# Setup Instructions
Here you will find several methods of running the code found in the book. There are two preferred methods, one for local usage and one for cloud-based:
- Local: Using a Conda environment
- Cloud: Using Google Colab Notebooks
Quick start
If you already have a local Python (3.10.*) environment and Microsoft Visual C++ 14.0 or greater installed, you can install the complete environment as follows at the root of this repository:
pip install -r requirements.txt
Warning
If you get the following error
error: Microsoft Visual C++ 14.0 or greater is required.then you will need to install C++. Follow the instructions here for an installation guide before you can install your environment.
If you have conda installed (this does not require an additional installation of C++), you can also install the complete environment as follows at the root of this repository:
conda env create -f environment.yml
Tip
After preparing your environment, it is recommended to install the GPU version of PyTorch following the instructions here as most examples will require a GPU.
For a complete tutorial on setting up your environment, visit the conda example.