
In October 2025, Linh Hoang developed and refined the Wayback Machine scraping lesson for the programminghistorian/ph-submissions repository, focusing on content creation and documentation to enhance accessibility and learner comprehension. Linh introduced an HTML banner ad explorer and a Python Jupyter notebook, integrating web scraping and data analysis techniques to provide practical, hands-on learning assets. The work emphasized maintainability by modernizing documentation and aligning course files with updated lesson goals. Using Python, HTML, and technical writing skills, Linh ensured that the instructional materials were clear and accessible, addressing both the technical and pedagogical needs of digital humanities learners.

October 2025 monthly summary for developer work in programminghistorian/ph-submissions focused on delivering and refining the Wayback Machine scraping lesson content. Primary efforts centered on content creation, asset development, and documentation improvements to improve accessibility and learner comprehension. No major bug fixes were reported this period; the work emphasized feature delivery and maintainability.
October 2025 monthly summary for developer work in programminghistorian/ph-submissions focused on delivering and refining the Wayback Machine scraping lesson content. Primary efforts centered on content creation, asset development, and documentation improvements to improve accessibility and learner comprehension. No major bug fixes were reported this period; the work emphasized feature delivery and maintainability.
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