# Installing Python Packages and Libraries Used In This Book

This document provides more information on double-checking your installed Python version and packages. (Please see the [../01_optional-python-setup-preferences](../01_optional-python-setup-preferences) folder for more information on installing Python and Python packages.)

I used the following libraries listed [here](https://github.com/rasbt/LLMs-from-scratch/blob/main/requirements.txt) for this book. Newer versions of these libraries are likely compatible as well. However, if you experience any problems with the code, you can try these library versions as a fallback.



> **Note:**
> If you you are using `uv` as described in [Option 1: Using uv](../01_optional-python-setup-preferences/README.md), you can replace `pip` via `uv pip` in the commands below. For example, `pip install -r requirements.txt` becomes `uv pip install -r requirements.txt`



To install these requirements most conveniently, you can use the `requirements.txt` file in the root directory for this code repository and execute the following command:

```bash
pip install -r requirements.txt
```

Alternatively, you can install it via the GitHub URL as follows:

```bash
pip install -r https://raw.githubusercontent.com/rasbt/LLMs-from-scratch/main/requirements.txt
```


Then, after completing the installation, please check if all the packages are installed and are up to date using

```bash
python python_environment_check.py
```

<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/02_installing-python-libraries/check_1.jpg" width="600px">

It's also recommended to check the versions in JupyterLab by running the `python_environment_check.ipynb` in this directory, which should ideally give you the same results as above.

<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/02_installing-python-libraries/check_2.jpg" width="500px">

If you see the following issues, it's likely that your JupyterLab instance is connected to wrong conda environment:

<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/02_installing-python-libraries/jupyter-issues.jpg" width="450px">

In this case, you may want to use `watermark` to check if you opened the JupyterLab instance in the right conda environment using the `--conda` flag:

<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/02_installing-python-libraries/watermark.jpg" width="350px">


&nbsp;
## Installing PyTorch

PyTorch can be installed just like any other Python library or package using pip. For example:

```bash
pip install torch
```

However, since PyTorch is a comprehensive library featuring CPU- and GPU-compatible codes, the installation may require additional settings and explanation (see the *A.1.3 Installing PyTorch in the book for more information*).

It's also highly recommended to consult the installation guide menu on the official PyTorch website at [https://pytorch.org](https://pytorch.org).

<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/02_installing-python-libraries/pytorch-installer.jpg" width="600px">

<br>

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Any questions? Please feel free to reach out in the [Discussion Forum](https://github.com/rasbt/LLMs-from-scratch/discussions).
