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įor more information on MongoDB features and tools, have a look at our comprehensive guide- Best MongoDB Tools in 2022: Tools & Data Engineer Must Know.

If you would like to learn about CRUD Operations in MongoDB using C#, we have a separate blog piece here- Get Started with CRUD Operations in MongoDB using C#: 3 Easy Steps. In this guide, we’ll be covering MongoDB CRUD operations in Python using the Python driver- PyMongo. If you’re looking for a viable database where you can store data in flexible, JSON-like documents, you can’t go wrong with MongoDB. MongoDB offers official driver support for programming languages such as C, C++, C#, Go, Java, Node.js, Perl, PHP, Python, Motor, Ruby, Scala, Swift, and Mongoid. prefer it for efficiently handling and storing their exponentially growing data. Organizations such as Facebook, Nokia, eBay, Adobe, Google, etc.

Introduced in February 2009, the MongoDB database is designed, maintained, and managed by MongoDB.Inc under SSPL(Server Side Public License). The collections consist of several documents containing the basic units of data in terms of key and value pairs. Compared to conventional relational databases, MongoDB makes use of collections and documents instead of tables consisting of rows and columns. MongoDB is a NoSQL open-source, document-oriented database developed for storing and processing high volumes of data. What is MongoDB? Image Source: 1000 Logos

Using MongoDB CRUD Operations in Python.

Setting Up MongoDB CRUD Operations in Python.

How to Perform MongoDB CRUD Operations in Python?.

Prerequisites for Setting Up MongoDB CRUD Operations in Python.

By the end of this guide, you will understand the fundamentals of how data moves across MongoDB and Python applications. The aim of this guide is to teach you how to perform the CRUD operations in MongoDB. The recommended MongoDB driver for Python is PyMongo. The communication channel is established by a driver when performing MongoDB CRUD operations in Python. Typically, a database driver connects an application with a database program. Since NoSQL databases can scale horizontally, they are suitable for real-time and big data applications. The JSON-like documents provide a flexible and dynamic schema while maintaining simplicity, unlike relational databases that use tabular relationships. MongoDB database is a NoSQL, general-purpose program that uses JSON-like documents to store its data.