### Install Lenstronomy with virtualenvwrapper

Source: https://github.com/lenstronomy/lenstronomy/blob/main/docs/installation.md

If you use virtualenvwrapper, create a new environment and then install lenstronomy within it.

```bash
mkvirtualenv lenstronomy
pip install lenstronomy
```

--------------------------------

### Install FASTELL for PEMD model

Source: https://github.com/lenstronomy/lenstronomy/blob/main/docs/installation.md

Install the FASTELL package, required for the PEMD lens model, by cloning the repository and running the setup script. A Fortran compiler is necessary.

```bash
sudo apt-get install gfortran
git clone https://github.com/sibirrer/fastell4py.git <desired location>
cd <desired location>
python setup.py install --user
```

--------------------------------

### Install Local lenstronomy Version

Source: https://github.com/lenstronomy/lenstronomy/blob/main/CONTRIBUTING.rst

Install your local version of lenstronomy in development mode, making it accessible to Python.

```bash
cd lenstronomy
python setup.py develop --user
```

--------------------------------

### Install Lenstronomy using pip

Source: https://github.com/lenstronomy/lenstronomy/blob/main/docs/installation.md

Use this command to install the latest stable release of lenstronomy from the Python Package Index.

```bash
pip install lenstronomy
```

--------------------------------

### Check Lenstronomy installation with pytest

Source: https://github.com/lenstronomy/lenstronomy/blob/main/docs/installation.md

Verify your lenstronomy installation by running the full test suite using pytest in the repository directory.

```bash
cd <lenstronomy_repo>
py.test
```

--------------------------------

### Install Lenstronomy using conda-forge

Source: https://github.com/lenstronomy/lenstronomy/blob/main/docs/installation.md

Install the latest lenstronomy release from the conda-forge channel into your active conda environment.

```bash
conda install -c conda-forge lenstronomy
```

--------------------------------

### Configure Lenstronomy with NUMBA

Source: https://github.com/lenstronomy/lenstronomy/blob/main/docs/installation.md

Create a custom configuration file for NUMBA JIT compilation settings. Ensure the path is correct for your system.

```bash
~/.conf/lenstronomy/config.yaml
```

--------------------------------

### Set Upstream for First Push

Source: https://github.com/lenstronomy/lenstronomy/blob/main/CONTRIBUTING.rst

Link your local feature branch to the remote fork for the initial push.

```bash
git push --set-upstream origin <your-branch-name>
```

--------------------------------

### Run partial Lenstronomy tests

Source: https://github.com/lenstronomy/lenstronomy/blob/main/docs/installation.md

Execute a specific subset of tests, such as those for the LensModel module, by providing the path to the test file.

```bash
cd <lenstronomy_repo>
py.test/test/test_LensModel/
```

--------------------------------

### Run Lenstronomy tests with tox

Source: https://github.com/lenstronomy/lenstronomy/blob/main/docs/installation.md

Use tox to run tests within a virtual environment, which can help isolate dependencies and ensure compatibility. Note potential issues with PyMultiNest.

```bash
cd <lenstronomy_repo>
tox
```

--------------------------------

### Clone lenstronomy Repository

Source: https://github.com/lenstronomy/lenstronomy/blob/main/CONTRIBUTING.rst

Clone your forked repository to create a local copy for development.

```bash
git clone https://github.com/<your-account>/lenstronomy.git
```

--------------------------------

### Create Feature Branch

Source: https://github.com/lenstronomy/lenstronomy/blob/main/CONTRIBUTING.rst

Create a new branch from the lenstronomyproject main branch to work on your feature.

```bash
git fetch lenstronomyproject
git checkout -b <your-branch-name> lenstronomyproject/main
```

--------------------------------

### Commit Changes

Source: https://github.com/lenstronomy/lenstronomy/blob/main/CONTRIBUTING.rst

Stage and commit your changes to the feature branch with a descriptive message.

```bash
git add file_containing_your_contribution
git commit -m 'Your clear and descriptive commit message'
```

--------------------------------

### Add lenstronomyproject Remote

Source: https://github.com/lenstronomy/lenstronomy/blob/main/CONTRIBUTING.rst

Add the official lenstronomy repository as a remote to fetch upstream changes.

```bash
cd lenstronomy
git remote add lenstronomyproject https://github.com/lenstronomy/lenstronomy.git
```

--------------------------------

### Import Lenstronomy Library

Source: https://github.com/lenstronomy/lenstronomy/blob/main/docs/usage.md

This is the basic import statement required to use the lenstronomy library in your Python projects.

```python
import lenstronomy
```

--------------------------------

### Push Feature Branch

Source: https://github.com/lenstronomy/lenstronomy/blob/main/docs/contributing.md

Push your feature branch to your remote fork on GitHub. Use --set-upstream for the first push.

```bash
git push origin <your-branch-name>
```

```bash
git push --set-upstream origin <your-branch-name>
```

--------------------------------

### Push Feature Branch

Source: https://github.com/lenstronomy/lenstronomy/blob/main/CONTRIBUTING.rst

Push your feature branch to your remote fork on GitHub.

```bash
git push origin <your-branch-name>
```

--------------------------------

### Merge lenstronomy Main Branch

Source: https://github.com/lenstronomy/lenstronomy/blob/main/CONTRIBUTING.rst

Update your feature branch by merging the latest changes from the lenstronomyproject main branch.

```bash
git fetch lenstronomyproject
git merge lenstronomyproject/main
```

--------------------------------

### Rebase Feature Branch

Source: https://github.com/lenstronomy/lenstronomy/blob/main/CONTRIBUTING.rst

Update your feature branch by rebasing it onto the latest lenstronomy main branch. Use with caution on pushed commits.

```bash
git fetch lenstronomyproject
git rebase lenstronomyproject/main
```

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