Tutorial on data organization, getting data (from APIs, websites, etc), and data learning, data scrapping twitter, youtube, etc
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook, python
- Domain
- data-engineering, documentation
Research direction
No files, tests, or entry points are identified because the issue has no body. First clarify the tutorial's scope, target audience, data sources, and project conventions; it is done when an agreed tutorial covering the selected data-collection and organization topics is added and reviewed.
Written by the indexing model from the issue text.
Description
This issue has no description.
- 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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