DB API module for ODBC

Navigation

Verified details

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

Unverified details

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

Project description

pyodbc

Windows build Ubuntu build PyPI

pyodbc is an open source Python module that makes accessing ODBC databases simple. It implements the DB API 2.0 specification but is packed with even more Pythonic convenience.

The easiest way to install pyodbc is to use pip:

python -m pip install pyodbc

On Macs, you should probably install unixODBC first if you don't already have an ODBC driver manager installed. For example, using the homebrew package manager:

brew install unixodbc
python -m pip install pyodbc

Similarly, on Unix you should make sure you have an ODBC driver manager installed before installing pyodbc. See the docs for more information about how to do this on different Unix flavors. (On Windows, the ODBC driver manager is built-in.)

Precompiled binary wheels are provided for multiple Python versions on most Windows, macOS, and Linux platforms. On other platforms pyodbc will be built from the source code. Note, pyodbc contains C++ extensions so you will need a suitable C++ compiler when building from source. See the docs for details.

Documentation

Release Notes

Project details

Verified details

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

Unverified details

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

Release history Release notifications | RSS feed

This version

5.2.0

5.1.0

5.0.1

5.0.0

5.0.0b3 pre-release

5.0.0b2 pre-release

5.0.0b1 pre-release

5.0.0a2 pre-release

4.0.39

4.0.38 yanked

Reason this release was yanked:

Critical bug in Row.__repr__

4.0.35

4.0.34

4.0.32

4.0.31

4.0.30

4.0.30b1 pre-release

4.0.28

4.0.27

4.0.26

4.0.25

4.0.24

4.0.23

4.0.22

4.0.21

4.0.20

4.0.19

4.0.18

4.0.17

4.0.16

4.0.15

4.0.14

4.0.13

4.0.12

4.0.11

4.0.10

4.0.9

4.0.8

4.0.7

4.0.6

4.0.5

4.0.3

4.0.2

4.0.1

4.0.0

3.1.1

3.0.10

3.0.9

3.0.8

3.0.7

3.0.6

3.0.3

3.0.2

2.1.11

2.1.10

2.1.9

2.1.8

2.1.7

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

Download files

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

Source Distribution

pyodbc-5.2.0.tar.gz (116.9 kB view details)

Uploaded Source

Built Distributions

pyodbc-5.2.0-cp313-cp313-win_amd64.whl (69.5 kB view details)

Uploaded CPython 3.13 Windows x86-64

pyodbc-5.2.0-cp313-cp313-win32.whl (63.1 kB view details)

Uploaded CPython 3.13 Windows x86

pyodbc-5.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (353.0 kB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ x86-64

pyodbc-5.2.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (347.5 kB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ ARM64

pyodbc-5.2.0-cp313-cp313-macosx_11_0_arm64.whl (72.5 kB view details)

Uploaded CPython 3.13 macOS 11.0+ ARM64

pyodbc-5.2.0-cp313-cp313-macosx_10_13_x86_64.whl (73.0 kB view details)

Uploaded CPython 3.13 macOS 10.13+ x86-64

pyodbc-5.2.0-cp312-cp312-win_amd64.whl (69.5 kB view details)

Uploaded CPython 3.12 Windows x86-64

pyodbc-5.2.0-cp312-cp312-win32.whl (63.0 kB view details)

Uploaded CPython 3.12 Windows x86

pyodbc-5.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (354.0 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pyodbc-5.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (348.6 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pyodbc-5.2.0-cp312-cp312-macosx_11_0_arm64.whl (72.5 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

pyodbc-5.2.0-cp312-cp312-macosx_10_13_x86_64.whl (73.0 kB view details)

Uploaded CPython 3.12 macOS 10.13+ x86-64

pyodbc-5.2.0-cp311-cp311-win_amd64.whl (68.9 kB view details)

Uploaded CPython 3.11 Windows x86-64

pyodbc-5.2.0-cp311-cp311-win32.whl (62.4 kB view details)

Uploaded CPython 3.11 Windows x86

pyodbc-5.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (346.2 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pyodbc-5.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (342.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pyodbc-5.2.0-cp311-cp311-macosx_11_0_arm64.whl (71.8 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pyodbc-5.2.0-cp311-cp311-macosx_10_9_x86_64.whl (72.5 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

pyodbc-5.2.0-cp310-cp310-win_amd64.whl (68.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

pyodbc-5.2.0-cp310-cp310-win32.whl (62.4 kB view details)

Uploaded CPython 3.10 Windows x86

pyodbc-5.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (336.0 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pyodbc-5.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (332.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pyodbc-5.2.0-cp310-cp310-macosx_11_0_arm64.whl (71.8 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pyodbc-5.2.0-cp310-cp310-macosx_10_9_x86_64.whl (72.5 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

pyodbc-5.2.0-cp39-cp39-win_amd64.whl (69.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

pyodbc-5.2.0-cp39-cp39-win32.whl (62.4 kB view details)

Uploaded CPython 3.9 Windows x86

pyodbc-5.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (333.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pyodbc-5.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (329.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pyodbc-5.2.0-cp39-cp39-macosx_11_0_arm64.whl (71.9 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pyodbc-5.2.0-cp39-cp39-macosx_10_9_x86_64.whl (72.4 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pyodbc-5.2.0-cp38-cp38-win_amd64.whl (68.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

pyodbc-5.2.0-cp38-cp38-win32.whl (62.4 kB view details)

Uploaded CPython 3.8 Windows x86

pyodbc-5.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (338.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pyodbc-5.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (334.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pyodbc-5.2.0-cp38-cp38-macosx_11_0_arm64.whl (71.8 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

pyodbc-5.2.0-cp38-cp38-macosx_10_9_x86_64.whl (72.5 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file pyodbc-5.2.0.tar.gz.

File metadata

  • Download URL: pyodbc-5.2.0.tar.gz
  • Upload date:
  • Size: 116.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0.tar.gz
Algorithm Hash digest
SHA256 de8be39809c8ddeeee26a4b876a6463529cd487a60d1393eb2a93e9bcd44a8f5
MD5 4d3cad1f8eddbdfd9e9ba3a320d7d53d
BLAKE2b-256 a036a1ac7d23a1611e7ccd4d27df096f3794e8d1e7faa040260d9d41b6fc3185

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 69.5 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 96d3127f28c0dacf18da7ae009cd48eac532d3dcc718a334b86a3c65f6a5ef5c
MD5 b0198a36cb19fff31a0d337d3462c121
BLAKE2b-256 732a3219c8b7fa3788fc9f27b5fc2244017223cf070e5ab370f71c519adf9120

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp313-cp313-win32.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp313-cp313-win32.whl
  • Upload date:
  • Size: 63.1 kB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 207f16b7e9bf09c591616429ebf2b47127e879aad21167ac15158910dc9bbcda
MD5 4aeaebab7426a98345dfbc66046f1f8f
BLAKE2b-256 6dc9736d07fa33572abdc50d858fd9e527d2c8281f3acbb90dff4999a3662edd

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 eaf42c4bd323b8fd01f1cd900cca2d09232155f9b8f0b9bcd0be66763588ce64
MD5 322ebf5827f9f496e07497d97658e666
BLAKE2b-256 a4351c7efd4665e7983169d20175014f68578e0edfcbc4602b0bafcefa522c4a

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a27996b6d27e275dfb5fe8a34087ba1cacadfd1439e636874ef675faea5149d9
MD5 789bfad30414f9522223518c75d51366
BLAKE2b-256 a5093c06bbc1ebb9ae15f53cefe10774809b67da643883287ba1c44ba053816a

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 26d2d8fd53b71204c755abc53b0379df4e23fd9a40faf211e1cb87e8a32470f0
MD5 db017751df4ff14c9031619ba955e8fe
BLAKE2b-256 5c0e71111e4f53936b0b99731d9b6acfc8fc95660533a1421447a63d6e519112

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 26844d780045bbc3514d5c2f0d89e7fda7df7db0bd24292eb6902046f5730885
MD5 e0a4c7113b5d165c3a3e75e804b91091
BLAKE2b-256 90bee5f8022ec57a7ea6aa3717a3f307a44c3b012fce7ad6ec91aad3e2a56978

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 69.5 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 b1f5686b142759c5b2bdbeaa0692622c2ebb1f10780eb3c174b85f5607fbcf55
MD5 a14876d09d814f42eb1e00408df06a51
BLAKE2b-256 217f3a47e022a97b017ffb73351a1061e4401bcb5aa4fc0162d04f4e5452e4fc

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp312-cp312-win32.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp312-cp312-win32.whl
  • Upload date:
  • Size: 63.0 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 0e4412f8e608db2a4be5bcc75f9581f386ed6a427dbcb5eac795049ba6fc205e
MD5 771b69bbfb574e4adf7a5f259db26706
BLAKE2b-256 e529fec0e739d0c1cab155843ed71d0717f5e1694effe3f28d397168f48bcd92

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 97d086a8f7a302b74c9c2e77bedf954a603b19168af900d4d3a97322e773df63
MD5 920acafd7f2ac6d9bb300fc69d9b770f
BLAKE2b-256 7182ddb1c41c682550116f391aa6cab2052910046a30d63014bbe6d09c4958f4

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ad633c52f4f4e7691daaa2278d6e6ebb2fe4ae7709e610e22c7dd1a1d620cf8b
MD5 d3393e1e7fd528fa8124a41b928e14ef
BLAKE2b-256 ab38a1b9bfe5a7062672268553c2d6ff93676173b0fb4bd583e8c4f74a0e296f

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9f7badd0055221a744d76c11440c0856fd2846ed53b6555cf8f0a8893a3e4b03
MD5 24b75de061de95792e46432f55362aa9
BLAKE2b-256 4f7dbb632488b603bcd2a6753b858e8bc7dd56146dd19bd72003cc09ae6e3fc0

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 be43d1ece4f2cf4d430996689d89a1a15aeb3a8da8262527e5ced5aee27e89c3
MD5 c6bd27d7ff51a364d700a57c14a332d3
BLAKE2b-256 2626104525b728fedfababd3143426b9d0008c70f0d604a3bf5d4773977d83f4

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 68.9 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 113f904b9852c12f10c7a3288f5a3563ecdbbefe3ccc829074a9eb8255edcd29
MD5 e12cd91977ba261c4ccca849a03bb87e
BLAKE2b-256 7c6bf0ad7d8a535d58f35f375ffbf367c68d0ec54452a431d23b0ebee4cd44c6

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 62.4 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 de1ee7ec2eb326b7be5e2c4ce20d472c5ef1a6eb838d126d1d26779ff5486e49
MD5 0aafbc34697f047a9fb7f8ccd52c8165
BLAKE2b-256 f98048178bb50990147adb72ec9e377e94517a0dfaf2f2a6e3fe477d9a33671f

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7e3cbc7075a46c411b531ada557c4aef13d034060a70077717124cabc1717e2d
MD5 e6ea392030faffd34f29fc6137308780
BLAKE2b-256 43ea03fe042f4a390df05e753ddd21c6cab006baae1eee71ce230f6e2a883944

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5102007a8c78dd2fc1c1b6f6147de8cfc020f81013e4b46c33e66aaa7d1bf7b1
MD5 4b5cc074ae0993d355c7b0e57805d27e
BLAKE2b-256 8b82cf71ae99b511a7f20c380ce470de233a0291fa3798afa74e0adc8fad1675

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4d997d3b6551273647825c734158ca8a6f682df269f6b3975f2499c01577ddec
MD5 a4f026903bb25d3fbefe5f073c45b51b
BLAKE2b-256 e1b8bd438ab2bb9481615142784b0c9778079a87ae1bca7a0fe8aabfc088aa9f

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4627779f0a608b51ce2d2fe6d1d395384e65ca36248bf9dbb6d7cf2c8fda1cab
MD5 992fc5da1a1695c7d3ce5aeb2b13028d
BLAKE2b-256 8fa25907ce319a571eb1e271d6a475920edfeacd92da1021bb2a15ed1b7f6ac1

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 68.9 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 d287121eeaa562b9ab3d4c52fa77c793dfedd127049273eb882a05d3d67a8ce8
MD5 3e9d475629143a87035d2e2e0582011a
BLAKE2b-256 f51222c83669abee4ca5915aa89172cf1673b58ca05f44dabeb8b0bac9b7fecc

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 62.4 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 74135cb10c1dcdbd99fe429c61539c232140e62939fa7c69b0a373cc552e4a08
MD5 aa37b6acc76388ac4d253232dac89d5e
BLAKE2b-256 24c1d5b16dd62eb70f281bc90cdc1e3c46af7acda3f0f6afb34553206506ccb2

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e04de873607fb960e71953c164c83e8e5d9291ce0d69e688e54947b254b04902
MD5 f977189f40a5b5daf4ac1f42944a2b89
BLAKE2b-256 b9a798c3555c10cfeb343ec7eea69ecb17476aa3ace72131ea8a4a1f8250318c

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6493b9c7506ca964b80ad638d0dc82869df7058255d71f04fdd1405e88bcb36b
MD5 20d028c5a1f8877d1a505458736fb07b
BLAKE2b-256 24e49d859ea3642059c10a6644a00ccb1f8b8e02c1e4f49ab34250db1273c2c5

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0dae0fb86078c87acf135dbe5afd3c7d15d52ab0db5965c44159e84058c3e2fb
MD5 41660c5a723585fa6fd9ea6b91880564
BLAKE2b-256 7322ba718cc5508bdfbb53e1906018d7f597be37241c769dda8a48f52af96fe3

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 eb0850e3e3782f57457feed297e220bb20c3e8fd7550d7a6b6bb96112bd9b6fe
MD5 7ae2ccc6b205d952f2a3917fa06b31d7
BLAKE2b-256 300105c4a4ec122c4a8a37fa1be5bdbf6fb23724a2ee3b1b771bb46f710158a9

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 69.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b77556349746fb90416a48bd114cd7323f7e2559a4b263dada935f9b406ba59b
MD5 39c120654e0344bf63b1108bc03ed32f
BLAKE2b-256 d99cb1e367b07904a52f22b8707979bcbda1b5a6056c46e67e0a66241d8138aa

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 62.4 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 600ef6f562f609f5612ffaa8a93827249150aa3030c867937c87b24a1608967e
MD5 63529155b98680a2cb6df9bafc63bcf7
BLAKE2b-256 6075aedf6d10f66b22302dc3f0181cbef0cc5789f2c2a658343f10ae72f51190

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 26b7f8324fa01c09fe4843ad8adb0b131299ef263a1fb9e63830c9cd1d5c45e4
MD5 15f9726c2388af4a20379e9f88993290
BLAKE2b-256 2d3a88bc3bb8c15aefaf98bfadd51dae2fe492486daeb04911d8cf0a6d8dd884

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5f0ecbc7067467df95c9b8bd38fb2682c4a13a3402d77dccaddf1e145cea8cc0
MD5 f60b7fe765d25bfe19aecd8c38a50131
BLAKE2b-256 f01a54d9595f0471c15b1de4766ec3436763aeef980740d484d629afa778c506

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 057b8ede91b21d9f0ef58210d1ca1aad704e641ca68ac6b02f109d86b61d7402
MD5 aa472adc9ab959a06aac8c6c72049ab7
BLAKE2b-256 df2f62cce82e4547dc8c4ac3174403e24ed31bdb10bb69ad30e1bb362b960877

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9e8f4ee2c523bbe85124540ffad62a3b62ae481f012e390ef93e0602b6302e5e
MD5 c3a0043560c5681976e8206341ad1b87
BLAKE2b-256 7c1abec4dd9f65a7c0c1a75641119351f0f402c721bbcea3c4eb684868259467

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 68.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 2b5323be83fedc79a6d1e1b96e67bdc368c1d3f1562b8f8184b735acdd749ae9
MD5 0eccf5ce4d3a6b450f3e33e57078b012
BLAKE2b-256 4d44edf8d7a06338ceddd976ce3516c74443fe592d317d20e06b0868b207fb0c

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: pyodbc-5.2.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 62.4 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pyodbc-5.2.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 dc5342d1d09466f9e76e3979551f9205a01ff0ea78b02d2d889171e8c3c4fb9c
MD5 7d3d46b9b87d053f38440d08da75df2b
BLAKE2b-256 197a17895a3221fa8365062ba0cef4474d217c005aa328771ee1c1a04ee26938

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f1f38adc47d36af392475cd4aaae0f35652fdc9e8364bf155810fe1be591336f
MD5 e6c4c73acdfd81cee9d5567023750197
BLAKE2b-256 4a7b8f33721e9f78fc61902acf8f163ad3339cc5fe36fdd7d729a8f885f374f1

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d57843b9792994f9e73b91667da6452a4f2d7caaa2499598783eb972c4b6eb93
MD5 6a392ddf7d4f2c3c85e6d2ac3104fc49
BLAKE2b-256 2c2d7f7d0fc6f9d1c837edea2df0820425466a88ce4b7a4f9bc7f6f51f1bf37f

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4fde753fcea625bfaed36edae34c2fba15bf0b5d0ea27474ee038ef47b684d1d
MD5 455948987ea0fb1ed6bdf7ce21a9e0fc
BLAKE2b-256 c53a72eb42ccf1f91eb80456b71cdac6ee200e3a714b118b47022619ac6cb90e

See more details on using hashes here.

File details

Details for the file pyodbc-5.2.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.2.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 770e1ac2e7bdf31439bf1d57a1d34ae37d6151216367e8e3f6cdc275006c8bb0
MD5 83209c945544bf9f33abce4abd8ab6d6
BLAKE2b-256 fe0ae6b7afb1b409208a32c48c83f2fd04735c112445f86445e12f23c64c92c4

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