cltl / cltl/python-for-text-analysis
Debugging tutorial
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- Dominant language
- Jupyter Notebook
- Stars
- 454
- Forks
- 190
- PR merge metrics
- No merged PRs in 30d
Description
Here's a tutorial on debugging code: https://github.com/krother/debugging_tutorial
That reminded me that the course doesn't teach debugging in a very structured way yet, but it's a vital skill to have.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked debugging tutorial and review the course material to identify how debugging is currently covered. Define a structured debugging section or lesson and integrate it into the course; done means the course teaches debugging in a clear, organized way.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- content, documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100