📅 2025-07-05 — Session: Data Manipulation and Analysis with Python
🕒 18:50–19:00
🏷️ Labels: Python, Data Manipulation, Excel, Pandas, Crypto
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The objective of this session was to explore and implement various data manipulation and analysis techniques using Python, specifically focusing on financial data and Excel file operations.
Key Activities
- Python Imports: Utilized essential Python libraries such as pandas, json, os, textwrap, math, and functools for data manipulation and processing tasks.
- File Existence Check: Implemented a script to verify the existence of an Excel file containing crypto history using the os module.
- Excel File Loading: Demonstrated loading an Excel file with pandas to retrieve sheet names and data into a DataFrame.
- Data Parsing and Analysis: Developed functions to parse amounts and currencies from strings, applied these to DataFrame columns, and summarized spending amounts by currency.
- Data Analysis Techniques: Counted rows, parsed dates, calculated total fees, and computed average prices from DataFrame data.
- Binance Data Ingestion: Conducted an overview of Binance ‘Buy Crypto’ data ingestion, including health checks and mapping to a transaction schema.
Achievements
- Successfully loaded and manipulated Excel data using pandas.
- Implemented parsing functions for financial data, enhancing data processing capabilities.
- Completed a preliminary analysis of Binance crypto data, setting the stage for further integration.
Pending Tasks
- Further extend the Binance data ingestion process to cover additional transaction types and refine the parser based on the pseudo-code provided.
- Continue exploring advanced data manipulation techniques for more complex datasets.