Developed financial data manipulation and integration scripts

📅 2024-01-07 — Session: Developed financial data manipulation and integration scripts

🕒 00:30–23:40
🏷️ Labels: Python, Google Sheets, Currency Conversion, Financial Analysis, Data Integration
📂 Project: Accounting
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance financial data manipulation capabilities by developing Python scripts for currency conversion, financial analysis, and integration with Google Sheets.

Key Activities

• Modified the add_balance function to handle multiple currencies within a unified DataFrame, ensuring accurate running balance calculations.
• Developed a method to convert historical ARS values using the IPC dataset, implementing a Python function for currency conversion.
• Implemented ARS currency conversion in a DataFrame and updated currency values based on a target date.
• Explored financial data analysis techniques, including weekly balances, cash flow, and spending analysis.
• Calculated weekly balances for accounts using Python and Pandas.
• Formalized a family accounting scheme to manage transactions and plan debt cancellation.
• Loaded data from Google Sheets into Python using the gspread library, including setting up Google Cloud credentials and resolving common errors.
• Addressed issues with empty cells in Google Sheets data using pandas for data cleaning.
• Calculated three-way accounting balances and developed a debt cancellation plan among family members.

Achievements

• Successfully modified and implemented functions for handling multiple currencies and converting ARS values.
• Established methods for integrating Google Sheets data into Python workflows, resolving access and error issues.
• Developed comprehensive financial analysis and accounting scripts to manage and analyze family financial data.

Pending Tasks

• Further refinement of financial analysis techniques and integration scripts may be needed to enhance accuracy and efficiency.