PyTables 3.8.0-foss-2022aPyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. PyTables is built on top of the HDF5 library, using the Python language and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively browse, process and search very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that data takes much less space (specially if on-flight compression is used) than other solutions such as relational or object oriented databases.
Accessing PyTables 3.8.0-foss-2022a
To load the module for PyTables 3.8.0-foss-2022a please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load bear-apps/2022a
module load PyTables/3.8.0-foss-2022a
BEAR Apps Version
EL8-cascadelake — EL8-haswell — EL8-icelake
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- blosc2 2.0.0
- tables 3.8.0
For more information visit the PyTables website.
This version of PyTables has a direct dependency on: Blosc/1.21.3-GCCcore-11.3.0 Blosc2/2.6.1-GCCcore-11.3.0 foss/2022a HDF5/1.12.2-gompi-2022a LZO/2.10-GCCcore-11.3.0 py-cpuinfo/9.0.0-GCCcore-11.3.0 Python/3.10.4-GCCcore-11.3.0 SciPy-bundle/2022.05-foss-2022a
This version of PyTables is a direct dependent of: scanpy/1.9.1-foss-2022a
These versions of PyTables are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Last modified on 27th February 2023