📅 2023-05-02 — Session: Enhanced Python Script for Jupyter Notebook Conversion
🕒 18:00–18:55
🏷️ Labels: Python, Jupyter, Code Formatting, Regex, File Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary aim of this session was to enhance a Python script for converting code files into Jupyter notebook format, ensuring proper formatting and handling of cell indicators.
Key Activities
- Developed a comprehensive guide on SQL basics, covering database creation, table management, and data operations.
- Modified Python scripts to ensure an empty line precedes each
# %%cell indicator, enhancing readability for Jupyter notebook conversion. - Updated regex patterns to correctly handle newline characters before cell indicators.
- Implemented scripts to read, modify, and save Python files as Jupyter notebooks, ensuring correct formatting for markdown and code cells.
- Debugged and fixed issues related to newline handling and regex patterns.
Achievements
- Successfully created and tested Python scripts that automate the conversion of Python files into Jupyter notebooks, ensuring proper formatting and handling of cell indicators.
- Clarified the use of conditional statements, specifically the
notoperator, for efficient code parsing.
Pending Tasks
- Further testing of the regex patterns in diverse coding environments to ensure robustness.
- Exploration of additional features for enhancing the Jupyter notebook conversion process.