Tutorial on optimizing and profiling code, algorithm design
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook, python
- Domain
- documentation
Research direction
No file, notebook, or test is named; begin by reviewing the existing tutorials in the CDL-tutorials repository and the scope of the proposed Knuth-based series. Done would be a tutorial series covering code optimization, profiling, and algorithm design while following The Art of Computer Programming.
Written by the indexing model from the issue text.
Description
Possibly create a tutorial series on "The Art of Computer Programming" following the Knuth series
- Dominant language
- Jupyter Notebook
- Stars
- 17
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
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.
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