hubbleDJ/hubble_course
Oct 2024 – Jan 2025
4 Months active
Languages Used
Python
Technical Skills
Algorithm ImplementationBasic Programming ConceptsBasic PythonCode RefactoringFile ManagementPython
Настя
PROFILE
Настя
Anastasiya contributed to the hubbleDJ/hubble_course repository by developing and refining Python-based educational features, including lessons on algorithms, recursion, and data structures. She implemented robust utilities for list manipulation, factorial calculation, and bubble sort, emphasizing input validation and code maintainability. Her work included adding a Telegram bot module using aiogram to support interactive coursework, as well as improving function reliability by handling edge cases such as empty input. Anastasiya’s technical approach focused on clear example usage, type hints, and comprehensive testing, resulting in more reliable student exercises and streamlined validation workflows across the Python development and scripting environment.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
16Total
Bugs
3
Commits
16
Features
6
Lines of code
327
Activity Months4
Your Network
14 people
Work History
January 2025
1 Commits
Jan 1, 2025January 2025 – Delivered a targeted robustness improvement in hubbleDJ/hubble_course by adding empty-input handling to maxNumList and minNumList. The functions now return None when given an empty input, preventing downstream errors and providing predictable behavior in data processing pipelines.
1 Commits
Jan 1, 2025January 2025 – Delivered a targeted robustness improvement in hubbleDJ/hubble_course by adding empty-input handling to maxNumList and minNumList. The functions now return None when given an empty input, preventing downstream errors and providing predictable behavior in data processing pipelines.
January 2025
December 2024
4 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for hubbleDJ/hubble_course. Delivered three core features and improvements that enhance student learning workflows and code quality. Key features delivered: - Factorial Calculator Function and Input Handling: recursive factorial for non-negative integers with base cases 0 and 1; improved input validation and type hints to ensure safe, user-driven outputs. (Commits reference: add hw_2024-11-16, correct hw_2024-11-16) - Python List Manipulation Utilities: utilities for max/min in a list, sum of numbers, extracting even numbers, and counting numbers greater than a threshold with example usage. - Telegram Bot Module: added a new Telegram bot module (aiogram) file to the lesson directory (2024-12-14.py). Major bugs fixed: - Input validation robustness and typing fixes for the factorial feature, reducing edge-case errors and improving maintainability. Overall impact and accomplishments: - Expanded practical tooling for students and coursework automation, enabling reliable numerical operations, useful data transformations, and interactive bot-based coursework assistance. - Improvements contribute to faster homework validation, better correctness guarantees, and streamlined learning workflows. Technologies/skills demonstrated: - Python (recursion, input handling, type hints), data processing utilities, and aiogram-based Telegram bot development. - Strong emphasis on code quality, input validation, and clear example usage to aid adoption and reuse across assignments.
December 2024
4 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for hubbleDJ/hubble_course. Delivered three core features and improvements that enhance student learning workflows and code quality. Key features delivered: - Factorial Calculator Function and Input Handling: recursive factorial for non-negative integers with base cases 0 and 1; improved input validation and type hints to ensure safe, user-driven outputs. (Commits reference: add hw_2024-11-16, correct hw_2024-11-16) - Python List Manipulation Utilities: utilities for max/min in a list, sum of numbers, extracting even numbers, and counting numbers greater than a threshold with example usage. - Telegram Bot Module: added a new Telegram bot module (aiogram) file to the lesson directory (2024-12-14.py). Major bugs fixed: - Input validation robustness and typing fixes for the factorial feature, reducing edge-case errors and improving maintainability. Overall impact and accomplishments: - Expanded practical tooling for students and coursework automation, enabling reliable numerical operations, useful data transformations, and interactive bot-based coursework assistance. - Improvements contribute to faster homework validation, better correctness guarantees, and streamlined learning workflows. Technologies/skills demonstrated: - Python (recursion, input handling, type hints), data processing utilities, and aiogram-based Telegram bot development. - Strong emphasis on code quality, input validation, and clear example usage to aid adoption and reuse across assignments.
November 2024
5 Commits • 2 Features
Nov 1, 2024November 2024 highlights for hubble_course: Delivered important Python lesson enhancements and new content with strengthened test coverage and maintainability. Bubble Sort Lesson Improvements added a robust, optimized Python implementation with comprehensive tests, fixed off-by-one error, and swap-flag optimization; refactor improved readability and performance, and test data updated. Python Lesson: Factorial and Recursive Binary Search introduced iterative factorial and a recursive list search (with lambda usage and demonstration prints). These contributions improved learner outcomes, reduced validation bugs, and enhanced code quality for future lesson development.
5 Commits • 2 Features
Nov 1, 2024November 2024 highlights for hubble_course: Delivered important Python lesson enhancements and new content with strengthened test coverage and maintainability. Bubble Sort Lesson Improvements added a robust, optimized Python implementation with comprehensive tests, fixed off-by-one error, and swap-flag optimization; refactor improved readability and performance, and test data updated. Python Lesson: Factorial and Recursive Binary Search introduced iterative factorial and a recursive list search (with lambda usage and demonstration prints). These contributions improved learner outcomes, reduced validation bugs, and enhanced code quality for future lesson development.
November 2024
October 2024
6 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for hubble_course: Delivered new lesson content with practical exercises, fixed core correctness bugs, and improved code quality. Impact: higher reliability of exercises, better learner outcomes, and stronger maintainability. Demonstrated Python fundamentals, debugging, and refactoring.
October 2024
6 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for hubble_course: Delivered new lesson content with practical exercises, fixed core correctness bugs, and improved code quality. Impact: higher reliability of exercises, better learner outcomes, and stronger maintainability. Demonstrated Python fundamentals, debugging, and refactoring.
Activity
Loading activity data...
Quality Metrics
Correctness75.0%
Maintainability77.6%
Architecture63.8%
Performance68.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm ImplementationAlgorithmsBasic Input/OutputBasic Programming ConceptsBasic PythonCode RefactoringData StructuresFile ManagementPythonPython DevelopmentRecursionScriptingSoftware DevelopmentTelegram Bot Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline