandas to load and analyze data from a list of lines.
• Created a summary DataFrame from objects, extracting fields like block ID, mode, archetype, and target project IDs.
• Extracted project IDs and buckets from a data structure using Python code.
• Retrieved trigger rows from a pipeline object and iterated over objects to print specific properties.
• Utilized Python’s pprint and itertools libraries for pretty printing objects.
• Extracted target information from the substrate bootstrap tool and filtered projects based on blocker terms.

Achievements:

• Successfully demonstrated multiple data extraction and processing techniques using Python.
• Enhanced understanding of data manipulation with Pandas and JSON.

Pending Tasks:

• Further exploration of advanced data processing techniques and integration with other tools.