PySCF (Python-based Simulations of Chemistry Framework) is a free and open-source computational chemistry software package written in Python. It can be used for a wide range of quantum chemistry calculations, including density functional theory (DFT), Hartree-Fock (HF), Møller–Plesset perturbation theory (MP2), and coupled cluster (CC) methods.
To install PySCF, you will need to have Python and pip (Python’s package manager) installed on your system. You can verify that you have these requirements installed by running the following commands in your terminal:
python --version pip --version
If these commands return the version numbers of your Python and pip installations, then you are ready to install PySCF. If not, you can refer to the official Python and pip documentation for instructions on how to install them.
Once you have Python and pip installed, you can install PySCF using the following command:
pip install pyscf
This will install the latest version of PySCF from the Python Package Index (PyPI). If you want to install a specific version of PySCF, you can use the == operator followed by the version number, like this:
pip install pyscf==1.7.4
After installing PySCF, you can verify the installation by importing the package in Python and checking the version number. To do this, open a Python shell and run the following commands:
import pyscf print(pyscf.__version__)
This should print the version number of your PySCF installation, indicating that it was installed successfully.
In conclusion, to install PySCF, you will need to have Python and pip installed on your system. You can then use the pip install command to install PySCF from PyPI. You can verify the installation by importing the package in Python and checking the version number.
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Ph.D. researcher at Friedrich-Schiller University Jena, Germany. I’m a physicist specializing in computational material science. I write efficient codes for simulating light-matter interactions at atomic scales. I like to develop Physics, DFT, and Machine Learning related apps and software from time to time. Can code in most of the popular languages. I like to share my knowledge in Physics and applications using this Blog and a YouTube channel.