
Amit Bhattarai containerized an HTML table extractor script for the professor-jon-white/COSC_352_FALL_2025 repository, focusing on deployment consistency and ease of use. He developed a Dockerfile based on a Python image, integrated the existing Python script for HTML parsing and CSV handling, and set up a default entrypoint to streamline execution. Amit also authored a comprehensive README to guide users through building and running the container, addressing reproducibility and onboarding challenges. This work provided a portable, environment-agnostic solution for web scraping tasks, demonstrating a solid grasp of Docker, Python, and HTML parsing while delivering a focused, well-documented engineering contribution.

September 2025: Key feature delivered in COSC_352_FALL_2025 repository by containerizing the HTML table extractor. Implemented a Docker container around the existing Python script, including a Dockerfile based on a Python image, script copy, and a default entrypoint. Added a README with clear build and run instructions to deploy and use the container. This work enhances deployment portability, reproducibility, and onboarding for developers and evaluators.
September 2025: Key feature delivered in COSC_352_FALL_2025 repository by containerizing the HTML table extractor. Implemented a Docker container around the existing Python script, including a Dockerfile based on a Python image, script copy, and a default entrypoint. Added a README with clear build and run instructions to deploy and use the container. This work enhances deployment portability, reproducibility, and onboarding for developers and evaluators.
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