Developed Python Scripts for Financial Data Handling

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📅 2025-07-05 — Session: Developed Python Scripts for Financial Data Handling

🕒 18:50–19:00
🏷️ Labels: Python, Data Handling, Financial Data, Excel, Pandas
📂 Project: Dev
⭐ Priority: MEDIUM

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.

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