Developed Python scripts for Jupyter Notebook conversion

2 min read

📅 2023-05-01 — Session: Developed Python scripts for Jupyter Notebook conversion

🕒 18:40–19:45
🏷️ Labels: Python, Jupyter, NLP, Data Processing, Regex
📂 Project: Teaching
⭐ Priority: MEDIUM

Session Goal

The session aimed to develop and refine Python scripts for converting plain text and Python scripts into Jupyter Notebook format. This involved processing audio, video, and text data, and creating practical exercises for students.

Key Activities

  • Reviewed and summarized the fourth class of a data processing course, focusing on audio, video, and natural language processing (NLP).
  • Developed practical exercises using Python libraries such as librosa, OpenCV, and SpeechRecognition for audio and video processing.
  • Created guides for converting text into Jupyter Notebook format, including structuring Markdown and code cells.
  • Implemented Python scripts using regular expressions to parse and separate Markdown and code cells for Jupyter Notebooks.
  • Enhanced regex patterns to accurately identify cell indicators and remove extra symbols in Markdown cells.

Achievements

  • Successfully created and tested Python scripts that convert .py files into Jupyter Notebook format, preserving structure and content.
  • Developed practical exercises that apply data processing techniques in Python, providing valuable resources for students.

Pending Tasks

  • Further testing and refinement of the conversion scripts to handle edge cases and improve robustness.
  • Integration of additional NLP techniques into the practical exercises.

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