Python Debugging Capstone Project: Fixing and Extending Code

In “Python Debugging Capstone Project: Fixing and Extending Code,” you will undertake a comprehensive coding project that demonstrates your ability to use NumPy, pandas, and SciPy for advanced data manipulation and scientific computing. You will use the skills and best practices learned throughout the series to debug and analyze real-world data. This project will involve working with complex datasets, requiring you to implement data structures and handle missing data. You will engage in systematic debugging using the OILER framework – Orient, Investigate, Locate, Experiment, and Reflect – learned in the first course within the series and other advanced troubleshooting techniques. By the end of the course, you will know how to properly document your processes through clean, maintainable code notebooks

• Independently debug various code issues
• Interpret and implement evolving project requirements
• Import, clean, and manipulate data from remote sources
• Deliver clear, runnable, and reproducible notebooks

• Basic familiarity with the topic and terminology
• Readiness to practice through applied exercises or case studies