hubbleDJ/hubble_course
Jan 2025 – Mar 2025
3 Months active
Languages Used
Python
Technical Skills
Basic Python ProgrammingBasic ScriptingData Types (float, dict)Input/Output OperationsString FormattingAlgorithm Implementation
Julia-Krsh
PROFILE
Julia-krsh
Yekaterina Krasheninnikova developed a suite of educational Python scripts and libraries over three months in the hubbleDJ/hubble_course repository, focusing on foundational programming concepts. She implemented basic input/output operations, algorithmic utilities such as an optimized bubble sort and recursive factorial, and a reusable toy simulation library using object-oriented programming and class inheritance. Her work emphasized maintainable code structure, clear data processing, and practical examples for student learning. By leveraging Python and core data structures, she enabled reproducible coursework and hands-on experimentation. The depth of her contributions provided a stable, extensible base for both teaching demonstrations and further feature development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
277
Activity Months3
Your Network
14 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary focusing on key accomplishments: Delivered a reusable Python toy-simulation library under the hubble_course repository, designed with solid OOP principles. Implemented a Doll base class with properties (ID, production year, brand, hair, eyes, dress color, cost, optional name) and methods to display doll information, simulate a purchase flow with wallet management, and a basic play action. Introduced a Barbie subclass with inherited properties and specialized methods (brush_hair, dress) to demonstrate extension and domain-specific behavior. Included example usage showing object creation and interaction, ready for teaching demos or UI integrations. This work is tied to commit e234e6f40a9d9b054a05f8113258c0f8930b31e9 (jekrasheninnikova/hw_2025-02-26 (#55)).
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary focusing on key accomplishments: Delivered a reusable Python toy-simulation library under the hubble_course repository, designed with solid OOP principles. Implemented a Doll base class with properties (ID, production year, brand, hair, eyes, dress color, cost, optional name) and methods to display doll information, simulate a purchase flow with wallet management, and a basic play action. Introduced a Barbie subclass with inherited properties and specialized methods (brush_hair, dress) to demonstrate extension and domain-specific behavior. Included example usage showing object creation and interaction, ready for teaching demos or UI integrations. This work is tied to commit e234e6f40a9d9b054a05f8113258c0f8930b31e9 (jekrasheninnikova/hw_2025-02-26 (#55)).
March 2025
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 (hubbleDJ/hubble_course): Delivered a Python homework suite centered on basic algorithms and data utilities. The work focused on implementing Bubble sort with an early-exit optimization, a number-sorting function, min/max/even-number utilities, and a recursive factorial, providing a foundational learning toolkit and reusable code. Impact: created a stable, reusable set of educational scripts that accelerates skill-building and experimentation, with a clear commit trail across three updates. Technologies/skills: Python, algorithm design, optimization (early exit in Bubble sort), recursion, basic data processing, Git branch workflow and commit hygiene.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 (hubbleDJ/hubble_course): Delivered a Python homework suite centered on basic algorithms and data utilities. The work focused on implementing Bubble sort with an early-exit optimization, a number-sorting function, min/max/even-number utilities, and a recursive factorial, providing a foundational learning toolkit and reusable code. Impact: created a stable, reusable set of educational scripts that accelerates skill-building and experimentation, with a clear commit trail across three updates. Technologies/skills: Python, algorithm design, optimization (early exit in Bubble sort), recursion, basic data processing, Git branch workflow and commit hygiene.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for hubbleDJ/hubble_course: Delivered the initial set of Python homework scripts for January 2025, including a Jan 15 hello world script (replacing the previously deleted version) and a Jan 22 two-part script (arithmetic on user input and a formatted user greeting). Focused on completing a maintainable, ready-to-run educational bundle with clear input/output behavior and alignment to the January coursework plan. No major defects reported in this feature set; changes are self-contained to scripts and repository hygiene, enabling reliable student onboarding and evaluation workflows.
2 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for hubbleDJ/hubble_course: Delivered the initial set of Python homework scripts for January 2025, including a Jan 15 hello world script (replacing the previously deleted version) and a Jan 22 two-part script (arithmetic on user input and a formatted user greeting). Focused on completing a maintainable, ready-to-run educational bundle with clear input/output behavior and alignment to the January coursework plan. No major defects reported in this feature set; changes are self-contained to scripts and repository hygiene, enabling reliable student onboarding and evaluation workflows.
January 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm ImplementationBasic Python ProgrammingBasic Python ScriptingBasic ScriptingClass InheritanceData StructuresData Types (float, dict)Input/Output OperationsObject-Oriented ProgrammingPythonRecursionString Formatting
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