Global-rd/python_hu
Nov 2024 – Dec 2024
2 Months active
Languages Used
PythonSQLText
Technical Skills
API IntegrationCachingCode RefactoringData AnalysisData ExtractionData Fetching
Dankházi Péter
PROFILE
Dankházi Péter
During two months on the Global-rd/python_hu repository, Peter Dankházi developed and enhanced backend systems and data workflows using Python, FastAPI, and SQLAlchemy. He built a product management API with asynchronous CRUD operations over SQLite, enabling scalable and maintainable data access. Peter also implemented a car fleet management module with object-oriented design, a bank account core with robust validation, and a Streamlit-based weather application featuring data visualization and caching. Additionally, he created automated data extraction scripts for cryptocurrency and quotes, leveraging Selenium and Pandas for web scraping and CSV export. His work emphasized reliability, code hygiene, and clear separation of concerns.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
19Total
Bugs
1
Commits
19
Features
6
Lines of code
961
Activity Months2
Your Network
32 people
Work History
December 2024
4 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for Global-rd/python_hu focused on delivering foundational product data management capabilities and automated data collection workflows. Two key features were shipped with strong emphasis on business value, stability, and maintainability. Key features delivered: - Product Management API (FastAPI) with Async SQLAlchemy and CRUD endpoints over SQLite, including startup DB table creation and initial models. This enables rapid iteration on product data management with non-blocking IO and scalable data access. - Quotes scraping script using Selenium to retrieve quotes and top tags from quotes.toscrape.com, exporting results to CSV with pagination and basic error handling. Provides automated data collection for insights and content analysis. Major bugs fixed and cleanup: - API stabilization and cleanup after the initial version, including targeted fixes to increase reliability (commit 7c2f44a0c5a58d73071fe3a2a288fd7d2a4c26ac and 67a80e7b4b20af08e8b3ce83f6cd32c17965573f), and a minor cleanup to remove an unnecessary line (commit 23a333899666056b7e9c8116e68f875d7fbb891b). Overall impact and accomplishments: - Establishes a solid, reusable backend foundation for product data management and automated data collection, enabling faster feature delivery and data-driven decision making. - Clear separation of concerns between API backend and data ingestion scripts, improving maintainability and future extensibility. Technologies and skills demonstrated: - Python, FastAPI, Async SQLAlchemy, SQLite; asynchronous data access patterns and CRUD API design. - Selenium-based web scraping; error handling and CSV export. - Code hygiene: iterative commits with clear messages, incremental fixes, and small, reviewable changes.
4 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for Global-rd/python_hu focused on delivering foundational product data management capabilities and automated data collection workflows. Two key features were shipped with strong emphasis on business value, stability, and maintainability. Key features delivered: - Product Management API (FastAPI) with Async SQLAlchemy and CRUD endpoints over SQLite, including startup DB table creation and initial models. This enables rapid iteration on product data management with non-blocking IO and scalable data access. - Quotes scraping script using Selenium to retrieve quotes and top tags from quotes.toscrape.com, exporting results to CSV with pagination and basic error handling. Provides automated data collection for insights and content analysis. Major bugs fixed and cleanup: - API stabilization and cleanup after the initial version, including targeted fixes to increase reliability (commit 7c2f44a0c5a58d73071fe3a2a288fd7d2a4c26ac and 67a80e7b4b20af08e8b3ce83f6cd32c17965573f), and a minor cleanup to remove an unnecessary line (commit 23a333899666056b7e9c8116e68f875d7fbb891b). Overall impact and accomplishments: - Establishes a solid, reusable backend foundation for product data management and automated data collection, enabling faster feature delivery and data-driven decision making. - Clear separation of concerns between API backend and data ingestion scripts, improving maintainability and future extensibility. Technologies and skills demonstrated: - Python, FastAPI, Async SQLAlchemy, SQLite; asynchronous data access patterns and CRUD API design. - Selenium-based web scraping; error handling and CSV export. - Code hygiene: iterative commits with clear messages, incremental fixes, and small, reviewable changes.
December 2024
November 2024
15 Commits • 4 Features
Nov 1, 2024November 2024 performance summary for Global-rd/python_hu: Delivered robust features across fleet management, banking core, crypto data collection, and weather utilities; improved reliability with validations, tests, and dependency cleanup; enabled data-driven decisions and better user experience.
November 2024
15 Commits • 4 Features
Nov 1, 2024November 2024 performance summary for Global-rd/python_hu: Delivered robust features across fleet management, banking core, crypto data collection, and weather utilities; improved reliability with validations, tests, and dependency cleanup; enabled data-driven decisions and better user experience.
Activity
Loading activity data...
Quality Metrics
Correctness89.0%
Maintainability89.4%
Architecture87.4%
Performance84.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQLText
Technical Skills
API IntegrationAsync programmingAsynchronous ProgrammingCSV HandlingCachingCode CleanupCode RefactoringData AnalysisData ExtractionData FetchingData TransformationData VisualizationDatabase ManagementDatabase designDependency Management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline