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py3-tables-3.10.2p2

Python package to manage extremely large amounts of data

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Description

PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. It s 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.

Package information

Ports path
math/py-tables
Package architecture
amd64
Maintainer
Martin Reindl <martin@catai.org>
Categories
math, lang/python
Available flavors
None listed
Only for architectures
aarch64, amd64, arm, i386, mips64, mips64el, powerpc, powerpc64, riscv64, sparc64, alpha, hppa

These are ports metadata. Binary availability depends on the release, architecture and mirror. Build and test dependencies are not an installation checklist.

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