psycopg2

psycopg2 - Python-PostgreSQL Database Adapter

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.

Installation

If your pip version supports wheel packages it should be possible to install a binary version of Psycopg including all the dependencies. Just run:

pip install psycopg2

If you want to build Psycopg from source you will need some prerequisite (a C compiler, Python and libpq development packages). If you have what you need the standard:

python setup.py build
sudo python setup.py install

should work no problem. In case you have any problem check the ‘install’ and the ‘faq’ documents in the docs or online.

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

Linux/OSX:
Windows:

Project details

Release history Release notifications | RSS feed

2.9.1

Jun 17, 2021

2.9

Jun 16, 2021

2.8.6

Sep 6, 2020

2.8.5

Apr 6, 2020

2.8.4

Oct 20, 2019

2.8.3

Jun 13, 2019

2.8.2

Apr 14, 2019

2.8.1

Apr 6, 2019

2.8

Apr 4, 2019

2.7.7

Jan 22, 2019

2.7.6.1

Nov 11, 2018

2.7.6

Nov 9, 2018

2.7.5

Jun 17, 2018

2.7.4

Feb 8, 2018

2.7.3.2

Oct 24, 2017

2.7.3.1

Aug 26, 2017

2.7.3

Jul 24, 2017

2.7.2

Jul 22, 2017

This version

2.7.1

Mar 13, 2017

2.7

Mar 1, 2017

2.6.2

Jul 7, 2016

2.6.1

Jun 15, 2015

2.6

Feb 9, 2015

2.5.5

Feb 9, 2015

2.5.4

Aug 30, 2014

2.5.3

May 13, 2014

2.5.2

Jan 7, 2014

2.5.1

Jun 23, 2013

2.5

Apr 7, 2013

2.4.6

Dec 12, 2012

2.4.5

Mar 29, 2012

2.4.4

Dec 19, 2011

2.4.3

Dec 12, 2011

2.4.2

Jun 17, 2011

2.4.1

May 11, 2011

2.4

Feb 27, 2011

2.3.2

Feb 18, 2011

2.3.1

Dec 4, 2010

2.3.0

Dec 1, 2010

2.2.2

Jul 26, 2010

2.2.1

Jul 26, 2010

2.2.0

Jul 26, 2010

2.0.14

Apr 16, 2010

2.0.13

Apr 16, 2010

2.0.12

Aug 16, 2009

2.0.11

Jul 7, 2009

2.0.10

Jul 7, 2009

2.0.8

Feb 15, 2009

2.0.7

Feb 15, 2009

2.0.6

Feb 15, 2009

2.0.5.1

Dec 2, 2006

2.0.4

Sep 1, 2006

2.0.3

Sep 1, 2006

2.0.2

Jun 12, 2006

Download files

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

Files for psycopg2, version 2.7.1
Filename, size	File type	Python version	Upload date	Hashes
Filename, size psycopg2-2.7.1-cp26-cp26m-manylinux1_i686.whl (2.4 MB)	File type Wheel	Python version cp26	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp26-cp26m-manylinux1_x86_64.whl (2.7 MB)	File type Wheel	Python version cp26	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp26-cp26mu-manylinux1_i686.whl (2.4 MB)	File type Wheel	Python version cp26	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp26-cp26mu-manylinux1_x86_64.whl (2.7 MB)	File type Wheel	Python version cp26	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.5 MB)	File type Wheel	Python version cp27	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp27-cp27m-manylinux1_i686.whl (2.4 MB)	File type Wheel	Python version cp27	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp27-cp27m-manylinux1_x86_64.whl (2.7 MB)	File type Wheel	Python version cp27	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp27-cp27mu-manylinux1_i686.whl (2.4 MB)	File type Wheel	Python version cp27	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp27-cp27mu-manylinux1_x86_64.whl (2.7 MB)	File type Wheel	Python version cp27	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp27-cp27m-win32.whl (805.2 kB)	File type Wheel	Python version cp27	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp27-cp27m-win_amd64.whl (930.3 kB)	File type Wheel	Python version cp27	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp33-cp33m-manylinux1_i686.whl (2.4 MB)	File type Wheel	Python version cp33	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp33-cp33m-manylinux1_x86_64.whl (2.6 MB)	File type Wheel	Python version cp33	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp33-cp33m-win32.whl (809.6 kB)	File type Wheel	Python version cp33	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp33-cp33m-win_amd64.whl (928.6 kB)	File type Wheel	Python version cp33	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.5 MB)	File type Wheel	Python version cp34	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp34-cp34m-manylinux1_i686.whl (2.4 MB)	File type Wheel	Python version cp34	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp34-cp34m-manylinux1_x86_64.whl (2.7 MB)	File type Wheel	Python version cp34	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp34-cp34m-win32.whl (809.4 kB)	File type Wheel	Python version cp34	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp34-cp34m-win_amd64.whl (928.6 kB)	File type Wheel	Python version cp34	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.5 MB)	File type Wheel	Python version cp35	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp35-cp35m-manylinux1_i686.whl (2.4 MB)	File type Wheel	Python version cp35	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp35-cp35m-manylinux1_x86_64.whl (2.7 MB)	File type Wheel	Python version cp35	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp35-cp35m-win32.whl (800.5 kB)	File type Wheel	Python version cp35	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp35-cp35m-win_amd64.whl (939.3 kB)	File type Wheel	Python version cp35	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.5 MB)	File type Wheel	Python version cp36	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp36-cp36m-manylinux1_i686.whl (2.4 MB)	File type Wheel	Python version cp36	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp36-cp36m-manylinux1_x86_64.whl (2.7 MB)	File type Wheel	Python version cp36	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp36-cp36m-win32.whl (800.4 kB)	File type Wheel	Python version cp36	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1-cp36-cp36m-win_amd64.whl (939.2 kB)	File type Wheel	Python version cp36	Upload date Mar 13, 2017	Hashes View
Filename, size psycopg2-2.7.1.tar.gz (421.0 kB)	File type Source	Python version None	Upload date Mar 13, 2017	Hashes View

Hashes for psycopg2-2.7.1-cp26-cp26m-manylinux1_i686.whl

Hashes for psycopg2-2.7.1-cp26-cp26m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`f4cc27830081147ebca6eb729329c64b7f8e92e415733aa26705dd9f03303038`
MD5	`f7f8ab40f64fd1b24518bb603c958b32`
BLAKE2-256	`5bfea2baea84fd2c8fbc889648b7875625f46cecab1cbd5fad2aaa7d192a37c1`

Hashes for psycopg2-2.7.1-cp26-cp26m-manylinux1_x86_64.whl

Hashes for psycopg2-2.7.1-cp26-cp26m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`34b7e41d1747b26df3baf5397949cc938261c547f3bce208ffc7826c3897d5ac`
MD5	`551fae86c339f35ccee52ddd84871855`
BLAKE2-256	`65ad9bad99ef84a3c87511526aa8f9e372b9d60921b255939e645401c85b2c33`

Hashes for psycopg2-2.7.1-cp26-cp26mu-manylinux1_i686.whl

Hashes for psycopg2-2.7.1-cp26-cp26mu-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`2a9c4bc78922be9d34a11fc38b75bef122d44f465eaf5f2a44021f7cbda3dfd6`
MD5	`22906ab4d12016a8930bd4736682c3f6`
BLAKE2-256	`657f41d0dabcd7b28d92790963b29b48bd4651843007e64d1b93bf221d83565c`

Hashes for psycopg2-2.7.1-cp26-cp26mu-manylinux1_x86_64.whl

Hashes for psycopg2-2.7.1-cp26-cp26mu-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`9f9de8b5e1b0b648bf4535b721a58eaccf92f747cd8d94380171a36f18553601`
MD5	`58182587d37cd3946bb8c79915181b33`
BLAKE2-256	`63a2926bbda404f4135bc999ecbe03097bcf40cabdb04ae0421085a6796268f4`

Hashes for psycopg2-2.7.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Hashes for psycopg2-2.7.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm	Hash digest
SHA256	`0c68fb507415ce022402244cffe740018c9506367fe2d6323f0b47e2544b6b36`
MD5	`a9e0f47807e66d6284594b68ac263977`
BLAKE2-256	`e464f44c2b3e044412e6f3f6db2e4bf5300411168408c19a2cef62f49445ba5f`

Hashes for psycopg2-2.7.1-cp27-cp27m-manylinux1_i686.whl

Hashes for psycopg2-2.7.1-cp27-cp27m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`0147e990cef0332e239de711f165b2a5e6feb7c5f8583985d4a3dcac1680a782`
MD5	`651db5b3002fe2d1fd1325d455c233db`
BLAKE2-256	`f71296191443eb506d6c644a509eee3ca7ac5d32f16d89f0a01a3497df30e9aa`

Hashes for psycopg2-2.7.1-cp27-cp27m-manylinux1_x86_64.whl

Hashes for psycopg2-2.7.1-cp27-cp27m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`f1f6d1b0ab40e8d43e294c7a1cc6fe6d47a88225583e581c15e8bfcff04b3863`
MD5	`c26092b85c2710b6cd66f3cc3ef03994`
BLAKE2-256	`d4a5a6948a4a294818780333561096cd7196f48ce0760ef1464c251bf873892d`

Hashes for psycopg2-2.7.1-cp27-cp27mu-manylinux1_i686.whl

Hashes for psycopg2-2.7.1-cp27-cp27mu-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`18c2294c2a0a0df6bb5adfbcae50922b0e75909df8642c9286bf6b867866d181`
MD5	`2368280b0f3346d4d58a6f98c5601a9b`
BLAKE2-256	`8ecd242dc89d9ec7d067f55281b36bf0b63e5fc50dcfe2a85facca6c58808dc9`

Hashes for psycopg2-2.7.1-cp27-cp27mu-manylinux1_x86_64.whl

Hashes for psycopg2-2.7.1-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`bf48be2d01f6e34e5fbd8976f7b66158a83a33b92739acd13fc1934c60b71cfb`
MD5	`ad013c850f8f7dbb86fff3e878f36c6a`
BLAKE2-256	`6a847289d6c2b26943b5d1e2e67dde3961babd62df8c742b243bc7c6bfc35230`

Hashes for psycopg2-2.7.1-cp27-cp27m-win32.whl

Hashes for psycopg2-2.7.1-cp27-cp27m-win32.whl
Algorithm	Hash digest
SHA256	`d2e98ff1546c632c29f740a938ba6e29d327ef55f3e816dd43c1e4e7d8cd369a`
MD5	`99a699dd9c2c35eacf188d37c5d82880`
BLAKE2-256	`900548eec5d86bf58f89eaea5c01cbf4c90e7bd953d423aa906981ba0490911b`

Hashes for psycopg2-2.7.1-cp27-cp27m-win_amd64.whl

Hashes for psycopg2-2.7.1-cp27-cp27m-win_amd64.whl
Algorithm	Hash digest
SHA256	`4004e84c2846badfa1e14ba3cf5b9d7471071c872c1dd6290013c89fa2cc63b1`
MD5	`d3ca48f64d8746e48a75d6aaa57b720f`
BLAKE2-256	`5642373df2223b2c9c8a88b370c95ffc45f199b2cf7dcf02658ee2228a4de0ad`

Hashes for psycopg2-2.7.1-cp33-cp33m-manylinux1_i686.whl

Hashes for psycopg2-2.7.1-cp33-cp33m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`26551d8873130b9558628c5f0288bd07b00c3f82f7dbfe0acf3cd7cd45746672`
MD5	`03de34a8abb2cc030bc001ccaacc80c5`
BLAKE2-256	`450aa06d1b2228ad805986e7e09d5f2e5b970ad84f98f79109669e5918d0f1db`

Hashes for psycopg2-2.7.1-cp33-cp33m-manylinux1_x86_64.whl

Hashes for psycopg2-2.7.1-cp33-cp33m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`304304e8efce4077621f9a14cb7e53cdacb4a14ec92f5628204bc4254d4840fb`
MD5	`46b715cab3f506a8894b5c6dc28eeed8`
BLAKE2-256	`426fc3ebc383a336d635989ce8d0e7bba76085bb55155559dd63b41cc4727c3c`

Hashes for psycopg2-2.7.1-cp33-cp33m-win32.whl

Hashes for psycopg2-2.7.1-cp33-cp33m-win32.whl
Algorithm	Hash digest
SHA256	`6b26f9ec7a0c5ca1b3528918caeb3c73bfceaced3fdea59d045c886cc2c43344`
MD5	`9a8f6397921c6c3a0dd697231729c579`
BLAKE2-256	`33c7bbdcbf936e802189c1d18f46640f04ea50ff246af136bd3eb6d65abb82df`

Hashes for psycopg2-2.7.1-cp33-cp33m-win_amd64.whl

Hashes for psycopg2-2.7.1-cp33-cp33m-win_amd64.whl
Algorithm	Hash digest
SHA256	`a14bd664f4db452612688e8031fdf74da489cb042d78d49f2bbfcfa97aae135d`
MD5	`48336f667a1faab37300a3b18820631a`
BLAKE2-256	`2c9e486e5b2abd4609d474bd5deb9a0206c067a4944fbf988e9147fadb70ddb8`

Hashes for psycopg2-2.7.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Hashes for psycopg2-2.7.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm	Hash digest
SHA256	`ad0e145952e2e91aa1d80c4b9bd8ba9059f39b3538da7b1133b2ed84eb132ed3`
MD5	`3c0f4ef6ef58066e311dcbda6bc07bde`
BLAKE2-256	`4799345a33bd66d301fc37fd5503a4622251f458d980e023e840355d44a75f9b`

Hashes for psycopg2-2.7.1-cp34-cp34m-manylinux1_i686.whl

Hashes for psycopg2-2.7.1-cp34-cp34m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`905764e8d1557e536c9fac35d412a21ad87b558e794104437bf4012a83438ed2`
MD5	`ba76864138251fdab8aa3ce1749ed700`
BLAKE2-256	`ca8fc817b9c9871fb853ecf0b12aea2a0382d0f6ad4441b913818aa6b7e24bba`

Hashes for psycopg2-2.7.1-cp34-cp34m-manylinux1_x86_64.whl

Hashes for psycopg2-2.7.1-cp34-cp34m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`f04d56f664108af9571d278c0ed942ecef0dd3e072fe21ac8c7497a51bfcdfba`
MD5	`d33d90ce3c1deda04ee208f075212bda`
BLAKE2-256	`1363b24b449c28bceafad7fbbcee6dddf9ab30c297173b9a36f8ca36ad261ca3`

Hashes for psycopg2-2.7.1-cp34-cp34m-win32.whl

Hashes for psycopg2-2.7.1-cp34-cp34m-win32.whl
Algorithm	Hash digest
SHA256	`3a11a757e61e3eb5dfa334cf0ce86f9fa1919efadbb98af833eaf3bcb90d7e58`
MD5	`e868ad07c08a80f7b0788e8117914851`
BLAKE2-256	`7475baf91610360ca92582042ab1c48e6ec762aa757fa7e99f35081864d80eb2`

Hashes for psycopg2-2.7.1-cp34-cp34m-win_amd64.whl

Hashes for psycopg2-2.7.1-cp34-cp34m-win_amd64.whl
Algorithm	Hash digest
SHA256	`ccd55766033411206d700bcd11e064081f784f256c4d4f6883dca4c3bde21ae2`
MD5	`c4794336494847032881dbcf114bc8c1`
BLAKE2-256	`8243361c634d721e186903106cf48f4e2e591d0484dafbc44ae772c718cc1ec5`

Hashes for psycopg2-2.7.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Hashes for psycopg2-2.7.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm	Hash digest
SHA256	`38ff8f65deb947a7499f24ceb5b40db24540027fdf7d927f4d2aab35fbbdd6b0`
MD5	`3e1899515f5de3a35726b577ff5b0f7a`
BLAKE2-256	`d2cb40d392e1855b7a1806433d3ee675f343c6542419e38618412131d25028fa`

Hashes for psycopg2-2.7.1-cp35-cp35m-manylinux1_i686.whl

Hashes for psycopg2-2.7.1-cp35-cp35m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`3f64897312a08928e71343fedc2a3812a1c46f03025fe327e5d41e0a7be53ee9`
MD5	`9580d08ef9af83422bf30ae3c39383e2`
BLAKE2-256	`d9bb72cdfb15d4b06b5ff58f111f583e8c4cfabb1d37065737c49a36147ac342`

Hashes for psycopg2-2.7.1-cp35-cp35m-manylinux1_x86_64.whl

Hashes for psycopg2-2.7.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`9c9fe11f87c44e83620b2273f40338e3c25fdbfd34986dddc77e840e0acd25bc`
MD5	`f183544a6ba2839ee1930f57c1e7cba2`
BLAKE2-256	`f6402c46b72b4d78e7e9241426e6f60302ae1b38acac805f4c93346db64f6b70`

Hashes for psycopg2-2.7.1-cp35-cp35m-win32.whl

Hashes for psycopg2-2.7.1-cp35-cp35m-win32.whl
Algorithm	Hash digest
SHA256	`32184c60b445ac9eb4a0058d54f7a5dddae6928f94dfa3683157dc5e70321212`
MD5	`27faa478671d78a5ca5521a39d722396`
BLAKE2-256	`33b6d1d0cb56bd7fd41f6fe6192afdf27111fade5afb65b6e762ca7f3545b6cf`

Hashes for psycopg2-2.7.1-cp35-cp35m-win_amd64.whl

Hashes for psycopg2-2.7.1-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`b4f24faa25232073092d246fc6118c29130c8a5bcc8fd4239edeba20fb12b24a`
MD5	`859349f203ccc66316050493f87251d5`
BLAKE2-256	`1c0f0a5887a288d58b5bcb01e611b9a8f37376f5db3b4eff5766724266a9ad06`

Hashes for psycopg2-2.7.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Hashes for psycopg2-2.7.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm	Hash digest
SHA256	`74ee532d6068a1456d5eda254513656c716cdee0a7389c91c094c7ce3500a9c9`
MD5	`8fa956a0c52aacb3e2761680aafbd91b`
BLAKE2-256	`f44f668d3afcb216a1bf639e95067342a89176a91f20672a5684f281a9ca0292`

Hashes for psycopg2-2.7.1-cp36-cp36m-manylinux1_i686.whl

Hashes for psycopg2-2.7.1-cp36-cp36m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`ba6f4786262b4999f9cca420827469c88a79e1f65dabf6bb8a300518f7e11472`
MD5	`aa617b525dd7a17200269f91d18ba542`
BLAKE2-256	`da009c3b3940594f303595182942b707f67968898e9e21202108dfa78d5165e1`

Hashes for psycopg2-2.7.1-cp36-cp36m-manylinux1_x86_64.whl

Hashes for psycopg2-2.7.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`4cae3856e9b41a4861ad32fd8a4aabc7669a0b828776bb3ce0ca29333dabf40c`
MD5	`887f0dbd8790b45c5be154a5d328e17c`
BLAKE2-256	`90bbfd1a81e1a51b2df2d825e778fd58d508a4fc9ab360684348222bda3ff704`

Hashes for psycopg2-2.7.1-cp36-cp36m-win32.whl

Hashes for psycopg2-2.7.1-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`8f57535a377c23a78d5a8bbe929ec6977adb3e137fa42500436c784c60141613`
MD5	`b3e906c66b41b1544393f95d38bc6b85`
BLAKE2-256	`c977cbe20f0ac2527b879a63eab1f9027e5236b4db76ca83321c00e8d4c8d669`

Hashes for psycopg2-2.7.1-cp36-cp36m-win_amd64.whl

Hashes for psycopg2-2.7.1-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`911af115bb526b3a5d2f50e05096afc05e3867f55f24532b4a70811e63deab57`
MD5	`121aa8ccd28e3dc93993f5667660478d`
BLAKE2-256	`1012dd2d3bd7bd9e2a728b709d19e4546ea258fa6bb4ed301c5d33ae0fb1323e`

Hashes for psycopg2-2.7.1.tar.gz

Hashes for psycopg2-2.7.1.tar.gz
Algorithm	Hash digest
SHA256	`86c9355f5374b008c8479bc00023b295c07d508f7c3b91dbd2e74f8925b1d9c6`
MD5	`67848ac33af88336046802f6ef7081f3`
BLAKE2-256	`f8e95793369ce8a41bf5467623ded8d59a434dfef9c136351aca4e70c2657ba0`