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setup/01_optional-python-setup-preferences/README.md
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@ -18,7 +18,7 @@ This section guides you through the Python setup and package installation proced
   
> [!NOTE] > [!NOTE]
> There are alternative ways to install Python and use `uv`. For example, you can install Python directly via `uv` and use `uv add` instead of `uv pip install` for faster package management. > There are alternative ways to install Python and use `uv`. For example, you can install Python directly via `uv` and use `uv add` instead of `uv pip install` for even faster package management.
> >
> If you prefer the native `uv` commands, refer to the [./native-uv.md tutorial](./native-uv.md). I also recommend checking the official [`uv` documentation](https://docs.astral.sh/uv/). > If you prefer the native `uv` commands, refer to the [./native-uv.md tutorial](./native-uv.md). I also recommend checking the official [`uv` documentation](https://docs.astral.sh/uv/).
> >
@ -68,8 +68,6 @@ brew install python@3.10
Alternatively, download and run the installer from the official website: [https://www.python.org/downloads/](https://www.python.org/downloads/). Alternatively, download and run the installer from the official website: [https://www.python.org/downloads/](https://www.python.org/downloads/).
I recommend installing a Python version that is at least two versions older than the latest release to ensure PyTorch compatibility.
<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/uv-setup/python-version.png" width="700" height="auto" alt="Python version"> <img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/uv-setup/python-version.png" width="700" height="auto" alt="Python version">
@ -79,9 +77,6 @@ I recommend installing a Python version that is at least two versions older than
Download and run the installer from the official website: [https://www.python.org/downloads/](https://www.python.org/downloads/). Download and run the installer from the official website: [https://www.python.org/downloads/](https://www.python.org/downloads/).
I recommend installing a Python version that is at least 2 versions older than the most recent release to ensure PyTorch compatibility. For example, if the most recent version is Python 3.13, I recommend installing version 3.10 or 3.11.
&nbsp; &nbsp;
@ -115,11 +110,11 @@ source .venv/bin/activate
&nbsp; &nbsp;
> [!NOTE] > [!NOTE]
> If you are using Windows, you may have to replace the command above by `source .venv/Scripts/activate` > If you are using Windows, you may have to replace the command above by `source .venv/Scripts/activate` or `.venv/Scripts/activate`.
Note that you need to activate the virtual environment each time you start a new terminal session. For example, if you restart your terminal or computer and want to continue working on the project the next day, simply run source `.venv/bin/activate` in the project folder to reactivate your virtual environment. Note that you need to activate the virtual environment each time you start a new terminal session. For example, if you restart your terminal or computer and want to continue working on the project the next day, simply run `source .venv/bin/activate` in the project folder to reactivate your virtual environment.
<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/uv-setup/venv-activate-1.png" width="600" height="auto" alt="Venv activated"> <img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/uv-setup/venv-activate-1.png" width="600" height="auto" alt="Venv activated">
@ -196,7 +191,7 @@ jupyterlab
This section guides you through the Python setup and package installation procedure using `uv`. This section guides you through the Python setup and package installation procedure using [`conda`](https://www.google.com/search?client=safari&rls=en&q=conda&ie=UTF-8&oe=UTF-8) via [miniforge](https://github.com/conda-forge/miniforge).
In this tutorial, I am using a computer running macOS, but this workflow is similar for Linux machines and may work for other operating systems as well. In this tutorial, I am using a computer running macOS, but this workflow is similar for Linux machines and may work for other operating systems as well.