[ buster ]
[ Källkod: bcolz ]
Paket: python-bcolz (1.2.1+ds2-2)
Länkar för python-bcolz
Debianresurser:
Hämta källkodspaketet bcolz:
Ansvariga:
Externa resurser:
- Hemsida [github.com]
Liknande paket:
high performant compressed data container based on NumPy (Python 2)
bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes.
This package contains the modules for Python 2.
Andra paket besläktade med python-bcolz
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- dep: libblosc1
- high performance meta-compressor optimized for binary data
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- dep: libc6 (>= 2.14) [amd64]
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också ett virtuellt paket som tillhandahålls av libc6-udeb
- dep: libc6 (>= 2.17) [arm64]
- dep: libc6 (>= 2.4) [armhf, i386]
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- dep: python
- interactive high-level object-oriented language (Python2 version)
- dep: python (<< 2.8)
- dep: python (>= 2.7~)
-
- dep: python-numpy (>= 1:1.14.3)
- Numerical Python adds a fast array facility to the Python language
-
- dep: python-numpy-abi9
- virtuellt paket som tillhandahålls av python-numpy
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- dep: python-pkg-resources
- Package Discovery and Resource Access using pkg_resources
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- rec: python-mock
- Mocking and Testing Library
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- rec: python-numexpr
- Fast numerical array expression evaluator for Python and NumPy
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- sug: bcolz-doc
- high performant compressed data container (documentation)
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- sug: python-pandas
- data structures for "relational" or "labeled" data
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- sug: python-tables
- hierarchical database for Python based on HDF5
Hämta python-bcolz
| Arkitektur | Paketstorlek | Installerad storlek | Filer |
|---|---|---|---|
| amd64 | 313,9 kbyte | 1.190,0 kbyte | [filförteckning] |
| arm64 | 275,5 kbyte | 1.157,0 kbyte | [filförteckning] |
| armhf | 300,4 kbyte | 988,0 kbyte | [filförteckning] |
| i386 | 292,3 kbyte | 1.233,0 kbyte | [filförteckning] |