Add uv dependencies #2
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| @@ -0,0 +1,13 @@ | |||
| repos: | |||
| - repo: https://github.com/astral-sh/ruff-pre-commit | |||
| rev: v0.6.5 | |||
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v 0.6.9 is available since last week. Do you want to keep the 0.6.5 version?
| args: ["--fix"] | ||
| # Formatter | ||
| - id: ruff-format | ||
| types_or: ["python"] |
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Do we want to let it run on Jupyter notebooks or not?
| @@ -6,8 +6,15 @@ | |||
| Describe why your topic is important and what you want to share with your audience | |||
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| ## Requirements | |||
| Do not forget to indicate Python version and any other tools | |||
| + add requirements.txt or conda.yml or docker image or Binder/Google Collab link | |||
| PyLadies encourage the usage of [uv](https://astral.sh/blog/uv) for dependency management. You can get uv by running the following command in your shell: | |||
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I would rather add uv and ruff pre-commit here as a hard requirement with direct links to how to install them from the source docs.
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| After you have specified the python version, you can create a virtual environemnt with `uv venv` and add packages with `uv add <package>`. Before the workshop, you can generate a requirements.txt file by running `uv export > requirements.txt`. | ||
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| If you are not familiar with uv or are in a hurry, feel free to work with your familiar dependency management system and the PyLadies will handle the `pyproject.toml` for you. |
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Please move the rest of the info (lines 13-17 to the Usage)
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Do we really want to handle pyproject.toml for them?
| 5. At the tob of the notebook, runthe following code: | ||
| ```bash | ||
| !cd ./name-of-repo | ||
| !pip install -r requirements.txt |
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Would it be valid in case of pyproject.toml usage?
una-honest-data-and-ai-consulting
requested changes
Oct 14, 2024
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