Developed Python Scripts for Financial Data Handling

• Day: 2025-07-05
• Time: 18:50 to 19:00
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Handling, Financial Data, Excel, Pandas

Description

Session Goal

The session aimed to develop and refine Python scripts for handling and processing financial data, particularly focusing on data retrieval, manipulation, and export.

Key Activities

• Structured queries for retrieving financial data, focusing on key attributes like date, asset, amount, and price.
• Implemented Python import statements for libraries such as pandas, json, os, textwrap, and sys, essential for data manipulation and processing.
• Checked file existence for crypto history export using Python’s os.path.exists method.
• Loaded Excel files and retrieved sheet names using pandas, and read data into DataFrames for analysis.
• Utilized the OpenPyXL library for Excel file manipulation, including loading workbooks and extracting data.
• Developed parsing guidelines for Binance transaction files to standardize data for financial tracking.

Achievements

• Successfully set up the environment for data handling with necessary Python imports.
• Established a workflow for loading and manipulating Excel data using pandas and OpenPyXL.
• Created a structured approach for parsing Binance transaction data.

Pending Tasks

• Further testing and validation of the parsing scripts for different data sets.
• Integration of the developed scripts into a larger data processing pipeline for automated financial reporting.

Evidence

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• event_ids: []