bcolz


Namebcolz JSON
Version 1.2.1 PyPI version JSON
download
home_pagehttps://github.com/Blosc/bcolz
Summarycolumnar and compressed data containers.
upload_time2018-04-13 07:44:26
maintainer
docs_urlNone
authorFrancesc Alted
requires_python
licenseBSD
keywords
VCS
bugtrack_url
requirements numpy
Travis-CI
coveralls test coverage
            
bcolz provides columnar and compressed data containers.  Column
storage allows for efficiently querying tables with a large number of
columns.  It also allows for cheap addition and removal of column.  In
addition, bcolz objects are compressed by default for reducing
memory/disk I/O needs.  The compression process is carried out
internally by Blosc, a high-performance compressor that is optimized
for binary data.


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/Blosc/bcolz",
    "name": "bcolz",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "",
    "author": "Francesc Alted",
    "author_email": "francesc@blosc.org",
    "download_url": "https://files.pythonhosted.org/packages/5c/4e/23942de9d5c0fb16f10335fa83e52b431bcb8c0d4a8419c9ac206268c279/bcolz-1.2.1.tar.gz",
    "platform": "any",
    "description": "\nbcolz provides columnar and compressed data containers.  Column\nstorage allows for efficiently querying tables with a large number of\ncolumns.  It also allows for cheap addition and removal of column.  In\naddition, bcolz objects are compressed by default for reducing\nmemory/disk I/O needs.  The compression process is carried out\ninternally by Blosc, a high-performance compressor that is optimized\nfor binary data.\n\n",
    "bugtrack_url": null,
    "license": "BSD",
    "summary": "columnar and compressed data containers.",
    "version": "1.2.1",
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "c3ccfda46085a94aa31ab667bf032b56",
                "sha256": "c017d09bb0cb5bbb07f2ae223a3f3638285be3b574cb328e91525b2880300bd1"
            },
            "downloads": -1,
            "filename": "bcolz-1.2.1.tar.gz",
            "has_sig": false,
            "md5_digest": "c3ccfda46085a94aa31ab667bf032b56",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 1458967,
            "upload_time": "2018-04-13T07:44:26",
            "upload_time_iso_8601": "2018-04-13T07:44:26.714104Z",
            "url": "https://files.pythonhosted.org/packages/5c/4e/23942de9d5c0fb16f10335fa83e52b431bcb8c0d4a8419c9ac206268c279/bcolz-1.2.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2018-04-13 07:44:26",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "Blosc",
    "github_project": "bcolz",
    "travis_ci": true,
    "coveralls": true,
    "github_actions": false,
    "appveyor": true,
    "requirements": [
        {
            "name": "numpy",
            "specs": [
                [
                    ">=",
                    "1.8"
                ]
            ]
        }
    ],
    "lcname": "bcolz"
}
        
Elapsed time: 0.02169s