professor-jon-white/COSC_352_FALL_2025
Sep 2025 – Oct 2025
2 Months active
Languages Used
DockerfileHTMLPythonBash
Technical Skills
Code OrganizationData ConversionData ParsingDockerFile I/OFile Management
Chinonsocheq21
PROFILE
Chinonsocheq21
Over a two-month period, contributed to the professor-jon-white/COSC_352_FALL_2025 repository by developing automated data extraction tools and improving project structure. Built a Python-based HTML table to CSV converter, containerized with Docker to ensure reproducible workflows and consistent execution across environments. Enhanced repository organization and documentation, streamlining onboarding and future maintenance. In the following month, implemented a Bash script that automates downloading webpages, extracting tables into CSV files using the Dockerized converter, and packaging results for distribution. Focused on robust error handling and cross-platform compatibility, leveraging Python, Bash, and Docker to deliver maintainable, scalable solutions for data processing pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
17,360
Activity Months2
Your Network
39 peopleSame Organization
@techexchange.in1
Shared Repositories
38
Aayush ShresthaMember
Amit BhattaraiMember
Amit BhattaraiMember
Amit BhattaraiMember
Kyndal MaclinMember
Brian BridgeforthMember
ClydingMember
chbro-97Member
Crystal-cokeMember
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 (COSC_352_FALL_2025): Delivered an automated webpage-to-CSV pipeline leveraging a Bash script and a Docker-based table extraction workflow. The solution downloads HTML content, runs a containerized table extractor to generate CSVs, assigns unique output names, and packages results as a ZIP for distribution. Implemented robust error handling for missing arguments and Docker image build steps. No major bugs were reported this month; focus remained on delivering a repeatable data-processing primitive that scales across environments and supports the course's data pipeline needs.
1 Commits • 1 Features
Oct 1, 2025October 2025 (COSC_352_FALL_2025): Delivered an automated webpage-to-CSV pipeline leveraging a Bash script and a Docker-based table extraction workflow. The solution downloads HTML content, runs a containerized table extractor to generate CSVs, assigns unique output names, and packages results as a ZIP for distribution. Implemented robust error handling for missing arguments and Docker image build steps. No major bugs were reported this month; focus remained on delivering a repeatable data-processing primitive that scales across environments and supports the course's data pipeline needs.
October 2025
September 2025
5 Commits • 1 Features
Sep 1, 2025In Sep 2025, delivered a containerized HTML table to CSV converter for the COSC_352_FALL_2025 project, with substantial repository structure and documentation improvements. The work enables reproducible data extraction workflows, easier onboarding, and a clearer path for future enhancements. Key outcomes include a Python-based converter, sample inputs/CSV data, README coverage, and Docker support to run the tool in a consistent environment. Additionally, repository hygiene improvements reduce maintenance overhead and branch confusion, setting a solid baseline for ongoing course tooling.
September 2025
5 Commits • 1 Features
Sep 1, 2025In Sep 2025, delivered a containerized HTML table to CSV converter for the COSC_352_FALL_2025 project, with substantial repository structure and documentation improvements. The work enables reproducible data extraction workflows, easier onboarding, and a clearer path for future enhancements. Key outcomes include a Python-based converter, sample inputs/CSV data, README coverage, and Docker support to run the tool in a consistent environment. Additionally, repository hygiene improvements reduce maintenance overhead and branch confusion, setting a solid baseline for ongoing course tooling.
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashDockerfileHTMLPython
Technical Skills
CSV ProcessingCode OrganizationData ConversionData ParsingDockerFile I/OFile ManagementHTML ParsingProject OrganizationPython DevelopmentPython ScriptingRefactoringShell ScriptingWeb Scraping
Repositories Contributed To
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