Installation

For installation, we recommend the use of conda environments to control packages dependencies and PharmaPy. A lighweight version of conda (miniconda) is probably a good option for new users of the management system.

For PharmaPy installation, you must use the source code, which is available in our Github repository. Once the source code is downloaded to the desired location, navigate (cd) to the directory which contains the setup.py file. Then, follow the instructions on the installation_guide.txt, to setup fresh conda environment and install PharmaPy and its dependencies.

Once the software is installed, install and/or use your preferred IDE or text editor to construct PharmaPy flowsheets. For instance, on an active conda environment, install the Spyder IDE by doing conda -c conda-forge install spyder, which provides a nice development environment very well suited for scientific computing.

Tutorials in the format of Jupyter notebooks are available for users and developers getting started with PharmaPy. Also, on this site, documentation for all unit operations is available.