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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:

Linux and OSX build status

Windows:

Windows build status

Project details


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psycopg2-2.7.1.tar.gz (421.0 kB view hashes)

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psycopg2-2.7.1-cp36-cp36m-win_amd64.whl (939.2 kB view hashes)

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psycopg2-2.7.1-cp36-cp36m-win32.whl (800.4 kB view hashes)

Uploaded CPython 3.6m Windows x86

psycopg2-2.7.1-cp36-cp36m-manylinux1_x86_64.whl (2.7 MB view hashes)

Uploaded CPython 3.6m

psycopg2-2.7.1-cp36-cp36m-manylinux1_i686.whl (2.4 MB view hashes)

Uploaded CPython 3.6m

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 view hashes)

Uploaded CPython 3.6m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

psycopg2-2.7.1-cp35-cp35m-win_amd64.whl (939.3 kB view hashes)

Uploaded CPython 3.5m Windows x86-64

psycopg2-2.7.1-cp35-cp35m-win32.whl (800.5 kB view hashes)

Uploaded CPython 3.5m Windows x86

psycopg2-2.7.1-cp35-cp35m-manylinux1_x86_64.whl (2.7 MB view hashes)

Uploaded CPython 3.5m

psycopg2-2.7.1-cp35-cp35m-manylinux1_i686.whl (2.4 MB view hashes)

Uploaded CPython 3.5m

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 view hashes)

Uploaded CPython 3.5m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

psycopg2-2.7.1-cp34-cp34m-win_amd64.whl (928.6 kB view hashes)

Uploaded CPython 3.4m Windows x86-64

psycopg2-2.7.1-cp34-cp34m-win32.whl (809.4 kB view hashes)

Uploaded CPython 3.4m Windows x86

psycopg2-2.7.1-cp34-cp34m-manylinux1_x86_64.whl (2.7 MB view hashes)

Uploaded CPython 3.4m

psycopg2-2.7.1-cp34-cp34m-manylinux1_i686.whl (2.4 MB view hashes)

Uploaded CPython 3.4m

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 view hashes)

Uploaded CPython 3.4m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

psycopg2-2.7.1-cp33-cp33m-win_amd64.whl (928.6 kB view hashes)

Uploaded CPython 3.3m Windows x86-64

psycopg2-2.7.1-cp33-cp33m-win32.whl (809.6 kB view hashes)

Uploaded CPython 3.3m Windows x86

psycopg2-2.7.1-cp33-cp33m-manylinux1_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.3m

psycopg2-2.7.1-cp33-cp33m-manylinux1_i686.whl (2.4 MB view hashes)

Uploaded CPython 3.3m

psycopg2-2.7.1-cp27-cp27mu-manylinux1_x86_64.whl (2.7 MB view hashes)

Uploaded CPython 2.7mu

psycopg2-2.7.1-cp27-cp27mu-manylinux1_i686.whl (2.4 MB view hashes)

Uploaded CPython 2.7mu

psycopg2-2.7.1-cp27-cp27m-win_amd64.whl (930.3 kB view hashes)

Uploaded CPython 2.7m Windows x86-64

psycopg2-2.7.1-cp27-cp27m-win32.whl (805.2 kB view hashes)

Uploaded CPython 2.7m Windows x86

psycopg2-2.7.1-cp27-cp27m-manylinux1_x86_64.whl (2.7 MB view hashes)

Uploaded CPython 2.7m

psycopg2-2.7.1-cp27-cp27m-manylinux1_i686.whl (2.4 MB view hashes)

Uploaded CPython 2.7m

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 view hashes)

Uploaded CPython 2.7m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

psycopg2-2.7.1-cp26-cp26mu-manylinux1_x86_64.whl (2.7 MB view hashes)

Uploaded CPython 2.6mu

psycopg2-2.7.1-cp26-cp26mu-manylinux1_i686.whl (2.4 MB view hashes)

Uploaded CPython 2.6mu

psycopg2-2.7.1-cp26-cp26m-manylinux1_x86_64.whl (2.7 MB view hashes)

Uploaded CPython 2.6m

psycopg2-2.7.1-cp26-cp26m-manylinux1_i686.whl (2.4 MB view hashes)

Uploaded CPython 2.6m

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