Skip to main content

Hierarchical datasets for Python

Project description

PyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Cython sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tables-3.2.3.1.tar.gz (7.1 MB view details)

Uploaded Source

File details

Details for the file tables-3.2.3.1.tar.gz.

File metadata

  • Download URL: tables-3.2.3.1.tar.gz
  • Upload date:
  • Size: 7.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for tables-3.2.3.1.tar.gz
Algorithm Hash digest
SHA256 20fb453dcfbb28450f4f738ed8ce85943b1cca4bf5e3cd739098cae6dac9dbc8
MD5 9a15d8ab9c41b23979ae3f1751c06878
BLAKE2b-256 0cebe2def4cefade4b2427b8737b7c67cd00db8746dbb02dbfcf66a010f13954

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page