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.

Author:

Mike Dirolf

Maintainer:

Bernie Hackett <bernie@mongodb.com>

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.

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-user list on Google Groups.

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

If you have setuptools installed you should be able to do easy_install pymongo to install PyMongo. Otherwise you can download the project source and do python setup.py install to install.

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

Dependencies

The PyMongo distribution is supported and tested on Python 2.x (where x >= 6) and Python 3.x (where x >= 2). PyMongo versions before 3.0 also support Python 2.4, 2.5, and 3.1.

Optional packages:

  • backports.pbkdf2, improves authentication performance with SCRAM-SHA-1, the default authentication mechanism for MongoDB 3.0+. It especially improves performance on Python older than 2.7.8, or on Python 3 before Python 3.4.

  • pykerberos is required for the GSSAPI authentication mechanism.

  • monotonic adds support for a monotonic clock, which improves reliability in environments where clock adjustments are frequent. Not needed in Python 3.3+.

  • wincertstore adds support for verifying server SSL certificates using Windows provided CA certificates on older versions of python. Not needed or used with versions of Python 2 beginning with 2.7.9, or versions of Python 3 beginning with 3.4.0.

  • certifi adds support for using the Mozilla CA bundle with SSL to verify server certificates. Not needed or used with versions of Python 2 beginning with 2.7.9 on any OS, versions of Python 3 beginning with Python 3.4.0 on Windows, or versions of Python 3 beginning with Python 3.2.0 on operating systems other than Windows.

Additional dependencies are:

  • (to generate documentation) sphinx

  • (to run the tests under Python 2.6) unittest2

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
u'test'
>>> db.my_collection
Collection(Database(MongoClient('localhost', 27017), u'test'), u'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()
{u'x': 10, u'_id': ObjectId('4aba15ebe23f6b53b0000000')}
>>> for item in db.my_collection.find():
...     print(item["x"])
...
10
8
11
>>> db.my_collection.create_index("x")
u'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

You will need sphinx installed to generate the documentation. 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. Note that you will need unittest2 to run the tests under Python 2.6.

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

3.2

Download files

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

Source Distribution

pymongo-3.2.tar.gz (473.6 kB view details)

Uploaded Source

Built Distributions

pymongo-3.2.win-amd64-py3.5.exe (382.3 kB view details)

Uploaded Source

pymongo-3.2.win-amd64-py3.4.exe (465.7 kB view details)

Uploaded Source

pymongo-3.2.win-amd64-py3.3.exe (465.8 kB view details)

Uploaded Source

pymongo-3.2.win-amd64-py3.2.exe (467.9 kB view details)

Uploaded Source

pymongo-3.2.win-amd64-py2.7.exe (466.7 kB view details)

Uploaded Source

pymongo-3.2.win-amd64-py2.6.exe (467.2 kB view details)

Uploaded Source

pymongo-3.2.win32-py3.5.exe (369.9 kB view details)

Uploaded Source

pymongo-3.2.win32-py3.4.exe (431.2 kB view details)

Uploaded Source

pymongo-3.2.win32-py3.3.exe (431.3 kB view details)

Uploaded Source

pymongo-3.2.win32-py3.2.exe (436.1 kB view details)

Uploaded Source

pymongo-3.2.win32-py2.7.exe (436.0 kB view details)

Uploaded Source

pymongo-3.2.win32-py2.6.exe (436.5 kB view details)

Uploaded Source

pymongo-3.2-py3.5-win-amd64.egg (486.4 kB view details)

Uploaded Source

pymongo-3.2-py3.5-win32.egg (480.9 kB view details)

Uploaded Source

pymongo-3.2-py3.5-macosx-10.6-intel.egg (510.8 kB view details)

Uploaded Source

pymongo-3.2-py3.4-win-amd64.egg (484.7 kB view details)

Uploaded Source

pymongo-3.2-py3.4-win32.egg (481.2 kB view details)

Uploaded Source

pymongo-3.2-py3.4-macosx-10.6-intel.egg (511.6 kB view details)

Uploaded Source

pymongo-3.2-py3.3-win-amd64.egg (491.9 kB view details)

Uploaded Source

pymongo-3.2-py3.3-win32.egg (488.3 kB view details)

Uploaded Source

pymongo-3.2-py3.3-macosx-10.6-x86_64.egg (519.5 kB view details)

Uploaded Source

pymongo-3.2-py3.2-win-amd64.egg (482.4 kB view details)

Uploaded Source

pymongo-3.2-py3.2-win32.egg (478.5 kB view details)

Uploaded Source

pymongo-3.2-py3.2-macosx-10.6-x86_64.egg (510.0 kB view details)

Uploaded Source

pymongo-3.2-py2.7-win-amd64.egg (475.1 kB view details)

Uploaded Source

pymongo-3.2-py2.7-win32.egg (471.7 kB view details)

Uploaded Source

pymongo-3.2-py2.7-macosx-10.11-intel.egg (497.4 kB view details)

Uploaded Source

pymongo-3.2-py2.7-macosx-10.10-intel.egg (497.3 kB view details)

Uploaded Source

pymongo-3.2-py2.7-macosx-10.9-intel.egg (497.8 kB view details)

Uploaded Source

pymongo-3.2-py2.7-macosx-10.8-intel.egg (499.0 kB view details)

Uploaded Source

pymongo-3.2-py2.6-win-amd64.egg (477.3 kB view details)

Uploaded Source

pymongo-3.2-py2.6-win32.egg (473.9 kB view details)

Uploaded Source

pymongo-3.2-py2.6-macosx-10.11-intel.egg (499.1 kB view details)

Uploaded Source

pymongo-3.2-py2.6-macosx-10.10-intel.egg (499.0 kB view details)

Uploaded Source

pymongo-3.2-py2.6-macosx-10.9-intel.egg (499.4 kB view details)

Uploaded Source

pymongo-3.2-py2.6-macosx-10.8-intel.egg (500.6 kB view details)

Uploaded Source

pymongo-3.2-cp35-none-win_amd64.whl (243.0 kB view details)

Uploaded CPython 3.5 Windows x86-64

pymongo-3.2-cp35-none-win32.whl (237.8 kB view details)

Uploaded CPython 3.5 Windows x86

pymongo-3.2-cp35-cp35m-macosx_10_6_intel.whl (267.0 kB view details)

Uploaded CPython 3.5m macOS 10.6+ intel

pymongo-3.2-cp34-none-win_amd64.whl (240.5 kB view details)

Uploaded CPython 3.4 Windows x86-64

pymongo-3.2-cp34-none-win32.whl (237.2 kB view details)

Uploaded CPython 3.4 Windows x86

pymongo-3.2-cp34-cp34m-macosx_10_6_intel.whl (266.9 kB view details)

Uploaded CPython 3.4m macOS 10.6+ intel

pymongo-3.2-cp33-none-win_amd64.whl (240.5 kB view details)

Uploaded CPython 3.3 Windows x86-64

pymongo-3.2-cp33-none-win32.whl (237.2 kB view details)

Uploaded CPython 3.3 Windows x86

pymongo-3.2-cp33-cp33m-macosx_10_6_x86_64.whl (267.2 kB view details)

Uploaded CPython 3.3m macOS 10.6+ x86-64

pymongo-3.2-cp32-none-win_amd64.whl (240.5 kB view details)

Uploaded CPython 3.2 Windows x86-64

pymongo-3.2-cp32-none-win32.whl (236.9 kB view details)

Uploaded CPython 3.2 Windows x86

pymongo-3.2-cp32-cp32m-macosx_10_6_x86_64.whl (267.3 kB view details)

Uploaded CPython 3.2m macOS 10.6+ x86-64

pymongo-3.2-cp27-none-win_amd64.whl (239.9 kB view details)

Uploaded CPython 2.7 Windows x86-64

pymongo-3.2-cp27-none-win32.whl (236.8 kB view details)

Uploaded CPython 2.7 Windows x86

pymongo-3.2-cp27-none-macosx_10_11_intel.whl (261.6 kB view details)

Uploaded CPython 2.7 macOS 10.11+ intel

pymongo-3.2-cp27-none-macosx_10_10_intel.whl (261.4 kB view details)

Uploaded CPython 2.7 macOS 10.10+ intel

pymongo-3.2-cp27-none-macosx_10_9_intel.whl (262.0 kB view details)

Uploaded CPython 2.7 macOS 10.9+ intel

pymongo-3.2-cp27-none-macosx_10_8_intel.whl (263.2 kB view details)

Uploaded CPython 2.7 macOS 10.8+ intel

pymongo-3.2-cp26-none-win_amd64.whl (240.4 kB view details)

Uploaded CPython 2.6 Windows x86-64

pymongo-3.2-cp26-none-win32.whl (237.3 kB view details)

Uploaded CPython 2.6 Windows x86

pymongo-3.2-cp26-none-macosx_10_11_intel.whl (261.5 kB view details)

Uploaded CPython 2.6 macOS 10.11+ intel

pymongo-3.2-cp26-none-macosx_10_10_intel.whl (261.4 kB view details)

Uploaded CPython 2.6 macOS 10.10+ intel

pymongo-3.2-cp26-none-macosx_10_9_intel.whl (262.0 kB view details)

Uploaded CPython 2.6 macOS 10.9+ intel

pymongo-3.2-cp26-none-macosx_10_8_intel.whl (263.2 kB view details)

Uploaded CPython 2.6 macOS 10.8+ intel

File details

Details for the file pymongo-3.2.tar.gz.

File metadata

  • Download URL: pymongo-3.2.tar.gz
  • Upload date:
  • Size: 473.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pymongo-3.2.tar.gz
Algorithm Hash digest
SHA256 f50a5380b45a83c5ea1e673ff19363d3cfd5850f7620536e51341d26eb2ae979
MD5 463b4d325d8fb4070c04f15391b457bf
BLAKE2b-256 6e7f43437029eb25619da3af0c04118cefc2d2fbaf70eb0872b0b28d3d744652

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win-amd64-py3.5.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win-amd64-py3.5.exe
Algorithm Hash digest
SHA256 663fdf7bace1651c33c2cb466c8be42b71987dab9e641ee605cddeab011f041b
MD5 2d88cb4e2bc848e0c9c7ba20dea94825
BLAKE2b-256 475e9fb909da3d9872ce77ebee1336fb856d4e0947a779afec88e1aa7c184683

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win-amd64-py3.4.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win-amd64-py3.4.exe
Algorithm Hash digest
SHA256 003b189d5a4c9b65c9ff1dcdd4a3dd43ecd6aa33c80dbbea9d1d0ea501af046c
MD5 876bdfe8a5c6c24697bd723e876fc7d1
BLAKE2b-256 c0f9cc67aa7022feebdb8af6ac8e9c37be523ce72397d73a46547ade11f4e6d2

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win-amd64-py3.3.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win-amd64-py3.3.exe
Algorithm Hash digest
SHA256 1876bf0f23fdb54d09ec1979cf08e4cc8014bafc24ec092cfe4c8ecbbf9386fe
MD5 473847093796965c3ed5d8a04f2874e3
BLAKE2b-256 8af30777809b17ea305b202bc3bb66198529bdb4db60e7166f78aea166fd25ef

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win-amd64-py3.2.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win-amd64-py3.2.exe
Algorithm Hash digest
SHA256 175acf9ea90277be90d8e3a8d49ea5105369eee8b51c122eb38eda2af19f7eae
MD5 32c4f864e407271942246eada939721f
BLAKE2b-256 4637a4b505269acbad7e907f54cb0885b7377afd3228ed5b29dcfd689ac8abba

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win-amd64-py2.7.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win-amd64-py2.7.exe
Algorithm Hash digest
SHA256 b93419489abf345eb74321afdf5e497965a2d3a7a51df413157f45e8abe11243
MD5 072e6e7b5bf5e3b6b157cf99684fcbb6
BLAKE2b-256 e0f55992eba4e73a60c003debc2337551fdacc88474706c256d8df5498d10ae2

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win-amd64-py2.6.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win-amd64-py2.6.exe
Algorithm Hash digest
SHA256 2b025388a4b3f1148a9b867f4a77238b7844ced90bf8c2dcc74a719305b18164
MD5 61100fb73d866006a1f8b048978ff201
BLAKE2b-256 47e1c40245ab88f5f9eb8f0be8968beb65a0287b75cb7c3d311234ee3b731aba

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win32-py3.5.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win32-py3.5.exe
Algorithm Hash digest
SHA256 28f7b20320e9b3b6aed3898f0abec4357d19bc6b5b16f72713f44c68ed2d2aa0
MD5 a27251ef2e02b223c1b94b1559507948
BLAKE2b-256 6d122d41c22a28bc2fa0874598dcbd403dc3361a363dad936848a63fbd2e062a

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win32-py3.4.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win32-py3.4.exe
Algorithm Hash digest
SHA256 511d52f2e047e454254aa539c13817c7d0e9f67c2d7c4a06ec1be6dc68674bd3
MD5 3145caf9951c6ab988a8e0d3355ad4ce
BLAKE2b-256 c227cb40c9d039dfbc19814e7a76c276bc78b8affb83603aec0a2f1a318900a8

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win32-py3.3.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win32-py3.3.exe
Algorithm Hash digest
SHA256 3660c09676d4acd3a5bc4a7809e0ec63656dafd9e2a35eb82c6eae1c9c7abe9e
MD5 63879f18a815ad67238f68eba78a28d7
BLAKE2b-256 3241666c9810d3f05693ce3cb8c1ab2c0a931fe35e9237bee08b8d5b04b852d6

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win32-py3.2.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win32-py3.2.exe
Algorithm Hash digest
SHA256 fd27115ae44026446c3cde94fcccf13a8c9bd4433456667f70a8560c441e615e
MD5 4e137e41a4b1f3cb82393823fb1f88f3
BLAKE2b-256 8fd0e5b2f05346f2b75382241f00a5ddd32a5db9fd3b37f1f4f1951a8bbfbde2

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win32-py2.7.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win32-py2.7.exe
Algorithm Hash digest
SHA256 34d14876ceed416eda6f0bf70940636e09646af782de058481fb08d3fe6d678b
MD5 4c9fd3ee2376f8d4615c2607c66dd5bc
BLAKE2b-256 cb57408512c8ff0801119ca23f4dab1830013708cc23d707b6ff7dedbf30371a

See more details on using hashes here.

File details

Details for the file pymongo-3.2.win32-py2.6.exe.

File metadata

File hashes

Hashes for pymongo-3.2.win32-py2.6.exe
Algorithm Hash digest
SHA256 c91796a0f49b78a98d6701bc9fb7f692c4205d1f9f41a6ccc0233050705f61c3
MD5 365cfd03b0d070886d2b13cc54bd275d
BLAKE2b-256 6ace3368eece077e7ada1f53fc8827b5149764d3a9e2e3ff1414ef72370fb95b

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.5-win-amd64.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.5-win-amd64.egg
Algorithm Hash digest
SHA256 968e64f3bcd721f637b340f8ada5105f38eeeaf399d73d8f4f3f9b9f18fe9edd
MD5 9c9fcb6c359d555044216eb0c3f3276b
BLAKE2b-256 663d3dd2ea8e6dc1e2586c250e5a9035ea9f48fbb3e7a7b1d572f4aa689ae3e2

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.5-win32.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.5-win32.egg
Algorithm Hash digest
SHA256 7787968be081c35ef942a25457198f2f8cbf9a917176fa599761349e22cc01b3
MD5 fdc58ae5050f558532531d7252c02a9e
BLAKE2b-256 c0e602ea3da15962b517a9ccdc4e4c81416954094eddcd9047d5b059dd35c347

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.5-macosx-10.6-intel.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.5-macosx-10.6-intel.egg
Algorithm Hash digest
SHA256 2865f7c81a853e3abe70beeb6f5f7736138c13e77cb445522de505d73fd075c9
MD5 a6c0ba781bc739f209c695aae1b28ef9
BLAKE2b-256 03a0000d3202f353f18285d5a65aca4f625839daaa6245e2c5979a35e2f739bd

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.4-win-amd64.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.4-win-amd64.egg
Algorithm Hash digest
SHA256 6bf4f00ac636d6fd6d4c6ad05b6cc958de228af2ab09184ad54d24bb803535b1
MD5 2b3a2e22216d42d5315af51686f52fa7
BLAKE2b-256 057562ae8fe5f5c0913c6dfe7dab37c341a36802bbd574480fb5c191ec2f29fd

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.4-win32.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.4-win32.egg
Algorithm Hash digest
SHA256 658d3142699a21b7f7e5877595ba99f8b225bcc7ffc43637768f4d5229fb664c
MD5 7b04a98efbefd6b5934189bcf7f85037
BLAKE2b-256 6715d6a605fa3f145d8fc032262988810040546f9ce19ec1e3506e78ae06b879

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.4-macosx-10.6-intel.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.4-macosx-10.6-intel.egg
Algorithm Hash digest
SHA256 0299e984b677bbc99f63119c917e954e6d4899e77803fac82c39d164252f44fa
MD5 7117ecce98783c1a3cb7ff3e55f30998
BLAKE2b-256 805f8ae4fe89c45a44efc7f79f6da3148992b925dbc814fa79df1fccccb989a9

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.3-win-amd64.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.3-win-amd64.egg
Algorithm Hash digest
SHA256 86f55fbd8b8f153bbd5c39764459aeddf627387022bbcd0803b7938c40879520
MD5 048bc2d543fb5300287060e734b7c9a5
BLAKE2b-256 e5ea897f733aa2b8c00d2b0eeeeefb640839055e751509fffcee010cf4185918

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.3-win32.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.3-win32.egg
Algorithm Hash digest
SHA256 8dff525f0122620a67b73a1e0e1699e0eb7316280a7fd93fe4455c9a09095ae0
MD5 91d9800843971e66f8420be86aabc394
BLAKE2b-256 02eed71b2d4de2046e190f582b571b16e6fa1c6bfa81cb086168118282d4109c

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.3-macosx-10.6-x86_64.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.3-macosx-10.6-x86_64.egg
Algorithm Hash digest
SHA256 5482bd3030bb58dc3d5f3f3341cd79d2b21fe6a3b7f10665678f2acf2e6e9d98
MD5 10d13a679838dd27d259ca947bbc8f94
BLAKE2b-256 32695cc4940963de3b8fbba3d81a5e5e149fe97fa3d80068afde11d5d7f2f96b

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.2-win-amd64.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.2-win-amd64.egg
Algorithm Hash digest
SHA256 ab9fb7e607c945f192c4bc2ae82edae0a8e054f1437bbc0e4eb8f9a1d09c4fbb
MD5 c3435f1a2de09a240dbd8a1a13c1e892
BLAKE2b-256 ea00d9509d135d8ccb0ce18e523ba1135deb2d45972a6ea317f872f62e73acc5

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.2-win32.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.2-win32.egg
Algorithm Hash digest
SHA256 a0351df68ceca41d5003e3ebb2a205ecc8d97dc3a3352a505b7ec11daa4ec6b4
MD5 9bd4343356e051168155466322e4a6a1
BLAKE2b-256 e57cb88e564287b2db7357ce91ab7e6525e41323a6a37a4e15f84ff18e7d678f

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py3.2-macosx-10.6-x86_64.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py3.2-macosx-10.6-x86_64.egg
Algorithm Hash digest
SHA256 4fd042f81ee9417f91a76c14a6c7e386deb690d6445a2eece956cb761b56bd04
MD5 eed15a3d791416a051461486233c3ae9
BLAKE2b-256 fec93b89b01b929727451ed19438bad46170fadb681a2bba6fbc8cb65e6caaaa

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.7-win-amd64.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.7-win-amd64.egg
Algorithm Hash digest
SHA256 d1eaa858312ea226c422c34034d064948dc2212626466b20e14623def2e1becd
MD5 7cfcdea522d554ee7d8a2abaa9b3b34e
BLAKE2b-256 2119b3de5232a8a516f1297068c6667fb2f7a3eabe2c61644a3f652464edbb5c

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.7-win32.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.7-win32.egg
Algorithm Hash digest
SHA256 481d58f2c576da59687619955748eb645ca42f19bb48fb2ec72a4430385dcae9
MD5 d6b5536eff0732332c37432ba62c37a3
BLAKE2b-256 1b5a338b473af2958d6e3bb3240fbd8214ec391c482dce68f100c34565c66642

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.7-macosx-10.11-intel.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.7-macosx-10.11-intel.egg
Algorithm Hash digest
SHA256 dae0ed98ba85e05f833553ff697092954cd160b7214726639120414c2f174836
MD5 9c0864d1a23e068792be90b4b32efb10
BLAKE2b-256 bb925d29038a9f64718ad27cd7c55996fd2cd2136acfed436363e9bb4752d7e4

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.7-macosx-10.10-intel.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.7-macosx-10.10-intel.egg
Algorithm Hash digest
SHA256 9082a343ab8720f9e3b707d536a2ecd87dd13d93db497f380ace7e8562998f07
MD5 158a2ddb77ce79b22535dc844dc2d1bd
BLAKE2b-256 93a826e37f96f21be5805701e090f0a0545972e78b940d07f105476b1b3ce5c8

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.7-macosx-10.9-intel.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.7-macosx-10.9-intel.egg
Algorithm Hash digest
SHA256 a887244d7be2ade7e2fb3334d99dfeacf9e17cd745fce0d1b6ee3ad73a80ca2b
MD5 8cfe94289207f5d6318d3496eff65d69
BLAKE2b-256 c4bf14b73228cb84780f5126eaf2108282a3f4237a30d3a525ed51e150074fa6

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.7-macosx-10.8-intel.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.7-macosx-10.8-intel.egg
Algorithm Hash digest
SHA256 ec6c0a1bcf7828f8bfbcdf31d4702c4f6af5687e2842fd95fb4737a64715d984
MD5 9a859f17d583f88935a20bfebd517bc2
BLAKE2b-256 3fabbaf6ad471690b9326c2220df19d5cbca9925f8b13163a38c6e0e57d103c4

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.6-win-amd64.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.6-win-amd64.egg
Algorithm Hash digest
SHA256 e6923b32d8a8af70cd14397413b26ab43d082f10c41d8d953b05040796e8f450
MD5 0740308f4d340fb6348376a2b5d98834
BLAKE2b-256 c035797275a71d05609906373c5840f11bc9bb08ee0de8b5ae26f55222172858

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.6-win32.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.6-win32.egg
Algorithm Hash digest
SHA256 e5ff3272f698d2261667b4cc1f6c11a5d66b33bf56ef2f8e75912def34748dfc
MD5 914ea9d0a911dba02a08f6517c08abbe
BLAKE2b-256 43448bde1e6596410028ef0924a77d6da65f2f4e5cbe8266f1937527602a3894

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.6-macosx-10.11-intel.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.6-macosx-10.11-intel.egg
Algorithm Hash digest
SHA256 0bec8b6c8a4ec13c2e89126ac5e74c00d6bd9a1c7aba104e5985b14baeb21a68
MD5 517c86accae08995872f2f20d59acd74
BLAKE2b-256 c1c3f62932630002fd259e41f2a292f86ca06a0aac5d52c78007dfe4b92b0944

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.6-macosx-10.10-intel.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.6-macosx-10.10-intel.egg
Algorithm Hash digest
SHA256 bff1a9c92ba4bcef7398e1c9d06e746f6b1513af5b6e5ba2c78fea94f74499e6
MD5 a9decc3d6c267f2411b0f0f745b80edb
BLAKE2b-256 af35b8987d27306838df41845341a3a154d23c7db0a535aadf7991e18e3e4cf7

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.6-macosx-10.9-intel.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.6-macosx-10.9-intel.egg
Algorithm Hash digest
SHA256 1421c40962380c3da13d3f499c5911ef1ba10040e91d1e8929866ef8511eff5c
MD5 2d9b560c73e28bcac0965d11621be970
BLAKE2b-256 17eea09fd398b026cb237fe0a6c747136da81985f2bb81b433e3f3d3b1e300bb

See more details on using hashes here.

File details

Details for the file pymongo-3.2-py2.6-macosx-10.8-intel.egg.

File metadata

File hashes

Hashes for pymongo-3.2-py2.6-macosx-10.8-intel.egg
Algorithm Hash digest
SHA256 7048edf3d39ce543627b371c40c00ead94599ede44d1de4131df522df6d4310d
MD5 01fd54a225dd120d200a2de040d2da87
BLAKE2b-256 7bd28982060fe351b7073b55131374fbf3c17d8ab046a8af61ca603e1fed160e

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp35-none-win_amd64.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp35-none-win_amd64.whl
Algorithm Hash digest
SHA256 8311a1558308f5cf7b930cca74cabd89b0c699027259ff7920d8ac7f68998988
MD5 7a91402c03b4fcfd9532262bf5cc93fd
BLAKE2b-256 d3ca0fa0b528528d8b545ac1873c280e8059c76d20fd4c15d79c0f35dd36b637

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp35-none-win32.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp35-none-win32.whl
Algorithm Hash digest
SHA256 a106deb8d244b2519a8c803ad3aeb398f1d1775459e52b6c8af7649aaeaaec48
MD5 be56e0016267857167fc893e2439c3eb
BLAKE2b-256 835f8aec15a63bf44cbadb20595c23e17bc525b1526915fd7c85b8bf51892315

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp35-cp35m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp35-cp35m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 8729aa437df899b566b66e8d69f4aa7b4b18f5511673fc6d4fca6b17cab1ef57
MD5 df5202d62a8e199520fc3db460514413
BLAKE2b-256 faf55636f36c8f253ec90040912a0bc9eec584383dfffac6b85fe8abd1672766

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp34-none-win_amd64.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp34-none-win_amd64.whl
Algorithm Hash digest
SHA256 1b030258b32e8076dd09bd51cacdd6974379433254d52be63949211ac83e8bc0
MD5 5f306956ae28de191337939acfcbda30
BLAKE2b-256 2ad26f994a05c70c9716c98aad2002d6b5aaf0d45e5853f3837f359d3ec81cf7

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp34-none-win32.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp34-none-win32.whl
Algorithm Hash digest
SHA256 1cf837a49c1e6ea436dceddffd2c9551f909df2023f22d0cc311ff6d5afcbd34
MD5 9ab0119d4a0d4ec5a356016c2e034ef1
BLAKE2b-256 25c3c9d974aa1b2008bc6745e3535777eaa93f5e5c21d494b11560e737df3acc

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp34-cp34m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp34-cp34m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 6d448dcb3c83f1fcf6211f811c0f47ec85728b931bd76b04136b0cb3bedec750
MD5 ecddc6ea76c6eddf71bdcc8bd7e31e9e
BLAKE2b-256 dedf2d33ca744aad82786de0fc2dfdd4b349799328fda1cd7f6b61095fa06fbc

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp33-none-win_amd64.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp33-none-win_amd64.whl
Algorithm Hash digest
SHA256 77ddecb6956a84b95915b37736d4cbccc40eca4f23bc4a01ec1f69fc09c69d0b
MD5 80fe23e73126a50ff6d268d53b28b29a
BLAKE2b-256 9a958298fd3faa5602f1c963891db4e722fb3978d9896c82677bbd38fc9202b2

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp33-none-win32.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp33-none-win32.whl
Algorithm Hash digest
SHA256 2943217913055e6b8a0d3aaf421e55dad6376061f3e830088c41bf6c7d548046
MD5 5fe22eb7d24f99dd854703507320c522
BLAKE2b-256 785e3f6a302cdb5fe3ed12bdf788782529a1bcbeb1446914a248688b570a4f28

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp33-cp33m-macosx_10_6_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp33-cp33m-macosx_10_6_x86_64.whl
Algorithm Hash digest
SHA256 ffa76d081940e5c38fcc9b21e47aaf18c5367762ca5e268aef8bf0fcb4701616
MD5 23ca5b64ee8ce6c56140667385c3471d
BLAKE2b-256 631aa2255c024776cc4f51f270e1fe6ea569a8e2749d5142d4e0c480358649e1

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp32-none-win_amd64.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp32-none-win_amd64.whl
Algorithm Hash digest
SHA256 cae87ff5d8f496f4514c0e47f62981be0e8de7aea475017722110b3801548d7e
MD5 7b4cb9a3d106a6ad3990c003ade5571d
BLAKE2b-256 e52b6f4697dd0283732629544f48e9be869ea9cc3a91c57ef0f4f5caee6bdcc4

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp32-none-win32.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp32-none-win32.whl
Algorithm Hash digest
SHA256 25259bc1ee3ae3a2f54fdf869c21dc2b6b9819b516371886a63c8a6a8793e8fa
MD5 cfa326a360f4eb1de089c116ff2b90c9
BLAKE2b-256 dccf32412aeb9ac6295a8e0d5c969e962fc93d228eca377063776fa2bd4b3e30

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp32-cp32m-macosx_10_6_x86_64.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp32-cp32m-macosx_10_6_x86_64.whl
Algorithm Hash digest
SHA256 86b65e7f9a97db1f8e26fce0d12888afc2f100979f30d7ed2463ed9ddbb6e8b2
MD5 faa864f74daeab8608a94e383d948e79
BLAKE2b-256 bc912819979e2e3fd53c160deda716ca1cc693c2b28f67998c5bc1bea3f9564e

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp27-none-win_amd64.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp27-none-win_amd64.whl
Algorithm Hash digest
SHA256 fcdf9c717f37c4b894b904fd91cef0f4a5d5954ed1ec678723d7344536d4b64c
MD5 664b049d92f6f609d0c93df7c49608a7
BLAKE2b-256 46afd7b7e3716d5a766b842c4bb71e58a7c8931b56e4766a3d2cc124a4a605f9

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp27-none-win32.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp27-none-win32.whl
Algorithm Hash digest
SHA256 5fb3eaf56f942d14f10888cb338a88f6d47228c8a3e667283eaad41ee7ab2157
MD5 64d7fdb341716caeef480ee2747422b8
BLAKE2b-256 c5bbe66b34c6cf2f578ec281421a0392c643efb930550b9dce4562b30d12bc6d

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp27-none-macosx_10_11_intel.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp27-none-macosx_10_11_intel.whl
Algorithm Hash digest
SHA256 e87c162514f01140e9471d46528f642f4f011ff4c25b7b49bf07b86ecbe1a34f
MD5 f2fef75f3a22c0e3dae8ce18d1f5f34d
BLAKE2b-256 ecd3ea64d7017d8d0b3d39df67ad1a22bb61bcf4422d884627f9e229e361a1e9

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp27-none-macosx_10_10_intel.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp27-none-macosx_10_10_intel.whl
Algorithm Hash digest
SHA256 34eec18647894b23dfde42fbba423c5f7e5a5300069100900db7f793a0264792
MD5 a1d78721f1edc8f3c60b72a520b2e1b5
BLAKE2b-256 f00e72c047b54a27bd2420e2bc62cddb95b86b681fdc630be502454a809c3a61

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp27-none-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp27-none-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 5fcb76680b6a09b88e6cf64f63db0ec9b475cc3920c2f6d6b70f7a445063dcd1
MD5 ca252d99c4af52f2cf718800b3001f94
BLAKE2b-256 9f896a6bd7f958324d06532d461c65b4fc8d8fdd81b0ab260dfcd95d3b231ac3

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp27-none-macosx_10_8_intel.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp27-none-macosx_10_8_intel.whl
Algorithm Hash digest
SHA256 d3aa7df6d8fb5aca371b5bddb8d2d6003fb8631b0b118edd1ca49fd374018d4d
MD5 36a935f6433d94eb8925c52544c0889c
BLAKE2b-256 48730f71aabaae95f06f624e85245294eabd29a16cdbe780189ceac5f654c5e3

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp26-none-win_amd64.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp26-none-win_amd64.whl
Algorithm Hash digest
SHA256 a71d2c25409cee2b24e86fb509e3de5f3487d503105841d0f01a243e8c6d7c8c
MD5 f32159764a149ddcab77e6a933983922
BLAKE2b-256 83156898969b6ec2fbbc8bdf9bd93e49e5197ed92d0223ee502f36d3ac72a539

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp26-none-win32.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp26-none-win32.whl
Algorithm Hash digest
SHA256 d6a2a3032afd5125d4c23a7b4996bcea375b37d727b0c7e24aac492ce14e7720
MD5 83a59dd2dd56a89a364f0bd3bb57406f
BLAKE2b-256 d1bfbc25ee805a7992817a088312101e8b2333596ca526084f3859b819123487

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp26-none-macosx_10_11_intel.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp26-none-macosx_10_11_intel.whl
Algorithm Hash digest
SHA256 04393b36845a9caa4a3d23b315fb9c5675193b7fb586b7fc83be5ff5ab856f84
MD5 47afcb04088d20115831ea24b2cee1e9
BLAKE2b-256 8d47e730b4898406692c75ea1e96cb720df280aa44517a0534a2b7d74aa3f65a

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp26-none-macosx_10_10_intel.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp26-none-macosx_10_10_intel.whl
Algorithm Hash digest
SHA256 4cf021561375a0bebf6a547492a281afa6606eeaec25e760771801acd0d8a48b
MD5 5ca507619eccc097f28b31204fe3437f
BLAKE2b-256 2f10a0f5d6ebbfe496efb3fe24cdab9472e40e0bbd9e54b645aa5df38595868f

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp26-none-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp26-none-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 463663239d6715c02d3a2e858b4828704755aad392516b90d2d18e43a0521e5a
MD5 f1f11ef10372eec18791f3efece8f305
BLAKE2b-256 2ee7f4c28fbfa9fb86ea830bbd05a13bb4b981db89c60142de04c4415dfb1e3b

See more details on using hashes here.

File details

Details for the file pymongo-3.2-cp26-none-macosx_10_8_intel.whl.

File metadata

File hashes

Hashes for pymongo-3.2-cp26-none-macosx_10_8_intel.whl
Algorithm Hash digest
SHA256 5acc515f4874f92e79fc99b0bf8dd302ff4a85c1222930b1a6d8f9809d5a1511
MD5 cff16e3336a8cb2be774e497c4622857
BLAKE2b-256 ccd3fc3663b9daeb0f0d3b6b79a71315beaee45dd1cf6b8b9f5ff34412238dc7

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