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
Report project as malware

Project description

pyodbc

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:

pip install pyodbc

On Macs, you should probably install unixODBC first if you don't already have an ODBC driver manager installed, e.g. using Homebrew:

brew install unixodbc
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 when building from source you will need a suitable C++ compiler. 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

5.2.0

5.1.0

5.0.1

5.0.0

5.0.0b3 pre-release

5.0.0b2 pre-release

This version

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-5.0.0b1.tar.gz (95.0 kB view details)

Uploaded Source

Built Distributions

pyodbc-5.0.0b1-cp311-cp311-win_amd64.whl (68.9 kB view details)

Uploaded CPython 3.11Windows x86-64

pyodbc-5.0.0b1-cp311-cp311-win32.whl (62.1 kB view details)

Uploaded CPython 3.11Windows x86

pyodbc-5.0.0b1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (344.5 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pyodbc-5.0.0b1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (342.1 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

pyodbc-5.0.0b1-cp311-cp311-macosx_10_9_x86_64.whl (72.3 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

pyodbc-5.0.0b1-cp310-cp310-win_amd64.whl (68.9 kB view details)

Uploaded CPython 3.10Windows x86-64

pyodbc-5.0.0b1-cp310-cp310-win32.whl (62.1 kB view details)

Uploaded CPython 3.10Windows x86

pyodbc-5.0.0b1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (334.3 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pyodbc-5.0.0b1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (330.7 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

pyodbc-5.0.0b1-cp310-cp310-macosx_10_9_x86_64.whl (72.2 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

pyodbc-5.0.0b1-cp39-cp39-win_amd64.whl (68.9 kB view details)

Uploaded CPython 3.9Windows x86-64

pyodbc-5.0.0b1-cp39-cp39-win32.whl (62.1 kB view details)

Uploaded CPython 3.9Windows x86

pyodbc-5.0.0b1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (331.4 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pyodbc-5.0.0b1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (328.1 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

pyodbc-5.0.0b1-cp39-cp39-macosx_10_9_x86_64.whl (72.2 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

pyodbc-5.0.0b1-cp38-cp38-win_amd64.whl (68.8 kB view details)

Uploaded CPython 3.8Windows x86-64

pyodbc-5.0.0b1-cp38-cp38-win32.whl (62.2 kB view details)

Uploaded CPython 3.8Windows x86

pyodbc-5.0.0b1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (336.4 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

pyodbc-5.0.0b1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (332.6 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

pyodbc-5.0.0b1-cp38-cp38-macosx_10_9_x86_64.whl (72.3 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

pyodbc-5.0.0b1-cp37-cp37m-win_amd64.whl (70.2 kB view details)

Uploaded CPython 3.7mWindows x86-64

pyodbc-5.0.0b1-cp37-cp37m-win32.whl (63.4 kB view details)

Uploaded CPython 3.7mWindows x86

pyodbc-5.0.0b1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (326.6 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

pyodbc-5.0.0b1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (326.2 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

pyodbc-5.0.0b1-cp37-cp37m-macosx_10_9_x86_64.whl (72.0 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file pyodbc-5.0.0b1.tar.gz.

File metadata

  • Download URL: pyodbc-5.0.0b1.tar.gz
  • Upload date:
  • Size: 95.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1.tar.gz
Algorithm Hash digest
SHA256 14d19d9964cb2a0ac3581807d6616ca811b27203f7351627ef78584584cc4968
MD5 e940e7e333b008980d143fbd32203f2c
BLAKE2b-256 2e78b7de0d5b893f2187559daf81f1e2e2e9e84f3ecaf78ec5d7c8ebb1cfcc9a

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.0.0b1-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/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 071ca3ec9554621f7d18c897f4df6599b9db57c82645b2a25012f99228e58971
MD5 ef76e926c3077ef9dbc280047679ec7e
BLAKE2b-256 d7154d114b5834925feaf3c8550eddd22558becf385ff693b60a58a5f9aec219

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp311-cp311-win32.whl.

File metadata

  • Download URL: pyodbc-5.0.0b1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 62.1 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 9d2d3e63a1e75e585c0cb4b5554a005c41d420eba96f9743ff38f4b6deacc0de
MD5 7d73e9c6fdabe31f0c5a8454eeccaeac
BLAKE2b-256 fd3fceea729667dff57660580f55ffa611671057909c855136d672ff7199ea6a

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 34bca4af0f604c7ea93b129ba6170e2c82d350cedb1f86bd39ae5a29e14458fa
MD5 08f63afa65b7fcfe5ccbffcdfa7ce7a9
BLAKE2b-256 f0795a7d49f653080131ce3f45b86a6a0dd450a7113a2154da5e3b66edaf0598

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 596cbdc7b36b52c34bb0919fe629baf976d8b1ea268cb8184e47249e99025638
MD5 99c711a2ffbfe70aa60b3ddf11a74248
BLAKE2b-256 731e114bd1065b5ba83b9ac7f4e5f8f811bc89b9c4c837c7aea49ff1ec9ec2db

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ff5dcf9f6d682abef5f0d1e5b9957235510c9d40fec9ec2ef062dc45a03af142
MD5 7e084cbc2c691e05fca4ba5058040af9
BLAKE2b-256 dea2d3b095ff49ec2baace8ffd30bfa3e6d1f574ac14aba9005e30ae99f17a74

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.0.0b1-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/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b9d7ca78b530e14d608cebefffb243256a64a299bb9c839af23f563e4dc5d4f7
MD5 d1984760a43c8e8f6944aface317a7cf
BLAKE2b-256 19d02a42827ddab19709b576879286aafdf294389ef23b8651de7a4246e8fbe8

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp310-cp310-win32.whl.

File metadata

  • Download URL: pyodbc-5.0.0b1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 62.1 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 2107b592c8712af8187fb11c2f90b7e199b19de854484470c9e7f1075e15cb3c
MD5 3aa9b545c7db4ec04ee75d4e145add53
BLAKE2b-256 45593f86877a0ce429ef8dcd967ff81f6732546509e28b5dcb5dd2a2c453502a

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f579ea9458fb253abfbacb98886ef193b4afc7933871424a84f4c62cd640e7c5
MD5 529dd7e0fc802bdb7654bdb74f414592
BLAKE2b-256 b5f4471b616b6408e2fb5054bb799dc4f8369f22b264b18848154b747b47d4f0

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5f836e3b5422ac8bdff1dda57656c26e8e1500f03363e9806ff9dbec82134f88
MD5 324bc05c45eff08c8c01798483f38bc1
BLAKE2b-256 f0b57d51ad3ae5c136f29c72dde7e0af711ceae9ddff04133eb9030df1a949a9

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 dddd7e9a30758ea5e3621da897e463777142377850c8a9851dfa1e81ad586ed6
MD5 18562a58d5b28e16126b2fa3caa93435
BLAKE2b-256 24e4f3b5364d8d3c00d05d3537455018d959a940ead3510a77ab7b831b58f5d6

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.0.0b1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 68.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a4dd7293c89bb729ece9a1e30d877f3d385315b4a2a8e8a2727fd374a16285db
MD5 612a283332367552891c24f1f081224d
BLAKE2b-256 210df6f9fcbf74b84a6ec789cd283b4aebf1bfcc7c886bde656576204220ebe0

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp39-cp39-win32.whl.

File metadata

  • Download URL: pyodbc-5.0.0b1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 62.1 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 f699dfd72e5a8db00c04f8e6ee8ec4fbf7ba1eca793b63410b6a7f7d154cc3fe
MD5 53396522f0cf5508e0bdb3fef61a5fe3
BLAKE2b-256 dca76aa378da0dac9b889a8fcd02e0cb586d061db7f2694630156032a84da447

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bdb44686643648083388b2d846d7398f4bd25ae6b164f903c1686815a0a24cf1
MD5 cf02326f3c726b987a9a8a1ea20f5941
BLAKE2b-256 540b78e499b45d67d12a0b49d9696e9b99b0287c1dd72b6c6830779ee484dcb0

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 04a7c80d25eaeaecd95a2d2383346b7532cb77d03628b70ee3ff141bbe9a4382
MD5 9298806f46bd5bc3711bec509250fd37
BLAKE2b-256 d963603e378d9781a9baca606c04f9a85d2bb42be168ae24752736d200bea580

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 578b57c53e97a2caaa8384f43e0d614f1c21626ee1ab1477bc785094d293a24c
MD5 fdedef273b78990dfd1a748524c1ccc4
BLAKE2b-256 1bee4f5f31bc1c6dda060460fa4c8eae5264baae3cc26a114196f4ddd0c710b5

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.0.0b1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 68.8 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 c3085c569824c340eaa3f41f390026a1dd9c22434d7cb2be84a9b2b27e0bf95c
MD5 b099cd9e8634c6a55752e188b23b3310
BLAKE2b-256 bab884b65abe5b3547e057ae724b28d0d7d74dc67d8b9a613c51da443e2bafa0

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp38-cp38-win32.whl.

File metadata

  • Download URL: pyodbc-5.0.0b1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 62.2 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 c7474281386b3ed7bf202c409b6b86bbf0b711a02f1bbf3d04179ef9994dcca7
MD5 87e79760c7ac557cb019279ec4b02bfc
BLAKE2b-256 19326277b89c84ee7254a3b95d0a6c577565c119ae2aabc310ed19ef67018467

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9c92e04381734eb083a9853ba95afe8c761800679b925d7d08fd6a5773c15d7e
MD5 b32c8fb6c5c15391068683039cc7e8c0
BLAKE2b-256 a99e46dbd30a546d2b5649a4c1a876c15adc0ca66fe17bd4d0f1f1b9fb359629

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e0c83c66343bf2a500f60a936d59174197645eacbfc023442f9a5c06ac3388d5
MD5 fb254bf7c8bc28e82bf8adf2a882972c
BLAKE2b-256 704d70b1221d6cd63e0232c16baea18b493b0485f7b0f4cd0a0a4cd223d3360b

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 01dde106beb96ea1ba8caf02beae0b3085f08b8bab83f805c6baf0cbd2752a42
MD5 b3860ef93c96180d885be9bcc1a3d507
BLAKE2b-256 673de2d464a6702c33ccec0f7988f41442e602c8c62ab2752a40ecf6813d21ea

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pyodbc-5.0.0b1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 70.2 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 21d0d5bdb8cf2a9f580515ce852d3c54252f3aab8b3de43f2434502f428f8b1d
MD5 07b07ee25c4ac8462ce3fdd17f389583
BLAKE2b-256 64e981a9e14da65951bb96c4a496ee3a81517187feeef0992447e7d28ce0f56d

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: pyodbc-5.0.0b1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 63.4 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.12

File hashes

Hashes for pyodbc-5.0.0b1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 a096a264796b30015c6c84a785564d4a006b6d5d735aac210a361d288faf1fc8
MD5 a739d3a6be8578a7a2c34731d3c029ae
BLAKE2b-256 02eb206acd7aa0c43c4b71d8d7a5391a8f61c2615f4e7384f165fd64c96feb88

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f0537bcb1e3c57d0e509af4e823ae75af1fb8a1ed215cef79d8b4a0f6cd69676
MD5 cfdec8e3f1cf5cfd5c75280f08c22d97
BLAKE2b-256 02376b4820ed7e2fb43aacd138e35e6b1fe948b4dd8f6585b31ca3c0d4367b40

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7252a8ea54e183139b2d4653674d944e92a001f3aec1ce0b1be8a2a6fd468cbf
MD5 758302edd993eed1a70bcbe6f43811a5
BLAKE2b-256 5cfb40e295626e9fb8240af6a87c70ce688423bcd5f862eeb10496d95690f322

See more details on using hashes here.

File details

Details for the file pyodbc-5.0.0b1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyodbc-5.0.0b1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c5fea3a8edcc9f6c782bb8ed7bc170a5c7727d0805ecd2bb3e2d1f056649dbb6
MD5 026c9432ab2298736259521597fb6337
BLAKE2b-256 d40cb012066a8dbc2df6d08618ba8c365f721e9c1629e5f226d198b57f3a1aa4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page