# PINGInstaller
[)](https://pypi.org/project/pinginstaller/)
Light-weight application for installing [PINGMapper](https://github.com/CameronBodine/PINGMapper) and associated packages. `PINGInstaller` is designed to install a `conda` environment from a yml specified as a URL or localy hosted yml.
Example yml file structure:
```bash
name: ping
channels:
- conda-forge
dependencies:
- python<3.13
- gdal
- numpy
- git
- pandas
- geopandas
- pyproj<3.7.1
- scikit-image
- joblib
- matplotlib
- rasterio
- h5py
- opencv
- pip
- pip:
- pingverter
- pingmapper
- pingwizard
- pinginstaller
- doodleverse_utils
- psutil
- tensorflow
- tf-keras
- transformers
- rsa
```
The special thing about `PINGInstaller` is that it will install the `conda` environment based on the `conda` prompt it is launched from. This enables end-users with multiple `conda` installations to choose the flavor of `conda` as needed.
Supported prompts include (but may not be limited to):
- [Miniforge](https://conda-forge.org/download/)
- [Miniconda](https://docs.anaconda.com/miniconda/install/)
- [Anaconda](https://www.anaconda.com/download)
- [ArcGIS Python Command Prompt](https://pro.arcgis.com/en/pro-app/3.3/arcpy/get-started/installing-python-for-arcgis-pro.htm)
`PINGInstaller` is also compatible with projects in the [Doodlevers](https://github.com/settings/organizations).
## Installation & Usage
### Step 1
Open (download, if not already available) the `conda` prompt you want to use (ex: On Windows 11 - Start --> All --> Anaconda (miniconda3) --> Anaconda Powershell Prompt).
### Step 2
Install `PINGInstaller` in the `base` environment with:
```bash
pip install pinginstaller
```
### Step 3
Then install the environment from a web or locally hosted yml with:
```bash
python -m pinginstaller https://github.com/CameronBodine/PINGMapper/blob/main/conda/PINGMapper.yml
```
That's it! Your environment is now ready to use.
If you want to update the environment, simply re-run the environment installation script with:
```bash
python -m pinginstaller https://github.com/CameronBodine/PINGMapper/blob/main/conda/PINGMapper.yml
```
Ta-ta for now!
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"description": "# PINGInstaller\r\n\r\n[)](https://pypi.org/project/pinginstaller/)\r\n\r\nLight-weight application for installing [PINGMapper](https://github.com/CameronBodine/PINGMapper) and associated packages. `PINGInstaller` is designed to install a `conda` environment from a yml specified as a URL or localy hosted yml.\r\n\r\nExample yml file structure:\r\n\r\n```bash\r\nname: ping\r\nchannels:\r\n - conda-forge\r\ndependencies:\r\n - python<3.13\r\n - gdal\r\n - numpy\r\n - git\r\n - pandas\r\n - geopandas\r\n - pyproj<3.7.1\r\n - scikit-image\r\n - joblib\r\n - matplotlib\r\n - rasterio\r\n - h5py\r\n - opencv\r\n - pip\r\n - pip:\r\n - pingverter\r\n - pingmapper\r\n - pingwizard\r\n - pinginstaller\r\n - doodleverse_utils\r\n - psutil\r\n - tensorflow\r\n - tf-keras\r\n - transformers\r\n - rsa\r\n```\r\n\r\nThe special thing about `PINGInstaller` is that it will install the `conda` environment based on the `conda` prompt it is launched from. This enables end-users with multiple `conda` installations to choose the flavor of `conda` as needed. \r\n\r\nSupported prompts include (but may not be limited to):\r\n\r\n- [Miniforge](https://conda-forge.org/download/)\r\n- [Miniconda](https://docs.anaconda.com/miniconda/install/)\r\n- [Anaconda](https://www.anaconda.com/download)\r\n- [ArcGIS Python Command Prompt](https://pro.arcgis.com/en/pro-app/3.3/arcpy/get-started/installing-python-for-arcgis-pro.htm)\r\n\r\n`PINGInstaller` is also compatible with projects in the [Doodlevers](https://github.com/settings/organizations).\r\n\r\n## Installation & Usage\r\n\r\n### Step 1\r\n\r\nOpen (download, if not already available) the `conda` prompt you want to use (ex: On Windows 11 - Start --> All --> Anaconda (miniconda3) --> Anaconda Powershell Prompt).\r\n\r\n### Step 2\r\n\r\nInstall `PINGInstaller` in the `base` environment with:\r\n\r\n```bash\r\npip install pinginstaller\r\n```\r\n\r\n### Step 3\r\n\r\nThen install the environment from a web or locally hosted yml with:\r\n\r\n```bash\r\npython -m pinginstaller https://github.com/CameronBodine/PINGMapper/blob/main/conda/PINGMapper.yml\r\n```\r\n\r\nThat's it! Your environment is now ready to use.\r\n\r\nIf you want to update the environment, simply re-run the environment installation script with:\r\n\r\n```bash\r\npython -m pinginstaller https://github.com/CameronBodine/PINGMapper/blob/main/conda/PINGMapper.yml\r\n```\r\n\r\nTa-ta for now!\r\n\r\n",
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