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Simplify the setup in CI (#542)

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* Simplify the setup in CI

* windows --no-binary option

* windows uv workflow

* add path

* some fixes

* some fixes

* some fixes

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* more windows issues

* more windows issues

* more windows issues

* more windows issues

* more windows issues

* more windows issues

* more windows issues

* more windows issues

* revert
This commit is contained in:
Sebastian Raschka
2025-02-20 11:56:52 -06:00
committed by GitHub
parent d1e99f6092
commit bca82a9443
14 changed files with 160 additions and 39 deletions
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10
setup/01_optional-python-setup-preferences/README.md
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@@ -50,7 +50,7 @@ If it returns 3.10 or newer, no further action is required.
 
> [!NOTE]
> I recommend installing a Python version that is at least 1-3 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, 3.11, or 3.12.
> 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.
Otherwise, if Python is not installed or is an older version, you can install it for your operating system as described below.
@@ -62,7 +62,7 @@ Otherwise, if Python is not installed or is an older version, you can install it
```bash
sudo apt update
sudo apt install python3.11 python3.11-venv python3.11-dev
sudo apt install python3.10 python3.10-venv python3.10-dev
```
<br>
@@ -143,13 +143,13 @@ uv pip install packaging
To install all required packages from a `requirements.txt` file (such as the one located at the top level of this GitHub repository) run the following command, assuming the file is in the same directory as your terminal session:
```bash
uv pip install -U -r requirements.txt
uv pip install -r requirements.txt
```
Alternatively, install the latest dependencies directly from the repository:
```bash
uv pip install -U -r https://raw.githubusercontent.com/rasbt/LLMs-from-scratch/refs/heads/main/requirements.txt
uv pip install -r https://raw.githubusercontent.com/rasbt/LLMs-from-scratch/refs/heads/main/requirements.txt
```
@@ -246,7 +246,7 @@ conda create -n LLMs python=3.10
<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/01_optional-python-setup-preferences/new-env.png" alt="new-env" width="600px">
> Many scientific computing libraries do not immediately support the newest version of Python. Therefore, when installing PyTorch, it's advisable to use a version of Python that is one to three releases older. For instance, if the latest version of Python is 3.13, using Python 3.10, 3.11, or 3.12 is recommended.
> Many scientific computing libraries do not immediately support the newest version of Python. Therefore, when installing PyTorch, it's advisable to use a version of Python that is one or two releases older. For instance, if the latest version of Python is 3.13, using Python 3.10 or 3.11 is recommended.
Next, activate your new virtual environment (you have to do it every time you open a new terminal window or tab):