# Optional Setup Instructions This document lists different approaches for setting up your machine and using the code in this repository. I recommend browsing through the different sections from top to bottom and then deciding which approach best suits your needs.
## Quickstart If you already have a Python installation on your machine, the quickest way to get started is to install the package requirements from the [../requirements.txt](../requirements.txt) file by executing the following pip installation command from the root directory of this code repository: ```bash pip install -r requirements.txt ```
## Setting up Python If you don't have Python set up on your machine yet, I have written about my personal Python setup preferences in the following directories: - [../appendix-A/01_optional-python-setup-preferences](../appendix-A/01_optional-python-setup-preferences) - [../02_installing-python-libraries](../appendix-A/02_installing-python-libraries)
## Using Google Colab To use a Google Colab environment in the cloud, head over to [https://colab.research.google.com/](https://colab.research.google.com/) and open the respective chapter notebook from the GitHub menu or by dragging the notebook into the *Upload* field as shown in the figure below. 1 Also make sure you upload the relevant files (dataset files and .py files the notebook is importing from) to the Colab environment as well, as shown below. 2 You can optionally run the code on a GPU by changing the *Runtime* as illustrated in the figure below. 3
## Using DevContainers Alternatively, If you prefer a development setup that isolates a project's dependencies and configurations, using Docker is a highly effective solution. This approach eliminates the need to manually install software packages and libraries and ensures a consistent development environment. You can find more instructions for setting up Docker and using a DevContainer here in [../appendix-A/04_optional-docker-environment](../appendix-A/04_optional-docker-environment).
## Questions? If you have any questions, please don't hesitate to reach out via the [Discussions](https://github.com/rasbt/LLMs-from-scratch/discussions) forum in this GitHub repository.