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note about google colab (#535)

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Sebastian Raschka
2025-02-16 21:12:36 -06:00
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setup/01_optional-python-setup-preferences/README.md
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There are several ways to install Python and set up your computing environment. Here, I share my personal preferences.
<br>
> [!NOTE] If you are running any of the notebooks on Google Colab and want to install the dependencies, simply run the following code in a new cell at the top of the notebook and skip the rest of this tutorial:
> `pip install uv && uv pip install --system -r https://raw.githubusercontent.com/rasbt/LLMs-from-scratch/refs/heads/main/requirements.txt`
The remaining sections below describe how you can manage your Python environment and packages on your local machine.
I have been a long-time user of [Conda](https://anaconda.org/anaconda/conda) and [pip](https://pypi.org/project/pip/), but recently, the [uv](https://github.com/astral-sh/uv) package has gained significant traction as it provides a faster and more efficient way to install packages and resolve dependencies.
I recommend starting with *Option 1: Using uv* as it is the more modern approach in 2025. If you encounter problems with *Option 1*, consider *Option 2: Using Conda*.

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setup/README.md
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pip install -r requirements.txt
```
<br>
> [!NOTE] If you are running any of the notebooks on Google Colab and want to install the dependencies, simply run the following code in a new cell at the top of the notebook:
> `pip install uv && uv pip install --system -r https://raw.githubusercontent.com/rasbt/LLMs-from-scratch/refs/heads/main/requirements.txt`
&nbsp;
# Local Setup