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 3.6.2+ and PyPy3.6+.

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

This version

4.1.0

Download files

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

Source Distribution

pymongo-4.1.0.tar.gz (774.4 kB view details)

Uploaded Source

Built Distributions

pymongo-4.1.0-cp310-cp310-win_amd64.whl (363.2 kB view details)

Uploaded CPython 3.10 Windows x86-64

pymongo-4.1.0-cp310-cp310-win32.whl (360.4 kB view details)

Uploaded CPython 3.10 Windows x86

pymongo-4.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (470.6 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pymongo-4.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (473.7 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pymongo-4.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (477.4 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pymongo-4.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (471.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pymongo-4.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (463.9 kB view details)

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

pymongo-4.1.0-cp310-cp310-manylinux2014_x86_64.whl (487.8 kB view details)

Uploaded CPython 3.10

pymongo-4.1.0-cp310-cp310-manylinux2014_s390x.whl (489.4 kB view details)

Uploaded CPython 3.10

pymongo-4.1.0-cp310-cp310-manylinux2014_ppc64le.whl (493.7 kB view details)

Uploaded CPython 3.10

pymongo-4.1.0-cp310-cp310-manylinux2014_i686.whl (482.5 kB view details)

Uploaded CPython 3.10

pymongo-4.1.0-cp310-cp310-manylinux2014_aarch64.whl (488.1 kB view details)

Uploaded CPython 3.10

pymongo-4.1.0-cp310-cp310-manylinux1_i686.whl (482.5 kB view details)

Uploaded CPython 3.10

pymongo-4.1.0-cp310-cp310-macosx_10_9_universal2.whl (362.9 kB view details)

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

pymongo-4.1.0-cp39-cp39-win_amd64.whl (363.2 kB view details)

Uploaded CPython 3.9 Windows x86-64

pymongo-4.1.0-cp39-cp39-win32.whl (360.4 kB view details)

Uploaded CPython 3.9 Windows x86

pymongo-4.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (469.9 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pymongo-4.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (473.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pymongo-4.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (476.9 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pymongo-4.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (471.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pymongo-4.1.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (463.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ x86-64

pymongo-4.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (466.9 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pymongo-4.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (463.3 kB view details)

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

pymongo-4.1.0-cp39-cp39-manylinux2014_x86_64.whl (487.1 kB view details)

Uploaded CPython 3.9

pymongo-4.1.0-cp39-cp39-manylinux2014_s390x.whl (488.9 kB view details)

Uploaded CPython 3.9

pymongo-4.1.0-cp39-cp39-manylinux2014_ppc64le.whl (493.2 kB view details)

Uploaded CPython 3.9

pymongo-4.1.0-cp39-cp39-manylinux2014_i686.whl (481.7 kB view details)

Uploaded CPython 3.9

pymongo-4.1.0-cp39-cp39-manylinux2014_aarch64.whl (487.4 kB view details)

Uploaded CPython 3.9

pymongo-4.1.0-cp39-cp39-manylinux1_x86_64.whl (463.2 kB view details)

Uploaded CPython 3.9

pymongo-4.1.0-cp39-cp39-manylinux1_i686.whl (481.7 kB view details)

Uploaded CPython 3.9

pymongo-4.1.0-cp39-cp39-macosx_10_9_x86_64.whl (362.9 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pymongo-4.1.0-cp38-cp38-win_amd64.whl (363.1 kB view details)

Uploaded CPython 3.8 Windows x86-64

pymongo-4.1.0-cp38-cp38-win32.whl (360.3 kB view details)

Uploaded CPython 3.8 Windows x86

pymongo-4.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (479.0 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pymongo-4.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (482.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pymongo-4.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (486.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pymongo-4.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (480.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pymongo-4.1.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (481.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ x86-64

pymongo-4.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (473.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pymongo-4.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (471.4 kB view details)

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

pymongo-4.1.0-cp38-cp38-manylinux2014_x86_64.whl (497.1 kB view details)

Uploaded CPython 3.8

pymongo-4.1.0-cp38-cp38-manylinux2014_s390x.whl (499.0 kB view details)

Uploaded CPython 3.8

pymongo-4.1.0-cp38-cp38-manylinux2014_ppc64le.whl (503.2 kB view details)

Uploaded CPython 3.8

pymongo-4.1.0-cp38-cp38-manylinux2014_i686.whl (489.1 kB view details)

Uploaded CPython 3.8

pymongo-4.1.0-cp38-cp38-manylinux2014_aarch64.whl (497.6 kB view details)

Uploaded CPython 3.8

pymongo-4.1.0-cp38-cp38-manylinux1_x86_64.whl (481.4 kB view details)

Uploaded CPython 3.8

pymongo-4.1.0-cp38-cp38-manylinux1_i686.whl (489.1 kB view details)

Uploaded CPython 3.8

pymongo-4.1.0-cp38-cp38-macosx_10_9_x86_64.whl (363.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pymongo-4.1.0-cp37-cp37m-win_amd64.whl (363.1 kB view details)

Uploaded CPython 3.7m Windows x86-64

pymongo-4.1.0-cp37-cp37m-win32.whl (359.9 kB view details)

Uploaded CPython 3.7m Windows x86

pymongo-4.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (462.8 kB view details)

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

pymongo-4.1.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (466.0 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

pymongo-4.1.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (469.9 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

pymongo-4.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (462.9 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pymongo-4.1.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (464.9 kB view details)

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

pymongo-4.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (456.7 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

pymongo-4.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (456.4 kB view details)

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

pymongo-4.1.0-cp37-cp37m-manylinux2014_x86_64.whl (480.1 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.0-cp37-cp37m-manylinux2014_s390x.whl (481.5 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.0-cp37-cp37m-manylinux2014_ppc64le.whl (487.0 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.0-cp37-cp37m-manylinux2014_i686.whl (473.4 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.0-cp37-cp37m-manylinux2014_aarch64.whl (479.8 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.0-cp37-cp37m-manylinux1_x86_64.whl (464.7 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.0-cp37-cp37m-manylinux1_i686.whl (473.4 kB view details)

Uploaded CPython 3.7m

pymongo-4.1.0-cp37-cp37m-macosx_10_6_intel.whl (392.4 kB view details)

Uploaded CPython 3.7m macOS 10.6+ intel

pymongo-4.1.0-cp36-cp36m-win_amd64.whl (366.1 kB view details)

Uploaded CPython 3.6m Windows x86-64

pymongo-4.1.0-cp36-cp36m-win32.whl (361.1 kB view details)

Uploaded CPython 3.6m Windows x86

pymongo-4.1.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (461.8 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

pymongo-4.1.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl (465.2 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ s390x

pymongo-4.1.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (469.0 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ppc64le

pymongo-4.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (462.1 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

pymongo-4.1.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (464.0 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.5+ x86-64

pymongo-4.1.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl (456.0 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.5+ i686

pymongo-4.1.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (455.4 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pymongo-4.1.0-cp36-cp36m-manylinux2014_x86_64.whl (478.6 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.0-cp36-cp36m-manylinux2014_s390x.whl (480.1 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.0-cp36-cp36m-manylinux2014_ppc64le.whl (485.6 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.0-cp36-cp36m-manylinux2014_i686.whl (471.8 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.0-cp36-cp36m-manylinux2014_aarch64.whl (478.3 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.0-cp36-cp36m-manylinux1_x86_64.whl (463.4 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.0-cp36-cp36m-manylinux1_i686.whl (471.8 kB view details)

Uploaded CPython 3.6m

pymongo-4.1.0-cp36-cp36m-macosx_10_6_intel.whl (390.0 kB view details)

Uploaded CPython 3.6m macOS 10.6+ intel

File details

Details for the file pymongo-4.1.0.tar.gz.

File metadata

  • Download URL: pymongo-4.1.0.tar.gz
  • Upload date:
  • Size: 774.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0.tar.gz
Algorithm Hash digest
SHA256 dbba77bc0b706c7ee496fc75a6c6ed406d85f6091d5fec488a8944c3828e6462
MD5 c55c1d8e078f6f4448b57213a55a2ade
BLAKE2b-256 3fd8d0c1f1b753cb70e6286e6ba45711130e5019c578b416e2cc086e483ac9ef

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.1.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 363.2 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 6238448e77b112e90e653f20ada0c9377e4ac5d4174c9007c2d898fcddd1630c
MD5 124397286ecf1dd9983b2820dfd64aa1
BLAKE2b-256 165d68833a0e4d80d369afd58cb6c22316106eafbb5d3982141a485e870d9590

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: pymongo-4.1.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 360.4 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 965fce3efdedaf80380a839566b04592d29c2b82100cb0fcfe2f0ecc9f2ce242
MD5 9ddbc215e24e3d33ce3467e55c53232e
BLAKE2b-256 a8511de09cc79ec0db973a030ceae20a1e8ce2f5997a331d3f7fac924652ed29

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5229009e64b1b2d6281108c8596ae349b677be0d7087ad1e258aefd4f1a2d27f
MD5 beaa5c3ee735eb50162a94e045ab0aca
BLAKE2b-256 8db136dfefb8a44700b1ac295dbc7bca63abee28b1e0c5c7fa35efbaa19a82c5

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 6f8b007eb7fc702806e0e50c0d723fbd086505be30baaed236df88d9e735d03c
MD5 4e526c23573831bccd7c109a380f27d8
BLAKE2b-256 e266a1f3a44e42875271d0aa768458e237d0ca08b2757fa6427403fd3684733f

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 5bec39cbfb9367884d67a866f10c4662d8a018a9f85ae84a1e16031a6a00f6d3
MD5 3b7cf905e8e413a82c479ef80cdb07e1
BLAKE2b-256 098bd233083b3c3251c4c0d704c77683d643e98c2c759bf7e31406a972cb2069

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e3302b083ae954971c1293321c2c4d8cef53113083675b454feebd825fea1f75
MD5 d4957dd994cf0cb0dbe88a608b08b310
BLAKE2b-256 36c09ef8f67f230a0a934634e046b49b01fbc6c2226277859cb2aaaabb14a8b3

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3982bdef9f111ad3bf803629e02a3369d8b120c7fdd2477cbfeb1718799fe28a
MD5 4bfa80660e8adbcd700c8f6329e400d9
BLAKE2b-256 1a74f3bad909e3c7d8fd7899b760be1f9461d671a93d5b54cb60f53db5886d9e

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f1a173deee5152c235b9d47fabcd85b2d8ef7f36f7c091bffcb37433168a82db
MD5 d3ee57bba5980263101e1b047dfcbc21
BLAKE2b-256 a2e31087fb1f1a8854fad8382bf64e2bcd4d94ff38769acdec88a95bf88677da

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 f2f7aedae4d938e0fe824e2d2d392f633d728e9ff36d5614879d64272783a67c
MD5 4dbc084583ade7c4f72de737595b6b7f
BLAKE2b-256 962f1b829f2c7c30cf0a4a7cc040c48a546d7ed0420bc25895c1184affd959f0

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 d241ab2d22eb0fdec26a8f1135320d711c300aa961c3fea07ca9675833bff46d
MD5 a035476fdcbdd78bb7b2bcdc0fae57ba
BLAKE2b-256 3964bada8238901eaeda49c160dc529af699c8b80c25a96c7ae09ee8355c040f

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 fd7e75547ec10e6aa1729e65fdf992c63652e4ed8d3c0bb66da19fc892c21e2c
MD5 f98af4fb94f29dd005c81135e21dcd08
BLAKE2b-256 46c7b373f7680ecbc3479e33e66b168d35a8a7ef0af9c86ae392db98ee339ac4

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a057f9bc3a625142f768c4eba2c5b2dd0fde7504c655b92864fe2a2952ea6786
MD5 5e6ef71eb9f06a6f3556c265e2db4d82
BLAKE2b-256 48188304a91719de29a9f2d13d650c366eaeb99ab057b8ab0430e74c8a819359

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-manylinux1_i686.whl
Algorithm Hash digest
SHA256 fcce0e4da390db121eedb4867b84ecc38e57f2d6be5dfd9b2dee5ce69c65b9da
MD5 abb43a40d79ad9685015b5e038f86450
BLAKE2b-256 85dba06f9ec35f4bbb87dc191dbae89e9a27aba2a3064d44d6735e0d7b23dec1

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 f9f64e25deec05ce224a4b9ebee087b04d9fcc24c2df1ecea91eb1a2ff9608a6
MD5 ccafa2ad9427eefcf75bfa3c6ed7dcc4
BLAKE2b-256 cee785b4e1fc0c6942a2c2364701a7a499f1c4ec0d17a36a0ad226ff221a6377

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.1.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 363.2 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 52f636c67f8aab3b9736e4f2e1f366cb96f28f6a00baebe0885a919830866130
MD5 4bfc0bd2548456a113702658cf983c88
BLAKE2b-256 a1bfcd233fb4ec88234fe865731a1803a9647ace0f3f65a275f451ec46365fe3

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: pymongo-4.1.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 360.4 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 2cb0148f197891cce964b53192225eee7ffac61ae39311c3447592eee4474b98
MD5 f2f42abd56f6459b9628d1f8c56c202f
BLAKE2b-256 47aac15649303ff25a4857f310895fc0684106a4cd80ff808f66f7cf652f3eb1

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 949aaba1ad973941e9a8dd91607e474e9ce4746dac4679d05d0115bbe2eabc53
MD5 fe0acdef0dce45bac97763afe92b9eab
BLAKE2b-256 588a80f8e9d5b02bdbeb213ddd8a96ac00b2dda9f10e65b8d2ca90920c05d0e6

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 de7972a622b3cf48181ff1411e9a854b31988d5f283bb693f7413a56d1b9491c
MD5 56af1be05f64292cfb54e9563d488a2b
BLAKE2b-256 70b9f1d12b433800b61532d6e9bd62fd0a330dfe31373508cf86767d6cde0926

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 0dc85be60495a18714f3807266f5e88ad3a517e096be5ac3e0560a3fc1429031
MD5 c4a4f3ade4dd569f5b090c5cfc53c562
BLAKE2b-256 6397b77fefba14db250943642417607e4eeb4eb81ad74ef975331fc79ce8c4c0

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c3fe1f1750afd3024dc7fdcdc730162df013f311038aa5d198f4624fa4df9c0e
MD5 b3c5937d58fee6690f43461bf039416e
BLAKE2b-256 36e7ed365301304d90cf5d2c5da04369f52a3e8612400357ce35f6a774f728e6

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 238541f6defbfea8725c5c30af13dcf9800c7f683bba2dde6c4b1a908f5da331
MD5 961d9131047155835801b224ca4f3f60
BLAKE2b-256 15d5cd931faee48434306c39d5b832e88912ac5d25e380e9b9d33518be6f150d

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 1b7091ac8ca82c03e471b0c9482484b2e11c26fe13b6759534ca213c11eb13a5
MD5 5f09ec64c1ddabf3a25c9c66a4c2b1e1
BLAKE2b-256 4649c70455a83d1d6f478e890dde5cb8a03a561e4e2bc5f0ea080e267dc92cba

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f36dac80c71e97583309408db2ae243f20e3fd2b25a86381e63434772aad6214
MD5 f99e4621524237a3394a3b3905fa6b95
BLAKE2b-256 1f2792d9fe0dc03e8a851ef52d36150cb3ec0a0bcc203d5fb588725f39b8f1bb

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9dea8843b6d99edd6499160ec66c3772284e68d272101f356adadcb3b973287a
MD5 b565ddca58a89625f9e214e60b09defa
BLAKE2b-256 0ca95b5918026330cd54f5f00a06304bb5fa67ab04214e40e59ccd3f94187790

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 774d1b6a7cd1bbd34846cd3301a01dd4eb2ffe0bf19ebd7da79f381207713d86
MD5 031e580f4401d1492a495a4b255e5e5f
BLAKE2b-256 57f1da11a2162bee7ef6a972edc528dd9764e6461c525af81e95db00eaf3fb88

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 a701533c5a24f02a5735f60ea6fb723fa8c3319aad17d6062546481e4fa617c3
MD5 db60ee9d8b713c697c537e08c6c03f5e
BLAKE2b-256 35d6bbe9b1153a91ad7f2c5cdf873660e887dde9ed05e49c1ac366bfd524a619

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f479ca915db27ef719369090645c24fcca0b16e7ff1a929b94137aa8a9bb84cf
MD5 8779ad2dffffd91f53e395c42b34caf9
BLAKE2b-256 f0784b16639558345255c5e712d1660e983c6d784b2b8c0504b2a0c8ee7fedcc

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fc5d6f9807d7dcc3d554672551c5982c7f68e317a8d79e66c33d3aa53a6044d1
MD5 b543362aea7a88e21cd2c08998ebec75
BLAKE2b-256 41f40d90112a0f195c0b472fba2184b866a51e9582ca0e8794d4424e5c76a638

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 92b0dbc877721da8e77a8db0dfb0a9e09800d5080dc82e9e8494188b294cb263
MD5 60cf523da5ba40045c22c1e35ecda98e
BLAKE2b-256 32b7e0b30da86ae1e89be2510337df12816fb5270bd47522b48e9483fcc9c88e

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-manylinux1_i686.whl
Algorithm Hash digest
SHA256 74bf7085e69271fe30b98492258b9a3723046e7a1a7f4d16de3df528e1cfb7ff
MD5 88c113b5e90c2fd8f4154369c5b1fea8
BLAKE2b-256 d7f728ba1cfe6ca7f2b5a904d33166d21798048b8043e86764fed4fd43db5492

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f17e37e2e4fa3f68fcff2cc4e70fca1d3e2a938097133281084c28f382f9798b
MD5 84dd330fff993b8706eacbf01441d3ad
BLAKE2b-256 43277a368eb50df35d6546f85269741245194024bb3b4293a551c5a74addf47d

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.1.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 363.1 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 77037e37b33e93aa3f3998cd81d8256cd4c59eea79802601b3efbc0600f6618c
MD5 428d714ec45975ec347804243847b4f7
BLAKE2b-256 0f23e077c1a740db35a2181345dab00de20da31fc30da11d2c4397c386aa5cf6

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: pymongo-4.1.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 360.3 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 8832b9424346c97aefd15d9c264e7f51e5b04835a57f25962cdb59f7ebd60def
MD5 8dfb03a226f14fb7fc04e98b4530a178
BLAKE2b-256 d26d0fc26b86fa00b98a37acd4c4e2917d0d4f633069979a749ed2861befc70d

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8f2ac2c26b04936aa1fe6bf1ff9ff68398eda38c8ef045040174f7e64d2f7147
MD5 e85246de0d8f50b1704f9002a20daa15
BLAKE2b-256 b7a428ce52236c42a310e021eaaa5fc5528bd3b7c732c98da7ef33ddb0d037bb

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 3b38723daca6d8e97593a9eba75d55753b23b0f45f97a54c61739b3fb95ab64d
MD5 01e601e32418a789d3d2579757b68010
BLAKE2b-256 cd6da99e434fa020fc635aba79f77b66c1fa93a6a0e438c635fd5d60ec43a924

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 5973b16f82c4ff64be8dfca703920c33eb70fa0e450b06fcaf045bb0b78777ed
MD5 ae3e12c681becdee19579af070911844
BLAKE2b-256 1e45f116e997b93a0ecb85c28e3a0b5f67be8a7a32bea9204c3e1cc6035042db

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b58bf8b4053260ce5a4847f10f607107f8b5d33ffa0d2d18b5fbaa6cf9acc994
MD5 5c78d4756410526da74a715fad9c9baa
BLAKE2b-256 57deae2b5ab2071cff672d67e07ceaac6768ae689f004cedfabf9b83d7dafeec

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e7986e293b02b4ac23694527cc23f14218b1287896227348fc83d52ff10c308c
MD5 2484ff1e0a5cd00478167014ce8dec03
BLAKE2b-256 ba8a8b9b4832d329b78465f2ac002f3820cfa911d5655e7b736567ce02467147

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 69805e3ef5e80b37d578f55f898df7824d2a6287bfd63a7694d6ededb8aaa0ab
MD5 d90147d7b54f9a1711f1bbbeebecceba
BLAKE2b-256 6f48d84eeaa474e3553e643f1481e2f09a2bab5105fb898f1b987a36cd043304

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4a37b574243b727f12cdc3e2721238dfe891ef8642d78ab93be3a8fee60e5420
MD5 f845ee75b523b76ac5498de5f593f63f
BLAKE2b-256 18be7323d670c8434e07d6575f740ad7355c53f4f08600f3e498be6450d3f080

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 be8d65ff7768821d41d76e3d65a69fe25acd2080f9551306ea5598b2c308663d
MD5 339887deb331fb32c345c94ca38d35a1
BLAKE2b-256 35802d76a6885c59ad0d1e766e413f87dd01b696e879bbe004c91f0014c96686

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 2e22273a601d64dbb858ab39d66cf777b07f1b3df32db5f8802fa4020870e8a5
MD5 8d3111f22fdff3f6fc63c91730fffe19
BLAKE2b-256 90602b44479e1b8ccb07d6324b4baab706caa34205ac8c5ef43dd5cf25cd4985

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 53e598ee484e5fc7629c9b222c0f0c7204e8c54428cdcfd94b3a851eeee28061
MD5 a6107f3ed78ad7dac51e98c2f88e6d67
BLAKE2b-256 fa9fcf6a3db81c5bd82edbee95a302711f5a528e3d87eac41542ee00908bfae4

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 045408d04228987b1d4921ff6dfc3a5431cc6067400833a8bbdd050248d1e01b
MD5 dfd024bf581c662bd18842830749a82c
BLAKE2b-256 7aa49b96af559c7cd296cafabfe5703fcdf531172477bc033281c9e32b0f0fa8

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3e6929153273d5239ac63faa70486837ba51eedf58f1e8f9b7b9ab7ec8add1c3
MD5 45b45bc910e1b9ed2b9698daa3a4174e
BLAKE2b-256 7571c6cbd0378e1a629d48d5f49b68e942e859ab9f37bc990a4553bc04422569

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 dbdc1f8ccb94d46ca1e92c31d2fa1df88ec2015237f537b1dad19d05de9ccf24
MD5 df45df7836201f730ab00275721cbc0d
BLAKE2b-256 df2e6664793decb95f547bdf382de19d9caab5f6b29e65eb6ebef1a1b7937269

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 5a1c8e81d4090113a13d7ef95d9f77f3ab518d039cbfdaff408c37911acaba41
MD5 66610a099c7a84978e42cf51b87f280b
BLAKE2b-256 697d330186c877c0d735aeaf4c7a7bbe0351157deb99f8c6dbce5600ae72112f

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d152e91d298a276f53864b42d24f170dac0dc4ce0777ac5a06557820ea0a8f64
MD5 0b5f91a1c31aeb73dd083727e32fef8c
BLAKE2b-256 4799f70c58a77963b50a104c01dc0e5341717e8bd9d28e4891014a8497d389a3

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.1.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 363.1 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 a13d1c6658059171a6a4f6c0a6883a15f4edbddd602759b7664ef1d155a27c5e
MD5 b7b980e6f0c73e560b85afd9bf2947f4
BLAKE2b-256 8e4fb8e2d0df09934f775b67a7985c38b89475c964015e0c33ce5a42bc5e12fe

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: pymongo-4.1.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 359.9 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 60c43e6aa02c7bdfb7b99de8c1c656e14b42ea543e1cf2dbd721a272e3b8283d
MD5 9dab5879ae256ce81c7d056135d4151a
BLAKE2b-256 dbb9b895b7768430eba7e588e864d2e9485e3ef90d5fcde1ce854585f2e3ade7

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5223abea94bbf502e5fbc2c7c2f34c7d82b3feb6f3a25d7d2b01869a8c814539
MD5 7d9c1b3b96a148d596bf78f135650552
BLAKE2b-256 8b67ca23d06842a3af4412b60f3fc0c132c69df3b2a666a4b4d4c748f76fcdef

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 cafafee3c806c44762c4b0a8119d147de742f82eb6dd12c6dabe868f38b751d9
MD5 750bb6d581d3692657b22de4209e34a0
BLAKE2b-256 1495012f862793a70af21e824544eb4417421493d7330a8b2e6393deb8c98880

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 7edbff4630058ad185cd520bbad0e528f544101e8bfa23cfd7f131031d6a81b0
MD5 c4c10020654ab6540ce738e8f0a9dcc1
BLAKE2b-256 48c59a472acd58ae47c0d9070756baa9bf1af7e47fc78f4571038629cc80eddd

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b74e8784c810b8c9b1fdd511581fff085699e564707c4d696d00000d92b7e2a5
MD5 1f06e231f592ea73303e6c5c98a55e0d
BLAKE2b-256 b3f8ecc53bf0f4e02acb9fb4f14faace79fbbc129358cfcb9ff024f9cfe828f6

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d69f6a20923a37ac724d945e037262a18ba3a6a6fdda4cf893cbbe7a597cbfab
MD5 5997577adae5f67d5dded19c3af278c4
BLAKE2b-256 c3ca11a7c5f0d88e939d6b91654f6ff219e5730e7505581a2d8fe298233a020b

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 ed68e9b94bda394c5100cbc5efbf95340392794a1c56ccbab498c829fae56830
MD5 7d7999df65c39654de175cecad1620eb
BLAKE2b-256 bc219210f644b4a9ff69fc02225bb86698eadfc48f47850134bcb44860ab045b

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f843732762cce0cff996148da2eaf8855fd739ba90bc4a322f9c2f6d31d010b3
MD5 28b379d7ec845f1e3882f3cde9377acd
BLAKE2b-256 073e604496545bb784858e4424e5853df25909183f4b3a382e0d56fe6ed8aa8f

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e20c4100a15a4359aa29aeae84b68281c72456a6ada05f02830c3214aa616189
MD5 aff1bdb401abd2af9601e2e2b3db78e3
BLAKE2b-256 210661a1549775ae0b7db8415704997cc7ecb156e2778b4b0a41bdf1ae08a041

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 64cdc72149ee345caa36705f161615b98adfd5c7f3200d1f87a52c87d3d4252e
MD5 8e7e49dc51809a46a94e48e869eb503c
BLAKE2b-256 f994e1c27db6c87d83a8be8d39cab7a4f77128174ce5348a643f03e2facdd8c9

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 b5232fa63d29c6748d1d379e6338430f5dcaa87c0c1abca02d9ca40a9af004d1
MD5 ced37b44ae688a30247d5cb3e9261290
BLAKE2b-256 ea67fce2c380c01fc07074b25b4f4fa58347b1b250e54af0c39f836da983bc0a

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c476103e685c80f5d59b06daf25c25c9afd1b8f102c24be8eb27f91b38e21e5b
MD5 fe75b2c9aba6cce7c536ec2ec70f7c92
BLAKE2b-256 29298a26f85444a222b203f88ace0ae105eab85761a3cbe2c43ca0253a0a869a

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7354c272eaf249581ee5278d8cddd03c86daa3bf25bec0eb1a281951db72034b
MD5 461d3a4daf17644446b57ebb048dd393
BLAKE2b-256 9b2b7fc1f1d5e3121cdd146622ba1aeed54ec851b94e348b07c38dfa49357383

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7e4b3a51102a3d62fbc419470fde4d1d9744963c7235573eba4cd13c73211d68
MD5 33daa022e9c3065807811c751c9c8430
BLAKE2b-256 ae36ff3e8a2a089efc0802411e62d90c953addf60e097c555006f2c771c7cfc5

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 eac112595ea1e8e4320dfc37e58d55f7937ed837bba7054cadd7e4578e9d275b
MD5 44b466ba3942704be992ad08f78ff331
BLAKE2b-256 80c6bdde590e49362c569ba376ed81e5a7f3426d018ba67e98cf25b4722536e1

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 bd5d76ec106056ebe2cef9d5e4b7763572a90d14b97edaab25a93d6014cd327c
MD5 14ac1ef99fc5dcd5f6557fc494dd5a01
BLAKE2b-256 d74b0bd7c6606e901e191452651a1d056ebb6b437d88f2e82efad7748373629c

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: pymongo-4.1.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 366.1 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 44449e3c49d7a5d0fd9915c3e28119f28e62ed912379a973cd359c99ba73a6c2
MD5 84a47b6f241eb3360aeb559f335f2c3b
BLAKE2b-256 c367ef522e0ea30d0341db17d32df7e70961eedbb5942c0be9564feec260b75e

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: pymongo-4.1.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 361.1 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 c5bf1efc65eba07aa564e22c20cacb8b38463286405ef0976a6ff23cd78a9cea
MD5 7a19418738d4e47eac4a25a5a0abe4ae
BLAKE2b-256 e1090e7a2bd70ebfa4592279e58f607b8c7d6db18e78557ba2277e6e2c8dabdd

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 31e8713bfd1c68bada3c1b32101748204192286566e4ea7f720163193efcb497
MD5 bdc74f89b7c9e3538e7d7c322f805499
BLAKE2b-256 1776aa986f5d32f9afeface3b0b9691b4ca2472d5f0451e87e68ebd5dc406687

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 83ec44c587afd8c0d4582364d5379b560bfade5f3a560d089cc14c8d79e1295f
MD5 c55cd53380ed16a8ed8f06a15c38563c
BLAKE2b-256 d7015c96b565d4db8acdc04e74aff758d478482d6b2efab69d61111984175ce8

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c42c987b5854ea3c5a74009a905529c5045eb2a44fec793f8055e7a65f4b205e
MD5 55999db3e10ce52cd22c5050ca26440e
BLAKE2b-256 22ed05d9baab46ad642376b3d444aa2a34ab46765edb08a734f4b8ccc46874de

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3291394a77addc70afda8615c29509fd32d870641f95c4411ce3ce2b84a52a24
MD5 b142d0521cf23d4724df351c131f3d30
BLAKE2b-256 dc9d077781768c9c95ec733eb1f847750c0891e220bbc0ed06e5b973b48da290

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9e00894f1edaa85dff7d33d8a6df7d8eab04d8783c04c0654e0ec4b89bba3ae8
MD5 3aad471317604e6d8849697a2ca3bd8d
BLAKE2b-256 81ed905ee5950bedfe588646c139756ce5b67fc6d42dd69fcfc30b5ebc5cbd09

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c58cda2e1347b087c169e6fdbe184a273522214c7e9607b7d66accee119d552a
MD5 7b53163d96c3c69889ca92224ffd18eb
BLAKE2b-256 1088e010d3b560c8df09cc5f20ac8850ac78de3dc0cdc6582c8454b68e7401b8

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c67e29a22a1e27f5a59065792a32fee8dab9d9f716fac34041be8c55b22c93f1
MD5 0b09e9b4495490204410975b3560f686
BLAKE2b-256 3017fcee032930993394c57672d14034c584900505ea17db6ee08f57bbfad71c

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ecf19131972dad04e1254516f35d9e43d97929f282c7e3ad50eb313f80aae2cc
MD5 ce2b3552a86bdb50a6ef7b1c6d40234e
BLAKE2b-256 1c4dd5e6289aae9712844b9b67ca6930a3f23a4ecf254fe2ebeba05f54a4867c

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 177f751577109dca799746190fc261af5fc4538af60a297d772370c015475295
MD5 f4d0d8edf0970c6b07f0dde3a3c52e41
BLAKE2b-256 d81ea26d22382782d8fe1ad896fa3f88cc2781d9f7c3d237235ea159e344bdbd

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 e3aaffdac7456a5d2b759c129dc6d9f6d995d293e3aa9fafc810943782ca2559
MD5 dccc601b965b3d035701bf7455a69c6c
BLAKE2b-256 f0fd9fba1a38af622e3ecf5a74e9de9b19a0eb3d774e9b17e6c9b6c025879537

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e8e7baa22760a2b694ce5e5d33bc68c080ad00019125564e1c2450846e26fa55
MD5 6f40fdb7f37c250b761acc6deee87383
BLAKE2b-256 fe8f3bf08f930945e85bbf40268e5251d418edab313a060edc180ee62c1dc953

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 edf39f13633f5c429dcb4dc6db53916a702a8b9e5a3d277d72180a141030e3f8
MD5 a8a3ad3949aefa0411b3f106d4e04e54
BLAKE2b-256 cced828f4d56ee46e76a19560f128078bc34fd78bf1e8fead297ab5f33920e00

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2c8ab15928468ddae7a9fb474420a68c59a5e304910e5b3ba6bf66bd79f55e73
MD5 62a2a17bbe8e89f4474f1b54145dcd4a
BLAKE2b-256 2b637d859394730c53a2a2afea328022914ca644f218ba17203b0cd608e7ba87

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 0d218cb7f8828151909a8ca8365304968dd136cd4a178951a49766e35878f0bf
MD5 c9d962d3bf7f0a4c62aaaaa1d4004dbb
BLAKE2b-256 96cf0cb2617cfc9c6c1789234af25b98e8879070edf83380e30c327df8cbb95c

See more details on using hashes here.

File details

Details for the file pymongo-4.1.0-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pymongo-4.1.0-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 a8bd81e729ec5a5f333a930e157e37f3f1d2c5bcd7276080d3f5c0b9bcb49599
MD5 28c222f955110669151cf77a81a06db4
BLAKE2b-256 de24eedca4d46fb975180a26bc14d8f27fa1f0f0b25e0cfc8be9c72037558c23

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