📅 2024-01-07 — Session: Enhanced Financial Data Processing with Python
🕒 00:35–23:40
🏷️ Labels: Python, Financial Analysis, Currency Conversion, Google Sheets
📂 Project: Accounting
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance financial data processing capabilities using Python, focusing on currency conversion, data loading, and financial analysis.
Key Activities
- Modification of
add_balanceFunction: Enhanced the function to handle multiple currencies, ensuring accurate running balances. - ARS Value Conversion: Implemented a method to convert historical ARS values using IPC data.
- Currency Conversion in DataFrame: Updated ARS currency values in a DataFrame for a specified target date.
- Weekly Balance Calculation: Developed a Python script to calculate weekly balances for accounts.
- Google Sheets Integration: Loaded data using
gspread, created a Google Cloud service account, and resolved common access errors. - Data Cleaning with Pandas: Addressed empty cell issues in Google Sheets data when converting to floats.
- Three-Way Accounting Balance: Implemented a method for calculating balances between three parties.
- Debt Cancellation Plan: Structured a plan for debt cancellation among family members.
Achievements
- Successfully modified and implemented financial functions for currency conversion and balance calculations.
- Established a reliable method for loading and processing data from Google Sheets.
- Developed a comprehensive plan for managing and canceling family debts.
Pending Tasks
- Further testing and validation of the currency conversion functions.
- Optimization of the Google Sheets data loading process to handle larger datasets efficiently.