Группа :: Development/Python3
Пакет: pytables
Главная Изменения Спек Патчи Sources Загрузить Gear Bugs and FR Repocop
Текущая версия: 3.8.0-alt3.2
Время сборки: 23 августа 2023, 10:39 ( 37.2 недели назад )
Размер архива: 2.81 Mb
Домашняя страница: http://www.pytables.org/
Лицензия: MIT
О пакете: Managing hierarchical datasets
Описание:
Список всех майнтейнеров, принимавших участие
в данной и/или предыдущих сборках пакета:
Список rpm-пакетов, предоставляемый данным srpm-пакетом:
ACL:
Время сборки: 23 августа 2023, 10:39 ( 37.2 недели назад )
Размер архива: 2.81 Mb
Домашняя страница: http://www.pytables.org/
Лицензия: MIT
О пакете: Managing hierarchical datasets
Описание:
PyTables 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 also supports numarray and Numeric right
out-of-the-box). It features an object-oriented interface that, combined
with C extensions for the performance-critical parts of the code
(generated using Pyrex), makes it a fast, yet extremely easy to use tool
for interactively dealing with, processing and searching 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.
Текущий майнтейнер: Ivan Melnikov 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 also supports numarray and Numeric right
out-of-the-box). It features an object-oriented interface that, combined
with C extensions for the performance-critical parts of the code
(generated using Pyrex), makes it a fast, yet extremely easy to use tool
for interactively dealing with, processing and searching 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.
Список всех майнтейнеров, принимавших участие
в данной и/или предыдущих сборках пакета:
- pytables
- pytables-doc
- pytables-py3
- python-module-tables-debuginfo
- python-module-tables-tests
- python-module-tables-bench
- python-module-tables
- python3-module-tables
- python3-module-tables-debuginfo
- python3-module-tables-tests