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PyMongo is a free Python driver developed for MongoDB, the NoSQL database platform. This distribution comes packed with the necessary tools for communicating with a MondoDB database from Python: bson, pymongo, and gridfs. It can be used to improve the development process.
Specifically made for Python, bson relies on the Binary JSON format, which is used for storing JSON-like documents and performing network transfers in MongoDB. pymongo represents a native Python driver for MongoDB, while gridfs is an implementation of GridFSa, a tool that stores files in two collections: chunks (with binary chunks) and files (with file metadata).
There are multiple editions of this driver available, depending on which Python version you have installed. Aside from this programming language, it doesn’t have any other pre-requisites.
On the other hand, it works hand in hand with backports.pbkdf2 (enhances authentication for SCRAM-SHA-1), pykerberos (necessary for GSSAPI authentication), Monotime (mononotic clock for workspaces with frequent clock adjustments), wincertstore (SSL server verification using CA certificates from Windows on older Python versions), and certifi (Mozilla CA bundle for SSL server verification).
You can check out help documentation online with details on how to install or upgrade this distribution, tutorials, examples, API docs, a developer’s guide, and other important details.

 

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This is a detailed PyMongo description.
Software:
* bson
* pymongo
* gridfs
* pycrypto
* docs
* swig
Licensing:
All rights are reserved. No part of this program may be
referenced, distributed, or copied under any circumstances
without the prior written consent of the author.
Supported Hardware:
This driver has been tested on Ubuntu 12.04 (amd64) and other Linux variants.
Authors:
* me: Fernando Torres Cami
* Steve Dower: who is a Googler:
Source Code:
A full source code is available on GitHub (
Stable Releases (0.0.0):
branch name
‘stable’
Description:
This is a stable release series.
Supported Hardware:
This driver has been tested on Ubuntu 12.04 (amd64) and other Linux variants.
Authors:
* Fernando Torres Cami, the developer
Limitations:
Ports of operation:
Ubuntu 12.04 64-bit
Network Operational Environment:
Oracle VirtualBox (tested in Ubuntu 12.04)
Supported Platforms:
Ubuntu 12.04 (amd64)
Relevant Links:
Download the driver:
Python libraries:
Description for developers:
How to install:
Unpack the archive:
mkdir -p ~/pymongo/pymongo_src
cd ~/pymongo/pymongo_src
unzip pymongo.zip
Now you can test that python is able to import pymongo from the pymongo directory:
python > import pymongo
python>
If this was successful, you are done. If not, have a look at the log file to find out why.
Example client program:
# This is the minimum sample
from pymongo import Connection
db = Connection(HOST, PORT)
# Insert

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===============
This section covers some of the main features provided by PyMongo.
It’s important to keep in mind that PyMongo is not a stand-alone Python module. You need to install the basic Python development environment first (we’ll cover that separately), and then use the Python installation’s pip utility to download PyMongo from the Python Package Index (PyPI).
Why this step? Python was invented and developed by Guido van Rossum, and he’s a Pythonista. However, support for PyMongo seems to be the most useful and underrated piece of Python infrastructure. It’s the de facto standard for all Python drivers for NoSQL.
As you can see, it gives Python a native MongoDB driver, which means that you can store data in MongoDB with native Python objects. This is especially useful, because you’re able to use your favourite Python tool to create those data structures.
There are a few drawbacks of course: setup is not as simple as with other drivers, and you need to install a fully functional Python module. The first one is mainly an issue of computer architecture. As you see in my screen-shot, you have to install another version of Python for this to work. If you’re familiar with the language, it’s not that big of an issue, but it’s something to keep in mind.
Another thing to take into account is that you can’t use Python 3.4 or 3.5 for this distribution. This is because the latest version of MongoDB doesn’t work with 3.4 or 3.5. 3.6 works, and 3.6 comes bundled with PyMongo, so you don’t have to install it separately.
Setting Up PyMongo:
=================
Requirements:
Firstly, you need to install Python, which can be done in multiple ways. This guide will use pip3 to install this distribution. It’s mainly for those of you who have Python 3.3 or later, because Python 3.2 and earlier don’t have it.
You must also have the latest version of pip3 to install PyMongo. They’re both available at the official website.
Make sure you follow the installation instructions included with this distribution. It will require you to download some files and open some windows. Don’t panic, everything will be OK in the end.
Installation:
===========
Install the bson, pymongo, gridfs, and certifi modules
You can download
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PyMongo is a free, 100% open-source Python driver for MongoDB.
Its code is available under the permissive 3-clause BSD license, and is hosted by
MongoDB, Inc. and the non-profit organization, the MongoDB Developers Group.
Contributed by Bart Campbell (bjc)
MongoDB is an open source non-relational database that consists of a document store for JSON data. It supports incremental query/update/delete and uses a unique search engine that integrates a subset of the functionality of Lucene.
Installation:
First, you must download and install the PyMongo module from either the project repository or via pip:
pip install pymongo
If you use either pypi or pip, you will be prompted for permission to install the module. Use your terminal type command “y” to indicate yes and install:
pip install -U pymongo
After it has been successfully installed you will want to make sure that it is
initialized:
pymongo.initialize_local()
Additionally, if you need to edit the configuration you will need to
create a configuration file. This file holds any user defined information
on your db. you can create this file with:
pymongo.write_default_config()
This command will create the “config.py” file with the defualt settings, but
you can write your own. To read more about writing your own
configuration, check out “Pymongo Configuration Docs”.
Next, you will need to create a database using either pymongo.Database or pymongo.Collection
pymongo.database()
pymongo.collection()
You can use these classes to interact with a collection, you can use
pymongo.Collection().find()
Or just use pymongo.database().find()
In addition to these classes, you can use the pymongo module to query
and interact with your collections using the bson modules, that in
turn translate data between the Binary JSON format of MongoDB and the
Python BSON format.
pymongo.BSON = bson
Pymongo has a lot of tools to work with and a lot of great support.
To perform an insert using the PyMongo bson.BinData type:
C:Usersyour_machine

What’s New in the?

A Python driver for the MongoDB document-oriented NoSQL database that uses BSON and enables Python users to communicate with a MongoDB database from their applications using Python.
PyMongo – Features:
API Documentation
Over 25,000 lines of ready-to-use functions and classes for connecting and manipulating documents, and querying for metadata information about the documents
Simple and Native Python Style with Strong Support for Python 2.6 and 3.x
Use a local database to speed up client-side processing by storing temporary collections without storing data in MongoDB
Python code sharing of driver’s functions and methods with other pymongo drivers
MongoDB The NoSQL Database:
MongoDB is a database management system for storing documents. These documents are used to describe and organize structured data. More than 170,000 programmers have adopted MongoDB with the promise that it is the “most document-oriented” database. Other database management systems often store data in tables, rows, and columns as a means of organizing records. They each use a different syntax to describe the same data and express the same concepts (tables, rows, columns) that can be used interchangeably.
MongoDB offers a different approach: It stores data as documents in a document-oriented format. The documents themselves do not define how they should look like; instead, they define what they should store. They have a set of fields and no defined structure.
MongoDB documents store data and provide a flexible schema. The schema is defined by the user. This approach means that a user can define the structure of the document, but still have any format. This flexibility provides a number of benefits:
Easily extended: The user can define a document and add new fields without having to rewrite the entire format of the document
Flexible documents: Because the document does not define the structure, the user can update existing documents without having to rewrite them. This is particularly useful when data is dynamic
Schemaless documents: Because the user does not need to pre-determine the structure of the documents, the user does not need to write a schema definition file for the documents.
Anonymous documents: The user can define the structure without knowing what fields the document will contain. By using this technique, the user can create documents of any length and still define the structure of the document
MongoDB Schema Design:

System Requirements:

-Requires Radeon RX 580 or GeForce GTX 1060 graphics card, or equivalent.
-Requires at least 2.2 GHz CPU
-Windows 10 or later
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