Implement an LRU cache in Python
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- Half a day
- Newbie friendliness
- 50/100
Research direction
Start with the linked coursework directory, Sprint-2/implement_lru_cache, and read its instructions before identifying the implementation entry point. Done means the LRU cache exercise is complete, the repository instructions are followed, and a pull request is opened with the required template.
Written by the indexing model from the issue text.
Description
Link to the coursework
https://github.com/CodeYourFuture/Module-Complexity/tree/main/Sprint-2/implement_lru_cache
Why are we doing this?
Getting practical experience implementing efficient algorithms and data structures.
Maximum time in hours
5
How to submit
Fork the repo to your own GitHub account
Make regular small commits with clear messages
When you are ready, open a Pull Request to the CYF repo
Make sure you fill in the PR template provided
- Dominant language
- Python
- Stars
- 0
- Forks
- 60
- 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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