Hierarchical datasets for Python

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for andreabedini from gravatar.com andreabedini Avatar for antonio.valentino from gravatar.com antonio.valentino Avatar for falted from gravatar.com falted Avatar for ivilata from gravatar.com ivilata Avatar for jsancho from gravatar.com jsancho Avatar for matthew.brett from gravatar.com matthew.brett Avatar for tomkooij from gravatar.com tomkooij

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for andreabedini from gravatar.com andreabedini Avatar for antonio.valentino from gravatar.com antonio.valentino Avatar for falted from gravatar.com falted Avatar for ivilata from gravatar.com ivilata Avatar for jsancho from gravatar.com jsancho Avatar for matthew.brett from gravatar.com matthew.brett Avatar for tomkooij from gravatar.com tomkooij

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

3.10.1

3.10.0

3.9.2

3.9.1

3.9.0 yanked

Reason this release was yanked:

Python 3.8 support is wrong

3.8.0

3.7.0

3.6.1

3.5.2

3.5.1

3.4.4

3.4.3

3.4.2

3.4.1

This version

3.4.0

3.3.0

3.2.3.1

3.2.3

3.2.2

3.2.1.1

3.2.1

3.2.0

3.2.0rc2 pre-release

3.2.0rc1 pre-release

3.1.1

3.1.0

3.0.0

2.4.0

2.3.1

2.3

2.2.1

2.2.1rc1 pre-release

2.2

2.1.2

2.1.1

2.1

2.0.4

2.0.3

2.0.2

2.0.1

2.0

1.4

1.3.3

1.3.2

1.3.1

1.3

Download files

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

Source Distribution

tables-3.4.0.tar.gz (7.6 MB view details)

Uploaded Source

Built Distributions

tables-3.4.0-cp36-cp36m-win_amd64.whl (2.5 MB view details)

Uploaded CPython 3.6m Windows x86-64

tables-3.4.0-cp36-cp36m-win32.whl (2.2 MB view details)

Uploaded CPython 3.6m Windows x86

tables-3.4.0-cp36-cp36m-manylinux1_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.6m

tables-3.4.0-cp36-cp36m-manylinux1_i686.whl (4.3 MB view details)

Uploaded CPython 3.6m

tables-3.4.0-cp35-cp35m-win_amd64.whl (2.5 MB view details)

Uploaded CPython 3.5m Windows x86-64

tables-3.4.0-cp35-cp35m-win32.whl (2.2 MB view details)

Uploaded CPython 3.5m Windows x86

tables-3.4.0-cp35-cp35m-manylinux1_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.5m

tables-3.4.0-cp35-cp35m-manylinux1_i686.whl (4.2 MB view details)

Uploaded CPython 3.5m

tables-3.4.0-cp27-cp27mu-manylinux1_x86_64.whl (4.4 MB view details)

Uploaded CPython 2.7mu

tables-3.4.0-cp27-cp27mu-manylinux1_i686.whl (4.1 MB view details)

Uploaded CPython 2.7mu

tables-3.4.0-cp27-cp27m-win_amd64.whl (2.7 MB view details)

Uploaded CPython 2.7m Windows x86-64

tables-3.4.0-cp27-cp27m-win32.whl (2.4 MB view details)

Uploaded CPython 2.7m Windows x86

tables-3.4.0-cp27-cp27m-manylinux1_x86_64.whl (4.4 MB view details)

Uploaded CPython 2.7m

tables-3.4.0-cp27-cp27m-manylinux1_i686.whl (4.1 MB view details)

Uploaded CPython 2.7m

File details

Details for the file tables-3.4.0.tar.gz.

File metadata

  • Download URL: tables-3.4.0.tar.gz
  • Upload date:
  • Size: 7.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for tables-3.4.0.tar.gz
Algorithm Hash digest
SHA256 bdd1e3a55b9bfe1c518c874fc730ac34ca42ff7d505e6947229f8a9e5572cac4
MD5 5bcb2b4d2ae9f0e78b90f313aa4865bd
BLAKE2b-256 59fbac97f34f6cd1863a4a7709fc0dd907efcfe5d10adeba152f20d5e5897d08

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 c1313a7fc4d861d37908cc483725645f1d5dbfdf885ea43719385cbb7e26a3ce
MD5 36b0dc7d7e9c37eda846231269af9a09
BLAKE2b-256 4a8abe65e2248486303574e92ff052730534720f4e14e85827b44082230be71c

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp36-cp36m-win32.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 c8bb1536b632b0c3f14826adff841ee611f934cf0dcf3dada7b924974410017e
MD5 8c823fd99c2e67f80c66189d46832cc1
BLAKE2b-256 5a5ff4db88f820a7efd7c03bfb014aed09d5c0c119047247b14aa2a0317348f6

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1ffcb68c38bd6cdd8a7a82c0aadff2464270a95fa6248bb3085e36db4e345d7d
MD5 0050a6f1913219ebf78a34c80b184455
BLAKE2b-256 c1c4527dcb7eb16ce0d902e66304c644a7925e79460acbc47087126afe125354

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp36-cp36m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 73455a39f5ede47ee6e207025810d0f9c162aed332d138803e1a924c91811476
MD5 731b051e4212e851b7e45b944a8cb881
BLAKE2b-256 a39c9b29c96330baf72fafbbbc119c5957a8b611202272feb76c374d9e703630

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 1555f5491480326270acd99faeda08b66315c7cebc9aa0ca470a1d1cebd90cbd
MD5 5ac0838626eb8725ef3608b639ed378b
BLAKE2b-256 b2387216a0dcf79677bf7cfca4fcdeacd41b2e603c01e10be2b42c1f227eaa7e

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp35-cp35m-win32.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 59553b1bf618e7cf08eb4a2464dee20adab793e67567b2bc5bd19e09eb087ed1
MD5 0552c16407efdf49b5c3a882a8fd658d
BLAKE2b-256 e564b50671df8f60511c61a81b2487e4169bd745a3641f69b2222271e9812b3a

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 64b8987d100ba9063bb054f96f35acbde2166a48a797f15c6e402fb9f2f6fc99
MD5 6d1f336a60df33229514ce16ac3bf99f
BLAKE2b-256 d3eb6991905e58c8e3be49650e36b066943bde954931874ee24e23fea256ccbf

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp35-cp35m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp35-cp35m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 eb139894d281f1ca4869c8ae789d2efc17f7b318af59d5b81864557cdfd1b85d
MD5 84e378df216a22e5bdbf6b5b1fdd7952
BLAKE2b-256 053aa14214d588d543b0988d63b69a24ba5a20ac000e139121b0052e3efa31e4

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 156461ac833874fcc2bacc8a53c5238d7026f4d5b0a74bafc43b40bf51a52526
MD5 9cda976cc11000870a595ff1a1967738
BLAKE2b-256 9031db053cb5c82513cbcdadd2d6afaf885db3da36b3b705fe78443848fdec33

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp27-cp27mu-manylinux1_i686.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp27-cp27mu-manylinux1_i686.whl
Algorithm Hash digest
SHA256 5f8ee5297f07e05339a2f865fcdf7d9389c7e4fbef842e48b8b239853d06b586
MD5 b84c0de523cd25fabfb4d7845e8a390e
BLAKE2b-256 16f069030bd565493e421d696c582b5fa005e008f16b8de3ee713db80d8d9fa2

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp27-cp27m-win_amd64.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 7f2903a88392f0dc3a1a19c5ab256972183b068e97537ccd0642ec2972aa1696
MD5 dd2d701d72d7feb92feb13024bea583b
BLAKE2b-256 a2ce2f2bc3a33de70aef9d45fc0f1a91943347dfa2e9891c4e30824c6d1eec24

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp27-cp27m-win32.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 499684e58fb42778564d739c83acf0467465121e06549945fd74fecefc8c465f
MD5 ff9f75cb1d6647f777124ac0de9e3e04
BLAKE2b-256 f4df50e897fa7ef32ce1de712baac60b00f359f13dd758c7dd74faf7abc1bcc4

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c2a188ebd95ec0fa5c97b4468cb72afd26daf0cbccbb1561f464701b3189af2a
MD5 40aa0d2360124170c1cb2c8bd586f322
BLAKE2b-256 0e7dc3153e796f8bbf4c09db3504615f7f0a75f5f14739852663aa8345a43a74

See more details on using hashes here.

File details

Details for the file tables-3.4.0-cp27-cp27m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for tables-3.4.0-cp27-cp27m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 227130d118aa62a936c6b4e897859bcbda60e0b368ef3fcb6e50e3f9395464fe
MD5 7bd99bfe8b539045b18801f85e9baaa3
BLAKE2b-256 124a82cc1b68a50c0cf10ed66f4e2b009149cbf504d213c76b069525f030a967

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