Analyzed Jupyter Notebooks for Data Processing

Day: 2026-03-26
Time: 11:40 to 11:45
Project: Dev
Workspace: WP 2: Operational
Status: In Progress
Priority: MEDIUM
Assignee: Matías Nehuen Iglesias
Tags: Python, Jupyter, Data Processing, Web Scraping

Description

Session Goal: The session aimed to analyze and manage Jupyter Notebooks related to data processing and extraction tasks.

Key Activities:

Checked the existence of various Jupyter Notebook files in a specified directory.
Executed a Python script to verify the presence of specific files and printed the results.
Provided an overview of Python scripts related to data acquisition, connectors, pipelines, storage, and transformations.
Loaded Jupyter notebook files to extract and analyze code cells, functions, and import statements.
Iterated through notebooks to print source code of cells containing keywords for data processing and web scraping.
Outlined queries for processing pages, extracting profile links, and scraping data from social media platforms.
Analyzed legacy features of SIU and Explorer systems for migration strategies.

Achievements:

Successfully identified and extracted key functions and imports from Jupyter notebooks.
Developed scripts to load and analyze notebook cells for data processing insights.
Formulated a strategy for migrating valuable legacy features from SIU and Explorer systems.

Pending Tasks:

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