The best way to learn about and interact with the Python interface to the ParaMonte library is via the Jupyter notebooks. The following is a list of example Jupyter Notebooks that are currently kept in the examples repository of the package on GitHub.
General topics
The ParaDRAM sampler
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sampling_multivariate_normal_distribution_via_paradram (GitHub, direct download)
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sampling_univariate_gaussian_distribution_via_paradram (GitHub, direct download)
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sampling_multivariate_normal_distribution_via_paradram_parallel (GitHub, direct download)
Bayesian regression and data analysis
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regression_censored_lognormal_data_paradram (GitHub, direct download)
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regression_censored_bivariate_lognormal_data_paradram (GitHub, direct download)
If you have any questions about the topics discussed on this page, feel free to ask in the comment section below, or raise an issue on the GitHub page of the library, or reach out to the ParaMonte library authors.