Uploaded January 2020 | Updated September 2026, 2 weeks ago

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This video demonstrates how I started using MongoDB Atlas framework for handling NoSQL datasets in Python data science and data analytics algorithms.
This solutions let you easily transfer data from your local machine to cloud server (MongoDB cluster) by using Python or other programming language.

In this example you will better understand what is the difference between cluster, collection and database.

In this example I using real estate data (scrapped from zoopla.co.uk) and make following procedures:
- creating a MongoDB Free tier cluster.
- handshake and connect to MongoDB server.
- prepare data before load it to the cloud.
- search inside databases.
- load data to MongoDB server as dictionary (NoSQL format).
- create a new records for NoSQL database.
- inspect data in databases.
- update, delete records.

The content of the tutorial:
0:07 - Before coding. Prepare MongoDB Framework.

2:50 - Coding part 1: Connect to MongoDB with Python.
5:08 - Coding part 2. Load a local CSV data to MongoDB.
9:30 - Coding part 3. Queries in MongoDB with Python.
13:36 - Coding part 4. Other Data Manipulations in MongoDB with Python.
16:12 - MongoDB documentation. (docs.mongodb.com/manual)

Hoping this tutorial will be useful for Python programmers, data analysts, data scientist and everyone who's passion is data.
Wishes! - Vytautas.

#mongodbpython
#pythondatabases
#databaseswithpython