freezing Python dependencies inside Bioconductor packages

 Installs a self-contained conda instance that is managed by the
 R/Bioconductor installation machinery. This aims to provide a consistent
 Python environment that can be used reliably by Bioconductor packages.
 Functions are also provided to enable smooth interoperability of
 multiple Python environments in a single R session.
 .
 The parallel installation of multiple versions of the same software is
 not supported in Debian - that is meant as a feature, not as a bug.
 Earlier versions of anything that has ever surfaced in Debian can be
 retrieved via snapshot.debian.org and integrated in a running system
 via a chroot directory or by creating a container. An increasing number
 of Python-R-interactions for machine learning however uses basilisk
 to help quick'n'easy reproducibility between installations.