📅 2023-01-12 — Session: Enhanced Python scripting with argparse and Jupyter
🕒 12:25–12:45
🏷️ Labels: Python, Argparse, Jupyter, Ipywidgets, Scripting, Interactive
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to improve Python scripting capabilities by exploring argparse for command-line argument parsing and enhancing Jupyter notebook interactivity.
Key Activities:
- Response to User Inquiry: Provided assistance and encouraged further questions, fostering a supportive user interaction environment.
- Argparse Review: Reviewed and suggested improvements for a Python code snippet using argparse, focusing on structure and default values.
- Data Processing Script: Demonstrated a Python script utilizing argparse for processing data over specified years, with default values and help messages.
- Running Jupyter Notebooks: Explained how to execute Jupyter notebooks from the command line using
jupyterandnbconvertfor format conversion. - User Input in Jupyter: Showcased how to prompt for user input in Jupyter notebooks using the
input()function, including validation techniques. - Introduction to ipywidgets: Introduced ipywidgets for creating interactive widgets in Jupyter notebooks, with examples of various widget types.
Achievements:
- Enhanced understanding of argparse for command-line scripting.
- Improved techniques for running and interacting with Jupyter notebooks.
Pending Tasks:
- Further exploration of advanced ipywidgets functionalities for richer interactivity in Jupyter notebooks.