psycopg2 - Python-PostgreSQL Database Adapter

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for piro from gravatar.com piro

Unverified details

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

Project description

Psycopg is the most popular PostgreSQL database adapter for the Python programming language. Its main features are the complete implementation of the Python DB API 2.0 specification and the thread safety (several threads can share the same connection). It was designed for heavily multi-threaded applications that create and destroy lots of cursors and make a large number of concurrent “INSERT”s or “UPDATE”s.

Psycopg 2 is mostly implemented in C as a libpq wrapper, resulting in being both efficient and secure. It features client-side and server-side cursors, asynchronous communication and notifications, “COPY TO/COPY FROM” support. Many Python types are supported out-of-the-box and adapted to matching PostgreSQL data types; adaptation can be extended and customized thanks to a flexible objects adaptation system.

Psycopg 2 is both Unicode and Python 3 friendly.

Documentation

Documentation is included in the doc directory and is available online.

For any other resource (source code repository, bug tracker, mailing list) please check the project homepage.

Installation

Building Psycopg requires a few prerequisites (a C compiler, some development packages): please check the install and the faq documents in the doc dir or online for the details.

If prerequisites are met, you can install psycopg like any other Python package, using pip to download it from PyPI:

$ pip install psycopg2

or using setup.py if you have downloaded the source package locally:

$ python setup.py build
$ sudo python setup.py install

You can also obtain a stand-alone package, not requiring a compiler or external libraries, by installing the psycopg2-binary package from PyPI:

$ pip install psycopg2-binary

The binary package is a practical choice for development and testing but in production it is advised to use the package built from sources.

Linux/OSX:

Linux and OSX build status

Windows:

Windows build status

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for piro from gravatar.com piro

Unverified details

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

Release history Release notifications | RSS feed

2.9.10

2.9.9

2.9.8

2.9.7

2.9.6

2.9.5

2.9.4

2.9.3

2.9.2

2.9.1

This version

2.9

2.8.6

2.8.5

2.8.4

2.8.3

2.8.2

2.8.1

2.8

2.7.7

2.7.6.1

2.7.6

2.7.5

2.7.4

2.7.3.2

Download files

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

Source Distribution

psycopg2-binary-2.9.tar.gz (379.8 kB view details)

Uploaded Source

Built Distributions

psycopg2_binary-2.9-cp39-cp39-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.9 Windows x86-64

psycopg2_binary-2.9-cp39-cp39-win32.whl (1.0 MB view details)

Uploaded CPython 3.9 Windows x86

psycopg2_binary-2.9-cp39-cp39-manylinux_2_24_ppc64le.whl (3.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.24+ ppc64le

psycopg2_binary-2.9-cp39-cp39-manylinux_2_24_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.24+ ARM64

psycopg2_binary-2.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

psycopg2_binary-2.9-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (3.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

psycopg2_binary-2.9-cp39-cp39-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.9 macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.14+ x86-64 macOS 10.9+ intel macOS 10.9+ x86-64

psycopg2_binary-2.9-cp38-cp38-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

psycopg2_binary-2.9-cp38-cp38-win32.whl (996.0 kB view details)

Uploaded CPython 3.8 Windows x86

psycopg2_binary-2.9-cp38-cp38-manylinux_2_24_ppc64le.whl (3.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.24+ ppc64le

psycopg2_binary-2.9-cp38-cp38-manylinux_2_24_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.24+ ARM64

psycopg2_binary-2.9-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

psycopg2_binary-2.9-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (3.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

psycopg2_binary-2.9-cp38-cp38-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.8 macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.14+ x86-64 macOS 10.9+ intel macOS 10.9+ x86-64

psycopg2_binary-2.9-cp37-cp37m-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.7m Windows x86-64

psycopg2_binary-2.9-cp37-cp37m-win32.whl (994.4 kB view details)

Uploaded CPython 3.7m Windows x86

psycopg2_binary-2.9-cp37-cp37m-manylinux_2_24_ppc64le.whl (3.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.24+ ppc64le

psycopg2_binary-2.9-cp37-cp37m-manylinux_2_24_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.24+ ARM64

psycopg2_binary-2.9-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

psycopg2_binary-2.9-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (3.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

psycopg2_binary-2.9-cp37-cp37m-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.7m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.14+ x86-64 macOS 10.9+ intel macOS 10.9+ x86-64

psycopg2_binary-2.9-cp36-cp36m-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.6m Windows x86-64

psycopg2_binary-2.9-cp36-cp36m-win32.whl (994.5 kB view details)

Uploaded CPython 3.6m Windows x86

psycopg2_binary-2.9-cp36-cp36m-manylinux_2_24_ppc64le.whl (3.9 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.24+ ppc64le

psycopg2_binary-2.9-cp36-cp36m-manylinux_2_24_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.24+ ARM64

psycopg2_binary-2.9-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

psycopg2_binary-2.9-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (3.4 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

psycopg2_binary-2.9-cp36-cp36m-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.6m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.14+ x86-64 macOS 10.9+ intel macOS 10.9+ x86-64

File details

Details for the file psycopg2-binary-2.9.tar.gz.

File metadata

  • Download URL: psycopg2-binary-2.9.tar.gz
  • Upload date:
  • Size: 379.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2-binary-2.9.tar.gz
Algorithm Hash digest
SHA256 5515c626df6ce6e9058883ace33fece4e32d3409eb70367cc62952f6d6a50dee
MD5 3d616a379bd7dd6699a2ee0abfaf2c8f
BLAKE2b-256 395554778407e306de1acd3c616dc6a04e3821effa52c21d6c688d4947878658

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a282a030a5043fc672d140aff673065dee1364a926dace88f37afc53a1c4b1a4
MD5 f39272bcba33b6fd8fb15873e25ad358
BLAKE2b-256 6edb953d075603adbe6af65cdd108a115acc3f55dab45d55ba25ce370f0c38cf

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp39-cp39-win32.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 307eda4f8df74e563584d0d7193ffed79d5c76018fc8bd0a0fc30609d171a796
MD5 e2afc37a315b6d71346eabdc99b6105c
BLAKE2b-256 6f134646d3afd6186756e6b12a34bfd24e20f1df99514418943346349135b9db

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp39-cp39-manylinux_2_24_ppc64le.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp39-cp39-manylinux_2_24_ppc64le.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.9, manylinux: glibc 2.24+ ppc64le
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp39-cp39-manylinux_2_24_ppc64le.whl
Algorithm Hash digest
SHA256 8909afa6d5e7fb08e145b321342346f37e299e065e3be662e6477e97bbbaf86b
MD5 04b219b260a32cec48c68d30770861c7
BLAKE2b-256 04f0770c143478df033c78c262a508fcfe8cca82d14e9406b67565a038ebc2b9

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp39-cp39-manylinux_2_24_aarch64.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp39-cp39-manylinux_2_24_aarch64.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.9, manylinux: glibc 2.24+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp39-cp39-manylinux_2_24_aarch64.whl
Algorithm Hash digest
SHA256 b1fe086276fffd608c2ffcdc03096164fdce3a8b9cd40197b9552766a5ee9147
MD5 ac660d8ef0a0b666c8a6272d3e8dd10f
BLAKE2b-256 42169c402908967b46b2c99b2566b1c267c138d864e89f32eb377f195942c3df

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7b23fc784f752b9681f3f183aa855d20f7e08ccdebbd6d38815852b2d1c9a40d
MD5 667c335e6e1191730dd22349bffccd6d
BLAKE2b-256 d8da7e848f206dd351d71e8c88db31275f92b1b08fe717cfb124fd7624fcf697

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 970491defd389815ec33dba22f7046fbe6e395f5df215b11c31af6e04af0fc17
MD5 b751357c5d542afea475962609d9a49b
BLAKE2b-256 46631e867b40bac84eeaaee38be27b8ed791e022e2a7ab9d22f5da4dd7a377e5

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp39-cp39-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp39-cp39-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 33684f12149493ff79c7086770a0ae4a01e5d57121d35bdd5099281f5123bb8e
MD5 ff4a329b15fc0620e582d760caaf9842
BLAKE2b-256 1223f7145c609dfd941592c472b966db52b9025d11645e612c90fc3ce0290d5f

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 beda57fd0a82df1666b884a5d746b410ad5441d29905e27bc57ed941bab1e99f
MD5 9d417ff71d6291c598f0044c65dd7f6a
BLAKE2b-256 f4b0d2d542565630317892002c4998ec42735df3db93877c889636ac3f3dc29f

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp38-cp38-win32.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp38-cp38-win32.whl
  • Upload date:
  • Size: 996.0 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 845e3e7f671560859bfbbc102f79e98d55a8dc5bc88f6026726e80f03a548288
MD5 ea2365cc58c53ffebae5a7d7ba726c7c
BLAKE2b-256 22d5902818f73433b4a258b20d465c422bbe87fd52728e156040c9611a8cfdf4

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp38-cp38-manylinux_2_24_ppc64le.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp38-cp38-manylinux_2_24_ppc64le.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.8, manylinux: glibc 2.24+ ppc64le
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp38-cp38-manylinux_2_24_ppc64le.whl
Algorithm Hash digest
SHA256 7bd70a1af75a12aac2535124e7411c2e645dd5f6756eac54f350e9f1d9cf1364
MD5 c5c00fbbbfcbd60fa5dd567335342c08
BLAKE2b-256 308458baa1574c2e5d3a9ee2522a4c7e24a60c76ee2b554d42410acd0c58c01d

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp38-cp38-manylinux_2_24_aarch64.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp38-cp38-manylinux_2_24_aarch64.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.8, manylinux: glibc 2.24+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp38-cp38-manylinux_2_24_aarch64.whl
Algorithm Hash digest
SHA256 1f1d4588baac29cce8b8488c33be87d729f359cab6902e95c6089c1815e4d5fe
MD5 d42d6b71d539fbd2e3177f80426fcf1d
BLAKE2b-256 57134a34b2c06e8285f2bdb4f900055d536ef943f0f2c9ecc9cfd2d7c813323b

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 987b996e4e6ac0f976269c55e63a7920c3695f34602cc8893daafa56abbb67e0
MD5 54e1dfaba486efe1a698d6666cc28526
BLAKE2b-256 05e400591e26c023896c64f3b20f829dd748f93e838b10b1b9845a58b46131c2

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 563c502f5602652c856a717c58e0d54bc229d912ec893367069b0a36ae57803f
MD5 88156269ea269f4ec661c07789551cba
BLAKE2b-256 9982a57d7fe2c66ff7f52315be2f5f5db3bcc48623b4a3e48062b9b90428b0f1

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp38-cp38-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp38-cp38-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 34aa54efce55652722e3f446ff2276542e880b55a088da629d39ad1430b99ada
MD5 26db3c71d2fdd6d2d6965b117b794f85
BLAKE2b-256 013f1e24af48cae67c5bbbd945d33abe6442ad3f44d05983fdb9ea6ab1008fa5

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 7d2512cc7d5e40d360e0c6bf064b2292cab7cd71e2f1e02dd19fda618fe2e387
MD5 1efc36e0bb334e147ffe8d4f114f320f
BLAKE2b-256 d821f8c3ede834da6f6352998b6c790c802cee5e5f71e90d3019dfba8e8538a0

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp37-cp37m-win32.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 994.4 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 b9b8c62051546f2bf526d8825aa64e65752598759de96b4515494a85baff3997
MD5 057790d0432772963f6fc8aba731cafb
BLAKE2b-256 999412c6d497a9e1e553786abb3ac2143ebdd6a84e1661b6b7d88c00df89919f

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp37-cp37m-manylinux_2_24_ppc64le.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp37-cp37m-manylinux_2_24_ppc64le.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.24+ ppc64le
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp37-cp37m-manylinux_2_24_ppc64le.whl
Algorithm Hash digest
SHA256 d63a56db4baa87f08f51fac8693d06b3d716d83e065eae2ca7d39dd4e17e4296
MD5 33595c81edad898f832a86c2a3b3b91a
BLAKE2b-256 5e940bff6a180a05c726268af0f2883e613b5efcd7df0549026a37ce33de71e2

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp37-cp37m-manylinux_2_24_aarch64.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp37-cp37m-manylinux_2_24_aarch64.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.24+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp37-cp37m-manylinux_2_24_aarch64.whl
Algorithm Hash digest
SHA256 1beea91a8c2fcd35e6f47cef49c165ad55d72ce1642e90da1be3d05fb781766a
MD5 1489bb362d16110807b6bf5e8a5fdbcf
BLAKE2b-256 d40ea7ce7e0d5de0d75ae317993c4fcd2c3b1a43125c2b2c96ffa59a1204d5e3

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 53a8ba53a174f6a7951c6c046703c73030558f66fa36158077d8708ecb47ed03
MD5 de0e5f5fd59048c64ae62f80cb69e0c1
BLAKE2b-256 b13106c646b95dcecb20d2d4cf0d992c15d04549871bd7d18154dfbe1337c2c0

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 650a702774db89afcb50421da812427baec9cdd9045cb315768c3086ea726a4d
MD5 bcd17da70bd7f9d583658fe5cf636a45
BLAKE2b-256 a3821943e9d59eafad27bf9998ee1dc8c0ec5ee3a149733f0bf3d101f6f719c7

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp37-cp37m-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp37-cp37m-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 ed97b701b913ac8446a0bfe703ab7c7b9857f712e085224eca00a0d69d89b934
MD5 4e004a0e3d02a164ce3962b932745694
BLAKE2b-256 5ee2f4624923f9e7484a649f9ce1a367da2641a49af2435f18816930854efc43

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1fc2fea01c8a11ae5e71b3bc3a612ce020e9859252daa9ac1abb28a6c5901ad5
MD5 56e4a1c14cadba19de953aa74178413f
BLAKE2b-256 31c47007fa308aa6d4e11315978e21030f2a68f8dcf014be4b57073c0e113cf2

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp36-cp36m-win32.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 994.5 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 49bccbf3e7e428c81bfbd0f25491758a339ef4be3f2ae5c14a63b1a356aee172
MD5 fc9b41d3dd6220b40d3471925ed1b91e
BLAKE2b-256 861dbdc0353eb44a6bd8cc0e5d03c9f4a55d3cf1698a463aaeee4ad2b8dafd46

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp36-cp36m-manylinux_2_24_ppc64le.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp36-cp36m-manylinux_2_24_ppc64le.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.24+ ppc64le
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp36-cp36m-manylinux_2_24_ppc64le.whl
Algorithm Hash digest
SHA256 4df2d889e597686c1060fd6aae0d0fd66c0de68d023dad79d615ba43949abbd3
MD5 9171e4e30375d16388dd6709a3975bc2
BLAKE2b-256 913a6fbca1ea14aa2daa8d607ad9f669c025f10a014516b4151e06bb7541ce7c

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp36-cp36m-manylinux_2_24_aarch64.whl.

File metadata

  • Download URL: psycopg2_binary-2.9-cp36-cp36m-manylinux_2_24_aarch64.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.24+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for psycopg2_binary-2.9-cp36-cp36m-manylinux_2_24_aarch64.whl
Algorithm Hash digest
SHA256 d1f123aba81c418451b1084a5d23c15c6aae0977ba97d6e880137384d33f2b07
MD5 67cc2ca1f78056807646f32f7741ce15
BLAKE2b-256 eeecbedf12b7eec811d7486b306b841ebe71751da50dae1dad381d12694038bc

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d466d6bceadf508a84e2fdea835de5ece7add51d3e67845f5775df2c76280407
MD5 67d3a2990f5118fe7e1bf9cdb1d311f5
BLAKE2b-256 01c10eefa8f6e2758f351fae34def41da9cf7cc612768447f39f47839b3c8044

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5b67a8b07f344b4f2787e39394a78e578b131a7395dcf66c76dfb6cb08cc7721
MD5 95d21092befea855507319c6a20451e6
BLAKE2b-256 c5d985e8479ab02cb6faf2d45084694e614eeef42e68c1803a216b7a6266b0c0

See more details on using hashes here.

Provenance

File details

Details for the file psycopg2_binary-2.9-cp36-cp36m-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for psycopg2_binary-2.9-cp36-cp36m-macosx_10_14_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 12111d1f85f4359e0855add57045666d9d46ed7f0ebaf6f3beaab31a53e2e200
MD5 78776b41fac1ed637b94bb0543425b8b
BLAKE2b-256 2c7ca3ee0060d8298944d6fb3001e008b2d2c5bf9bd2ff8d319534b6fc21614d

See more details on using hashes here.

Provenance

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