Supported operating systems¶
pyscal can be installed on Linux, Mac OS and Windows based systems.
conda install -c conda-forge pyscal
This is the recommended way to install if you have an Anaconda distribution.
The above command installs the latest release version of pyscal and works on all three operating systems.
pyscal is no longer maintained for Python 2. Although quick installation method might work for Python 2, all features may not work as expected.
pyscal can be installed using the following steps-
Download an archive of the pyscal library from here.
Extract the downloaded version. From the extracted folder, run,
python setup.py install --user
Pyscal can be installed system-wide using `python setup.py install`.
Installation using pip¶
pyscal is not available on pip directly. However pyscal can be installed using pip by
pip install git+https://github.com/srmnitc/pyscal
Installation from the repository¶
pyscal can be built from the repository by-
git clone https://github.com/srmnitc/pyscal.git cd pyscal python setup.py install --user
Using a conda environment¶
pyscal can also be installed in a conda environment, making it easier to manage dependencies. A python3 Conda environment can be created by,
conda create -n myenv python=3
Once created, the environment can be activated using,
conda activate myenv
In case Cmake and C++11 are not available, these can be installed using,
(myenv) conda install -c anaconda gcc (myenv) conda install -c anaconda cmake
Now the pyscal repository can be cloned and the module can be installed. Python dependencies are installed automatically.
(myenv) git clone https://github.com/srmnitc/pyscal.git (myenv) cd pyscal (myenv) python setup.py install
A good guide on managing Conda environments is available [here](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html).
Dependencies for the C++ part
Dependencies for the python part
In order to see if the installation worked, the following commands can be tried-
import pyscal.core as pc pc.test()
The above code does some minimal tests and gives a value of
pyscal was installed successfully. However, pyscal also contains
automated tests which use the
pytest python library, which can
be installed by
pip install pytest. The tests can be run by executing
pytest tests/ from the main code directory.
It is good idea to run the tests to check if everything is installed properly.