Skip to main content

Python driver for MongoDB <http://www.mongodb.org>

Project description

Info:

See the mongo site for more information. See GitHub for the latest source.

Documentation:

Available at pymongo.readthedocs.io

Author:

The MongoDB Python Team

About

The PyMongo distribution contains tools for interacting with MongoDB database from Python. The bson package is an implementation of the BSON format for Python. The pymongo package is a native Python driver for MongoDB. The gridfs package is a gridfs implementation on top of pymongo.

PyMongo supports MongoDB 3.6, 4.0, 4.2, 4.4, and 5.0.

Support / Feedback

For issues with, questions about, or feedback for PyMongo, please look into our support channels. Please do not email any of the PyMongo developers directly with issues or questions - you’re more likely to get an answer on the MongoDB Community Forums.

Bugs / Feature Requests

Think you’ve found a bug? Want to see a new feature in PyMongo? Please open a case in our issue management tool, JIRA:

Bug reports in JIRA for all driver projects (i.e. PYTHON, CSHARP, JAVA) and the Core Server (i.e. SERVER) project are public.

How To Ask For Help

Please include all of the following information when opening an issue:

  • Detailed steps to reproduce the problem, including full traceback, if possible.

  • The exact python version used, with patch level:

    $ python -c "import sys; print(sys.version)"
  • The exact version of PyMongo used, with patch level:

    $ python -c "import pymongo; print(pymongo.version); print(pymongo.has_c())"
  • The operating system and version (e.g. Windows 7, OSX 10.8, …)

  • Web framework or asynchronous network library used, if any, with version (e.g. Django 1.7, mod_wsgi 4.3.0, gevent 1.0.1, Tornado 4.0.2, …)

Security Vulnerabilities

If you’ve identified a security vulnerability in a driver or any other MongoDB project, please report it according to the instructions here.

Installation

PyMongo can be installed with pip:

$ python -m pip install pymongo

Or easy_install from setuptools:

$ python -m easy_install pymongo

You can also download the project source and do:

$ python setup.py install

Do not install the “bson” package from pypi. PyMongo comes with its own bson package; doing “easy_install bson” installs a third-party package that is incompatible with PyMongo.

Dependencies

PyMongo supports CPython 3.7+ and PyPy3.7+.

Optional dependencies:

GSSAPI authentication requires pykerberos on Unix or WinKerberos on Windows. The correct dependency can be installed automatically along with PyMongo:

$ python -m pip install "pymongo[gssapi]"

MONGODB-AWS authentication requires pymongo-auth-aws:

$ python -m pip install "pymongo[aws]"

Support for mongodb+srv:// URIs requires dnspython:

$ python -m pip install "pymongo[srv]"

OCSP (Online Certificate Status Protocol) requires PyOpenSSL, requests, service_identity and may require certifi:

$ python -m pip install "pymongo[ocsp]"

Wire protocol compression with snappy requires python-snappy:

$ python -m pip install "pymongo[snappy]"

Wire protocol compression with zstandard requires zstandard:

$ python -m pip install "pymongo[zstd]"

Client-Side Field Level Encryption requires pymongocrypt:

$ python -m pip install "pymongo[encryption]"

You can install all dependencies automatically with the following command:

$ python -m pip install "pymongo[gssapi,aws,ocsp,snappy,srv,tls,zstd,encryption]"

Additional dependencies are:

  • (to generate documentation) sphinx

Examples

Here’s a basic example (for more see the examples section of the docs):

>>> import pymongo
>>> client = pymongo.MongoClient("localhost", 27017)
>>> db = client.test
>>> db.name
'test'
>>> db.my_collection
Collection(Database(MongoClient('localhost', 27017), 'test'), 'my_collection')
>>> db.my_collection.insert_one({"x": 10}).inserted_id
ObjectId('4aba15ebe23f6b53b0000000')
>>> db.my_collection.insert_one({"x": 8}).inserted_id
ObjectId('4aba160ee23f6b543e000000')
>>> db.my_collection.insert_one({"x": 11}).inserted_id
ObjectId('4aba160ee23f6b543e000002')
>>> db.my_collection.find_one()
{'x': 10, '_id': ObjectId('4aba15ebe23f6b53b0000000')}
>>> for item in db.my_collection.find():
...     print(item["x"])
...
10
8
11
>>> db.my_collection.create_index("x")
'x_1'
>>> for item in db.my_collection.find().sort("x", pymongo.ASCENDING):
...     print(item["x"])
...
8
10
11
>>> [item["x"] for item in db.my_collection.find().limit(2).skip(1)]
[8, 11]

Documentation

Documentation is available at pymongo.readthedocs.io.

To build the documentation, you will need to install sphinx. Documentation can be generated by running python setup.py doc. Generated documentation can be found in the doc/build/html/ directory.

Testing

The easiest way to run the tests is to run python setup.py test in the root of the distribution.

To verify that PyMongo works with Gevent’s monkey-patching:

$ python green_framework_test.py gevent

Or with Eventlet’s:

$ python green_framework_test.py eventlet

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

pymongo-4.2.0.tar.gz (792.9 kB view details)

Uploaded Source

Built Distributions

pymongo-4.2.0-cp310-cp310-win_amd64.whl (374.2 kB view details)

Uploaded CPython 3.10 Windows x86-64

pymongo-4.2.0-cp310-cp310-win32.whl (371.3 kB view details)

Uploaded CPython 3.10 Windows x86

pymongo-4.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (479.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pymongo-4.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (483.0 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pymongo-4.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (486.8 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pymongo-4.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (481.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pymongo-4.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (473.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.2.0-cp310-cp310-manylinux2014_x86_64.whl (497.3 kB view details)

Uploaded CPython 3.10

pymongo-4.2.0-cp310-cp310-manylinux2014_s390x.whl (498.6 kB view details)

Uploaded CPython 3.10

pymongo-4.2.0-cp310-cp310-manylinux2014_ppc64le.whl (503.3 kB view details)

Uploaded CPython 3.10

pymongo-4.2.0-cp310-cp310-manylinux2014_i686.whl (492.1 kB view details)

Uploaded CPython 3.10

pymongo-4.2.0-cp310-cp310-manylinux2014_aarch64.whl (497.5 kB view details)

Uploaded CPython 3.10

pymongo-4.2.0-cp310-cp310-manylinux1_i686.whl (492.1 kB view details)

Uploaded CPython 3.10

pymongo-4.2.0-cp310-cp310-macosx_10_15_universal2.whl (404.2 kB view details)

Uploaded CPython 3.10 macOS 10.15+ universal2 (ARM64, x86-64)

pymongo-4.2.0-cp310-cp310-macosx_10_9_universal2.whl (373.4 kB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

pymongo-4.2.0-cp39-cp39-win_amd64.whl (374.2 kB view details)

Uploaded CPython 3.9 Windows x86-64

pymongo-4.2.0-cp39-cp39-win32.whl (371.3 kB view details)

Uploaded CPython 3.9 Windows x86

pymongo-4.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (479.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pymongo-4.2.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (482.4 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pymongo-4.2.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (486.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pymongo-4.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (480.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pymongo-4.2.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (473.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ x86-64

pymongo-4.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (476.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pymongo-4.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (472.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.2.0-cp39-cp39-manylinux2014_x86_64.whl (496.7 kB view details)

Uploaded CPython 3.9

pymongo-4.2.0-cp39-cp39-manylinux2014_s390x.whl (498.1 kB view details)

Uploaded CPython 3.9

pymongo-4.2.0-cp39-cp39-manylinux2014_ppc64le.whl (502.7 kB view details)

Uploaded CPython 3.9

pymongo-4.2.0-cp39-cp39-manylinux2014_i686.whl (491.4 kB view details)

Uploaded CPython 3.9

pymongo-4.2.0-cp39-cp39-manylinux2014_aarch64.whl (496.8 kB view details)

Uploaded CPython 3.9

pymongo-4.2.0-cp39-cp39-manylinux1_x86_64.whl (472.6 kB view details)

Uploaded CPython 3.9

pymongo-4.2.0-cp39-cp39-manylinux1_i686.whl (491.4 kB view details)

Uploaded CPython 3.9

pymongo-4.2.0-cp39-cp39-macosx_10_9_x86_64.whl (373.4 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pymongo-4.2.0-cp38-cp38-win_amd64.whl (374.1 kB view details)

Uploaded CPython 3.8 Windows x86-64

pymongo-4.2.0-cp38-cp38-win32.whl (371.2 kB view details)

Uploaded CPython 3.8 Windows x86

pymongo-4.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (488.3 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pymongo-4.2.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (491.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pymongo-4.2.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (495.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pymongo-4.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (489.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pymongo-4.2.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (489.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ x86-64

pymongo-4.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (481.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pymongo-4.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (480.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.2.0-cp38-cp38-manylinux2014_x86_64.whl (506.7 kB view details)

Uploaded CPython 3.8

pymongo-4.2.0-cp38-cp38-manylinux2014_s390x.whl (508.3 kB view details)

Uploaded CPython 3.8

pymongo-4.2.0-cp38-cp38-manylinux2014_ppc64le.whl (512.7 kB view details)

Uploaded CPython 3.8

pymongo-4.2.0-cp38-cp38-manylinux2014_i686.whl (498.9 kB view details)

Uploaded CPython 3.8

pymongo-4.2.0-cp38-cp38-manylinux2014_aarch64.whl (507.0 kB view details)

Uploaded CPython 3.8

pymongo-4.2.0-cp38-cp38-manylinux1_x86_64.whl (489.6 kB view details)

Uploaded CPython 3.8

pymongo-4.2.0-cp38-cp38-manylinux1_i686.whl (498.9 kB view details)

Uploaded CPython 3.8

pymongo-4.2.0-cp38-cp38-macosx_10_9_x86_64.whl (373.6 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pymongo-4.2.0-cp37-cp37m-win_amd64.whl (374.0 kB view details)

Uploaded CPython 3.7m Windows x86-64

pymongo-4.2.0-cp37-cp37m-win32.whl (370.8 kB view details)

Uploaded CPython 3.7m Windows x86

pymongo-4.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (471.9 kB view details)

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

pymongo-4.2.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (475.1 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

pymongo-4.2.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (479.0 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

pymongo-4.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (472.0 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pymongo-4.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (474.1 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ x86-64

pymongo-4.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (466.5 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

pymongo-4.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (465.7 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.2.0-cp37-cp37m-manylinux2014_x86_64.whl (489.4 kB view details)

Uploaded CPython 3.7m

pymongo-4.2.0-cp37-cp37m-manylinux2014_s390x.whl (490.6 kB view details)

Uploaded CPython 3.7m

pymongo-4.2.0-cp37-cp37m-manylinux2014_ppc64le.whl (496.2 kB view details)

Uploaded CPython 3.7m

pymongo-4.2.0-cp37-cp37m-manylinux2014_i686.whl (483.0 kB view details)

Uploaded CPython 3.7m

pymongo-4.2.0-cp37-cp37m-manylinux2014_aarch64.whl (488.9 kB view details)

Uploaded CPython 3.7m

pymongo-4.2.0-cp37-cp37m-manylinux1_x86_64.whl (473.8 kB view details)

Uploaded CPython 3.7m

pymongo-4.2.0-cp37-cp37m-manylinux1_i686.whl (483.0 kB view details)

Uploaded CPython 3.7m

pymongo-4.2.0-cp37-cp37m-macosx_10_6_intel.whl (402.1 kB view details)

Uploaded CPython 3.7m macOS 10.6+ intel

File details

Details for the file pymongo-4.2.0.tar.gz.

File metadata

  • Download URL: pymongo-4.2.0.tar.gz
  • Upload date:
  • Size: 792.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for pymongo-4.2.0.tar.gz
Algorithm Hash digest
SHA256 72f338f6aabd37d343bd9d1fdd3de921104d395766bcc5cdc4039e4c2dd97766
MD5 4d11cbd53866c612e715cfbd7690e85c
BLAKE2b-256 165cdef5ee5112e834ce41a86feb37d076b586e51f5ff7acce072073fc616147

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.2.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 374.2 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 8c223aea52c359cc8fdee5bd3475532590755c269ec4d4fe581acd47a44e9952
MD5 221b07af611e7ff14da53a56a9b8cb7a
BLAKE2b-256 6bbdc3b27e2ac7f595155beb48a31c92e9dd1c817dfecc2a55fb3ce76ec6a766

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: pymongo-4.2.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 371.3 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 ecdcb0d4e9b08b739035f57a09330efc6f464bd7f942b63897395d996ca6ebd5
MD5 5fa804fe410fbd398d2857761ea3bb35
BLAKE2b-256 3682249fb3d449c4491202dab1bb1be466a3187446721f29faae7889e2b754fc

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d94f535df9f539615bc3dbbef185ded3b609373bb44ca1afffcabac70202678a
MD5 a2e16de5528d78634057cccaaa144aff
BLAKE2b-256 b911d2bd15814409ed357b8ec277361e7b703cc4f99351b2ce992975b17fd037

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 4cadaaa5c19ad23fc84559e90284f2eb003c36958ebb2c06f286b678f441285f
MD5 14dfd25bdbc5365f5e0937ad7922bbac
BLAKE2b-256 8d0d3c8c542b59724c94064ab3092f779ea55c76162a9437069ceb72ed84c5ee

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 f47d5f10922cf7f7dfcd1406bd0926cef6d866a75953c3745502dffd7ac197dd
MD5 f80a0666440c0ef338f78330df11c31e
BLAKE2b-256 f6eee84033e85f282d5992055b3e8ac8a575e87b82ada9df2a288d69d4e04d2f

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 07564178ecc203a84f63e72972691af6c0c82d2dc0c9da66ba711695276089ba
MD5 68c60fc4c622d44635f5b92b8a178cd9
BLAKE2b-256 7b1a85bcfd662d7602133ae13b199df37de6eb5228a8ffb26b3cfe29350fce0d

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 147a23cd96feb67606ac957744d8d25b013426cdc3c7164a4f99bd8253f649e3
MD5 5638654b7b3d45c5950e4b5d765142b8
BLAKE2b-256 596ce77a01538a5177b8cdb940acc81bdde5b86808b06f6efa388ec0dbc49e47

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c69ef5906dcd6ec565d4d887ba97ceb2a84f3b614307ee3b4780cb1ea40b1867
MD5 fce1edd7cf54e551f5b7f7133a11c788
BLAKE2b-256 bb69ecefcbbfebd8a4300ce06ad5460fa0c3ac8f499531bc95f3699de4ad3cb6

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 902e2c9030cb042c49750bc70d72d830d42c64ea0df5ff8630c171e065c93dd7
MD5 eb5323740254e72ad2f73a190353c572
BLAKE2b-256 3acfdd6cde4edf6ccbd7a24050c458ebdab6ee0b0a54baac9e1585db539399b1

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 314b556afd72eb21a6a10bd1f45ef252509f014f80207db59c97372103c88237
MD5 be50504c3af8ce17b7d7afbe9bdc0a99
BLAKE2b-256 4283e43ad2b75ec5798a6292a752576cbbb6cea2a9c93ffe7b620ef81a6fbf20

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8a86e8c2ac2ec87141e1c6cb00bdb18a4560f06e5f96769abcd1dda24dc0e764
MD5 6b80b8ccad40e669ec8768e144a89126
BLAKE2b-256 67c9298ceae532a8ecd47b6eec88209546ba8dff3778efd3570f21ae554059c1

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 70216ec4c248213ae95ea499b6314c385ce01a5946c448fb22f6c8395806e740
MD5 cb0d48e7ebd223a619369968113d908a
BLAKE2b-256 35adc85dc31c207acff8e369b379c33b9a4d01bebf54538665582dde8d69c90a

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-manylinux1_i686.whl
Algorithm Hash digest
SHA256 c549bb519456ee230e92f415c5b4d962094caac0fdbcc4ed22b576f66169764e
MD5 08e39c02a71319dc8608f8f843f5c229
BLAKE2b-256 360416ab8b3116a8e71690eadebe937d9bd37c47fd5c576914804414eb90912e

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 b9e4981a65f8500a3a46bb3a1e81b9feb45cf0b2115ad9c4f8d517326d026940
MD5 a8ee2c8f2024b3fd604b0faaf2f50977
BLAKE2b-256 4d513d1c827a3099dcd942dabf8c289a5ceabc2f166cf5142ec6ac83153f9d07

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 1c81414b706627f15e921e29ae2403aab52e33e36ed92ed989c602888d7c3b90
MD5 d6f68fa9d113440e4af16621a16b62d8
BLAKE2b-256 59d7e2c5fac2ffe8131fa1bde3360b14e6b4c11a0ddecd88a42d6bf78bd18efb

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.2.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 374.2 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 44b36ccb90aac5ea50be23c1a6e8f24fbfc78afabdef114af16c6e0a80981364
MD5 54ce7b83e5d088d3b4532b8816e944f0
BLAKE2b-256 f22cd8f477d24c064b5558c58a220cdfc7a2c5f34ab8138fab92ec20c7ab2cb0

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: pymongo-4.2.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 371.3 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 a25c0eb2d610b20e276e684be61c337396813b636b69373c17314283cb1a3b14
MD5 5d3afca68e37afaaae75558992bd0638
BLAKE2b-256 48bfcb5dec7273ef0c8279608e1b887ec272077d8c478c8bbf09ba29ad1dc81e

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 773467d25c293f8e981b092361dab5fd800e1ba318403b7959d35004c67faedc
MD5 5a884108ba2ed9de3ac4250eb3792519
BLAKE2b-256 76ac010631a31e3099a51b65653196b061c9b6fa537a8cbf4fe3c9997606dc67

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 124d0e880b66f9b0778613198e89984984fdd37a3030a9007e5f459a42dfa2d3
MD5 549c720c027fe83760930ec5f90fdb44
BLAKE2b-256 142a5e6469580f987eb18d407751b7913d83651c0b600b0f460e9682fa5e8abc

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 76892bbce743eb9f90360b3626ea92f13d338010a1004b4488e79e555b339921
MD5 65966332611e5e037c709216671d31bb
BLAKE2b-256 3bf4a158a718fb0dd4256a65173a4c261afd12f2194771f2e2d5c9cfbe2b2e37

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d98d2a8283c9928a9e5adf2f3c0181e095579e9732e1613aaa55d386e2bcb6c5
MD5 58cce15c999229e7fedf17f1186b0347
BLAKE2b-256 0fd394bcb1b2c483d40d7ff2a5045fde701760b4791707b94752da376aff3e58

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 01721da74558f2f64a9f162ee063df403ed656b7d84229268d8e4ae99cfba59c
MD5 33bace31993f1250a81e3552df9e6230
BLAKE2b-256 362446c2625c828f392a78ca20d8facfc91c3c75e2f63e8ab9e34096337a682b

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 153b8f8705970756226dfeeb7bb9637e0ad54a4d79b480b4c8244e34e16e1662
MD5 73a8b58ab121f47469406b70497921f8
BLAKE2b-256 3ac1e2e255444ea04eb2a5cbe6847edb7d1142838a2e65e48210eba21494fccd

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6673ab3fbf3135cc1a8c0f70d480db5b2378c3a70af8d602f73f76b8338bdf97
MD5 4f82352dd604bb32fd630abb83ead58a
BLAKE2b-256 3faf766243b4b6c5deb9ab0f17fe53e0c83d2d543887619c921d7aff674ec4cd

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b537dd282de1b53d9ae7cf9f3df36420c8618390f2da92100391f3ba8f3c141a
MD5 a211331623f720b771f3a92833f7bbc4
BLAKE2b-256 f74ed61fc588b9867a03cf052ccbbde1d65496a551b7cd5157fc5b8899aff4cd

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e7dcb73f683c155885a3488646fcead3a895765fed16e93c9b80000bc69e96cb
MD5 8040fdbedd6095ece76f799d464e3425
BLAKE2b-256 490439af374dea5356233987a284b7bf6dadc009cc88ff4d00909ca20df3c826

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 b0be613d926c5dbb0d3fc6b58e4f2be4979f80ae76fda6e47309f011b388fe0c
MD5 9219187e99b8221a5151c7841f6b0aa3
BLAKE2b-256 c6a3d4b6ac97022e8e5c4731564bee3371896e98abea71afc0a18fca02267d95

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a7eb5b06744b911b6668b427c8abc71b6d624e72d3dfffed00988fa1b4340f97
MD5 a4a7cb57bb26efaf5a7aaf66fc7490a4
BLAKE2b-256 d37488068361c14599366cf83da8d09e0d568d1aa0c4ca1e3e84475b367e262f

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a3efdf154844244e0dabe902cf1827fdced55fa5b144adec2a86e5ce50a99b97
MD5 dbab8416a484e0431f399b9d0d5e91c8
BLAKE2b-256 c150fdfcd2a206b85df17bce229f5ad1bccfd2e21d6bb3cad333737d4e73da68

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3be53e9888e759c49ae35d747ff77a04ff82b894dd64601e0f3a5a159b406245
MD5 4c9f66f9ce4eeb53331375c9d7415573
BLAKE2b-256 28ec1bdf4a307cfe8545333f64d7afc87524b38628aeb57f01d8d8342739477c

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-manylinux1_i686.whl
Algorithm Hash digest
SHA256 d8bb745321716e7a11220a67c88212ecedde4021e1de4802e563baef9df921d2
MD5 1a8590c90dd898c0285dd72154562741
BLAKE2b-256 cb3e7c0a79b5e0e4fd5680f3c16ffb2cc87bef74ebb94f9ba66a8b54db3d719c

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a6bf01b9237f794fa3bdad5089474067d28be7e199b356a18d3f247a45775f26
MD5 62bc91c90e95faf11213a3b42d467bf9
BLAKE2b-256 7cd7909c6124b3ae60571c1f57b7a961bfd4bd5c582c1940ffcddd5a723da0a0

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.2.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 374.1 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 10f09c4f09757c2e2a707ad7304f5d69cb8fdf7cbfb644dbacfe5bbe8afe311b
MD5 d79c71b4d7f72b1ef829f3b7227a2b55
BLAKE2b-256 feff38ad4c8dc6f619c8118d4c13f565fd63e02dae4b0929470a3bf52301ed53

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: pymongo-4.2.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 371.2 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 766acb5b1a19eae0f7467bcd3398748f110ea5309cdfc59faa5185dcc7fd4dca
MD5 8371a21ac26fd46a15a4fa5808a07271
BLAKE2b-256 c4c5ff00b494fa8801be0b901d68e2fd0fef124588635ac9e71e7b72c6b39d71

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 83cc3c35aeeceb67143914db67f685206e1aa37ea837d872f4bc28d7f80917c9
MD5 3f1043e4ce3f83139f3ecbe6a3748dfd
BLAKE2b-256 4ebb7583c54689a5c7eac7ee02583ccab639a7171e81b01121bd85679a301383

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 f1c23527f8e13f526fededbb96f2e7888f179fe27c51d41c2724f7059b75b2fa
MD5 5a49b61fec7f0bab5adde1786601d541
BLAKE2b-256 caf79f3e31dd29ae3aabf6c902937c72a028d7dca782a159b4d66fada0ec3b7f

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c8b4a782aac43948308087b962c9ecb030ba98886ce6dee3ad7aafe8c5e1ce80
MD5 cdd9581af8d27f7deb276db6ed2b2a02
BLAKE2b-256 6cf3e0e6b7909ed9a52dd11bfd146f79904a38b2bcc1455d6e75694de05ffd87

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cc7ebc37b03956a070260665079665eae69e5e96007694214f3a2107af96816a
MD5 862e79ebbd82039ab0e87dc5d0be5eae
BLAKE2b-256 6a21ef9461def0063d54ec4e0aecc454e8c95befe3f7c5f5fb2e50e8ddbf986d

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 21238b19243a42f9a34a6d39e7580ceebc6da6d2f3cf729c1cff9023cb61a5f1
MD5 381ce6716c1fc4659bb40bbc4f693ff5
BLAKE2b-256 7473430755a09fe29c690bc66c316709583f4a68dd885e76c07fc4b91e3cb44c

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 0f53253f4777cbccc426e669a2af875f26c95bd090d88593287b9a0a8ac7fa25
MD5 a7e9182a2d1737b2a59183ee8d99328f
BLAKE2b-256 0b928b5a44c9b3e7f045f5824d630b0e96fc31e417067f52f856e1aa91917863

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e09cdf5aad507c8faa30d97884cc42932ed3a9c2b7f22cc3ccc607bae03981b3
MD5 1a1445e37b927498c4426b1555f6a4e2
BLAKE2b-256 f6a625bde851510325fe5cd99f917d79bf56d6d5125d79c5c88dd9d3c7c086fb

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ccfdc7722df445c49dc6b5d514c3544cad99b53189165f7546793933050ac7fb
MD5 185838270ded9ed1a1faab556110c8ce
BLAKE2b-256 85834868c2884d5a75812169300ca5a938d29a3324e112f8e0a988ad7afb66f2

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 31c50da4a080166bc29403aa91f4c76e0889b4f24928d1b60508a37c1bf87f9a
MD5 ca2aa19ad178850656a892c0f0fdcfd7
BLAKE2b-256 df7853879067fd69e3270e4f34a1dc3a3aa0d88afada5727c76f42d67c91c72d

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ff66014687598823b6b23751884b4aa67eb934445406d95894dfc60cb7bfcc18
MD5 c17b35f3a61e21fff9f19cb490cf5795
BLAKE2b-256 e03b24742b48f6a08466f892043ae44a767b2c8bd0908a20e4e51fa148ad9539

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2bfe6b59f431f40fa545547616f4acf0c0c4b64518b1f951083e3bad06eb368b
MD5 0774052aedc3eb9f179d446cfab61af7
BLAKE2b-256 d32a40f6c718bf6685500320a9deb2c71e425733f8c47e05f9af552a34434d1b

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8cbb868e88c4eee1c53364bb343d226a3c0e959e791e6828030cb78f46cfcbe3
MD5 1acf1da246dde24504c879b55f3b5429
BLAKE2b-256 69170e5e99205f7c91a48af1830f54cdb1a53cbc405b5dae9bf8bab2188b280b

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 8a9bc4dcfc2bda69ee88cdb7a89b03f2b8eca668519b704384a264dea2db4209
MD5 611e69e2d38639655b53036a05b79613
BLAKE2b-256 321d65011170d26e75273cd629cfef3ed4ecfad5caca6560627192baa8d5220f

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 e152c26ffc30331e9d57591fc4c05453c209aa20ba299d1deb7173f7d1958c22
MD5 eb6375bc01f7a5849929ee717458fc5b
BLAKE2b-256 6e86ff52523b0b5e10f34bcf6b7667cc273c48064f2b5d48652e8e4a5a5a8196

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 193cc97d44b1e6d2253ea94e30c6f94f994efb7166e2452af4df55825266e88b
MD5 3794b605446124896041ea56d37079e4
BLAKE2b-256 2800e03d15a855dd59651eb5d6cafd75d0dff24dcf519124cec022d7f4fa77e7

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.2.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 374.0 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 dc24737d24ce0de762bee9c2a884639819485f679bbac8ab5be9c161ef6f9b2c
MD5 7295c22486847e7a7da51ee55abeec1d
BLAKE2b-256 dcf55a9c75fe6e0050f4c44afb23fdb67121226130c2cad5c0218bffa166fd97

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: pymongo-4.2.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 370.8 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.0

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 6bd5888997ea3eae9830c6cc7964b61dcfbc50eb3a5a6ce56ad5f86d5579b11c
MD5 3af1c3152f433de07d6328fa2f58cb43
BLAKE2b-256 f9f9b32092f2128ec395e066b40d45cd2eec09f0795d54edb69b5b73b22fdf05

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 69d0180bca594e81cdb4a2af328bdb4046f59e10aaeef7619496fe64f2ec918c
MD5 3693c2e25ecce909089e89360d4b0eb0
BLAKE2b-256 08dc8a71c84fce1a33c5672b28ef83174e1f2ebd46b470284640bc7d590ce7ee

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 83168126ae2457d1a19b2af665cafa7ef78c2dcff192d7d7b5dad6b36c73ae24
MD5 016081e1727481788a76995004c0e0ff
BLAKE2b-256 5a54933d7c9a43e52db718ec51973a772f6752017e2cbd253833eb8c09c111fc

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 e64442aba81ed4df1ca494b87bf818569a1280acaa73071c68014f7a884e83f1
MD5 6fed58046a461959fee287213e433843
BLAKE2b-256 ba867f1d0fb79a0dcefec013439bfe8051a63991994465421b96b60c17b0db20

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 764fc15418d94bce5c2f8ebdbf66544f96f42efb1364b61e715e5b33281b388d
MD5 6f9899601ed7b565faa50652d29ed200
BLAKE2b-256 de9c72c2c48c40c4eb5d914e2b6ba6e53500c17c36752c3957d77a4b9586cd15

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1a957cdc2b26eeed4d8f1889a40c6023dd1bd94672dd0f5ce327314f2caaefd4
MD5 5d7106b32d8d14e2a93e7d558ae8dca5
BLAKE2b-256 59e88ec3ac2f982fe7f7fda6fe6cf12b4dac2228aacd0d69198a60bb23543a58

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 e1b8f5e2f9637492b0da4d51f78ecb17786e61d6c461ead8542c944750faf4f9
MD5 b55adeeffcfc95f019512fe1c4341e92
BLAKE2b-256 ec502607caf93ab34efe2e91c2e408f6383cfc210e5da3915fd6cfe073fef5ae

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 80cbf0b043061451660099fff9001a7faacb2c9c983842b4819526e2f944dc6c
MD5 1e6965678e08da68c9862433b1cc065f
BLAKE2b-256 9d8f154081259fa4b325c4fc619d1245dbf125d4e9186fb0f43beba0512c716e

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 68e1e49a5675748233f7b05330f092582cd52f2850b4244939fd75ba640593ed
MD5 5d38e1751001a2e045bca9503113b7a6
BLAKE2b-256 029a6faefa2c66c7a4effd38b25244d3eb2dbd00fe348018e8bbf7ddd11f2753

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 ed90a9de4431cbfb2f3b2ef0c5fd356e61c85117b2be4db3eae28cb409f6e2d5
MD5 e72db9208adc55fbef784974feb9246a
BLAKE2b-256 e3bd630ff2135f10a2addaf4e3a8261caa740206b7212fe881052b6a3f2cf5c6

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 b211e161b6cc2790e0d640ad38e0429d06c944e5da23410f4dc61809dba25095
MD5 8d44a9f0108b65b828f622b6a56eabef
BLAKE2b-256 7762e3bc2e9297bc1d1b05393289471777e75be5d65d1ec7a6ebe8462f1f0272

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 60c470a58c5b62b1b12a5f5458f8e2f2f67b94e198d03dc5352f854d9230c394
MD5 edc2fcb2f32006003f9f8219d99afcad
BLAKE2b-256 d316550b5449a5bf8582f38d5c04a6a22cc74882070c9eb25575bd40ca5e882a

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e08fe1731f5429435b8dea1db9663f9ed1812915ff803fc9991c7c4841ed62ad
MD5 19fccd2e6f28d9707bad02fb883c7479
BLAKE2b-256 225269067becfe5893928268a9f01dedffdc26649715b11769aef8c48f90e7a0

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 701d331060dae72bf3ebdb82924405d14136a69282ccb00c89fc69dee21340b4
MD5 8b2b66852051832269562c125a6e1577
BLAKE2b-256 feb443eaf85d01d0e9d7e5e80c71e1aff5f9a8a1ee4ae7c6083e0bf1392cc635

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 e39cacee70a98758f9b2da53ee175378f07c60113b1fa4fae40cbaee5583181e
MD5 7c27691487a03b0fb956be29429deab5
BLAKE2b-256 7ce9d82ad51ef3a0c481ed1e0946ef78fc5b475b551fefaf4d6c59f2c027d827

See more details on using hashes here.

File details

Details for the file pymongo-4.2.0-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pymongo-4.2.0-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 fe0820d169635e41c14a5d21514282e0b93347878666ec9d5d3bf0eed0649948
MD5 672a65fbb021762d9bc8dc6b188d3b55
BLAKE2b-256 65509c42d2d30d588dd1c3f1fdb88394334319b937405e273d7a71b24de417dc

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