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- Install `codegen` globally via `pipx`
- `codegen notebook` will run init + spin up a notebook with a
`Codebase`
- removes auth from `codegen init`
- temporarily removes docs fetching as part of init
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Co-authored-by: codegen-bot <[email protected]>
Copy file name to clipboardExpand all lines: docs/introduction/getting-started.mdx
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Follow our step-by-step tutorial to get up and running with Codegen in a jupyter notebook.
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Follow our step-by-step tutorial to get up and running with Codegen.
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## Installation
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We recommend using [`uv`](https://github.com/astral-sh/uv) with Python 3.13 for the best experience.
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We recommend using [`pipx`](https://pypa.github.io/pipx/) to install Codegen globally. `pipx` is a tool to help you install and run Python applications in isolated environments. This isolation ensures that Codegen's dependencies won't conflict with your other Python projects.
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First, install `uv` if you haven't already:
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First, install `pipx` if you haven't already:
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```bash
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brew install uv
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brew install pipx
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pipx ensurepath # Ensure pipx binaries are on your PATH
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```
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`cd` into the directory you want to parse:
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Then install Codegen globally:
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```bash
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cd path/to/git/repository
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pipx install codegen
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```
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Create and activate a Python 3.13 virtual environment:
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<Note>
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This makes the `codegen` command available globally in your terminal, while
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