Ementorhub

What you'll learn

Use Jupyter Notebook to implement basic Python workflows and constructs.

Apply the OILER framework for debugging many common Python bugs.

Use official Python documentation to enhance understanding of different programming formats.

Interpret Python error messages to resolve runtime execution issues.

Skills you'll gain

Prompt Engineering

Computer Programming

Debugging

Python Programming

Data Manipulation

Technical Documentation

Software Documentation

Large Language Modeling

Programming Principles

There are 4 modules in this course

Throughout the course, you’ll practice essential programming concepts such as map, filter, and list comprehension. You’ll learn how to take a systematic approach to debugging with the OILER framework – Orient, Investigate, Locate, Experiment, and Reflect – allowing you to spot errors more easily and adjust your code. In addition to frameworks to help you improve your code, you’ll explore how documentation, internet resources, and even large language models (LLMs) can help you identify and fix errors. By the end of this course, you should feel confident in your abilities to write clean, efficient, and reusable code. This is the first course in the four-course series, “Data-Oriented Python Programming and Debugging,” where you’ll work to strengthen your programming capabilities and enhance your problem-solving skills.

The Debugging Framework

Framework Skills

Stop Bugs Before They Happen