📅 2025-07-05 — Session: Implemented data processing techniques in Python
🕒 18:55–19:00
🏷️ Labels: Python, Data Processing, File Handling, Pandas, Subprocess
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to implement various data processing techniques using Python, focusing on file handling, data manipulation, and subprocess management.
Key Activities
- Python Imports: Set up import statements for essential libraries such as pandas, os, json, textwrap, math, and re, which are crucial for data processing tasks.
- File Handling: Demonstrated checking file existence using Python’s os module.
- Data Manipulation: Loaded an Excel file into a pandas DataFrame and read HTML tables into DataFrames, showcasing data import techniques.
- Subprocess Management: Provided a code snippet for managing subprocesses, including JSON handling and text wrapping.
- Library Installation: Installed the xlrd library for reading Excel files.
Achievements
- Successfully set up the environment for data processing with necessary imports and library installations.
- Demonstrated practical examples of file handling and data manipulation using pandas.
Pending Tasks
- Further exploration of advanced data manipulation techniques and subprocess management in Python.