Installation#

This section guides you through the installation process for pyMultiFit. Whether you’re a user or a developer, follow the steps below to get started quickly.

pyMultiFit depends on a few core libraries to ensure smooth functionality:

Installation for Users#

If you are a user looking to install and use the library, follow these steps.

Using Pip with Virtual Environment#

Create a virtual environment:
```
python -m venv multifit-env
```

Activate the virtual environment:

On Linux/macOS:
```
source multifit-env/bin/activate
```
On Windows:
```
.\multifit-env\Scripts\activate
```

Install the library:
```
pip install pymultifit
```

Verify the installation:

python -c "import pymultifit; print('pyMultiFit installed successfully!')"

Using Conda#

Create a new Conda environment:
```
conda create -n multifit python=3.10
```
Activate the environment:
```
conda activate multifit
```
Install the library:
```
pip install pymultifit
```

Verify the installation:

python -c "import pymultifit; print('pyMultiFit installed successfully!')"

Installation for Developers#

If you are a developer looking to contribute or set up the library for development purposes, follow these steps for a complete setup.

Fork the repository: Visit the pyMultiFit repository and fork it to your GitHub account.

Clone the repository:

git clone https://github.com/<YOUR-USERNAME>/pyMultiFit.git

Alternatively, download the ZIP archive from the main branch and extract it.
Use pip with a virtual environment or conda to set up the development environment.

Using Pip with Virtual Environment#

Create a virtual environment:
```
python -m venv multifit-env
```

Activate the virtual environment:

On Linux/macOS:
```
source multifit-env/bin/activate
```
On Windows:
```
.\multifit-env\Scripts\activate
```

Install dependencies:

Use the requirements[dev].txt file to completely install all dependencies at once:
```
pip install -r requirements[dev].txt
```

Using Conda#

Create a Conda environment:

Use the environment.yml file in the repository:
```
conda env create -f environment.yml
```
Activate the Conda environment:
```
conda activate multifit
```

Next Steps Now that you have installed pyMultiFit, head over to the Tutorials section to start exploring its features and capabilities.