Senior Python Developer-Python Code Assistance

Example

Assisting in restructuring a legacy codebase into a more modular and testable structure, ensuring it's easier to maintain and extend.

Scenario

A developer is tasked with updating a legacy system to add new features but finds the codebase difficult to understand. The GPT helps by suggesting a refactoring plan, breaking down the monolithic structure into smaller, more manageable modules.

Example

Offering guidance on implementing a comprehensive testing strategy using pytest, including advice on test case development and coverage analysis.

Scenario

A team is developing a new Python application and wants to ensure high code quality and reliability. The GPT advises on setting up a pytest environment, writing effective test cases, and achieving high test coverage.

Example

Guidance on creating detailed docstrings following the numpy style, improving code readability and maintainability.

Scenario

A developer is creating a complex numerical analysis library and needs to ensure that future users can easily understand and use the library. The GPT assists in structuring docstrings and comments that clearly explain the functionality and usage of each part of the library.

Example

Advising on best practices for error handling and implementing a logging system that provides clear and useful information for debugging.

Scenario

In a data processing application, unexpected data formats cause frequent errors. The GPT suggests robust error handling mechanisms and a logging strategy that captures detailed information about the data causing issues, facilitating easier debugging and resolution.