jarroncho/2024_python
Oct 2024 – Oct 2024
1 Month active
Languages Used
Python
Technical Skills
AutomationBeautifulSoupData ExtractionFile Path ManipulationPandasSelenium
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PROFILE
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During October 2024, Jarron Cho developed and maintained automation tools in the jarroncho/2024_python repository, focusing on data reliability and workflow efficiency. He built a Yahoo Finance stock data scraping tool using Python, Selenium, and BeautifulSoup, enabling automated extraction of stock prices, changes, and descriptions, with results persisted to Excel and a refresh mechanism for up-to-date reporting. Additionally, he addressed a file path issue in the Excel class, ensuring robust loading of grade_list.xlsx and preventing data access failures. Jarron’s work demonstrated practical application of web scraping, data extraction, and file path manipulation to streamline and automate reporting processes.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
114
Activity Months1
Your Network
27 people
Work History
October 2024
3 Commits • 1 Features
Oct 1, 20242024-10 monthly summary for jarroncho/2024_python: Two primary initiatives delivered, focusing on reliability and automation. 1) Excel Workbook Path Loading Fix improves data load reliability by correcting workbook path handling. 2) Yahoo Finance Stock Data Scraping Tool enables automated retrieval of prices, changes, and descriptions via Selenium/BeautifulSoup with persistence to Excel, including a refresh mechanism to ensure fresh data. Overall, enhanced data reliability, reduced manual effort, and faster, repeatable reporting pipelines.
3 Commits • 1 Features
Oct 1, 20242024-10 monthly summary for jarroncho/2024_python: Two primary initiatives delivered, focusing on reliability and automation. 1) Excel Workbook Path Loading Fix improves data load reliability by correcting workbook path handling. 2) Yahoo Finance Stock Data Scraping Tool enables automated retrieval of prices, changes, and descriptions via Selenium/BeautifulSoup with persistence to Excel, including a refresh mechanism to ensure fresh data. Overall, enhanced data reliability, reduced manual effort, and faster, repeatable reporting pipelines.
October 2024
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture80.0%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AutomationBeautifulSoupData ExtractionFile Path ManipulationPandasSeleniumWeb Scraping
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