Course Outline

Introduction
    Differences between MongoDB and MySQL, PostgreSQL, etc.

Setting up MongoDB

Overview of MongoDB Features and Architecture

  • Mapping between a relational database and MongoDB
  • Indexing, replication, load balancing, ad hoc querying, etc.

Connecting to MongoDB

Starting a Python + MongoDB application

Understanding the MongoDB Data Processing Pipeline

Reading and Writing to the database

Creating a New Database

Securing your Python Application

Understanding Availability in MongoDB

Scaling Your Application

  • On-premise or public cloud

Troubleshooting MongoDB

Summary and Conclusion

Requirements

  • An understanding of MongoDB's document model 
  • Python programming experience

Audience:
Developers

  14 Hours
 

Testimonials

Related Courses

Scaling Data Analysis with Python and Dask

  14 hours

Data Analysis with Python, Pandas, and Numpy

  14 hours

Accelerating Python Pandas Workflows with Modin

  14 hours

Machine Learning with Python and Pandas

  14 hours

FARM (FastAPI, React, and MongoDB) Full Stack Development

  14 hours

Developing APIs with Python and FastAPI

  14 hours

Web application development with Flask

  14 hours

Advanced Flask

  14 hours

Build REST APIs with Python and Flask

  14 hours

Kivy: Building Android Apps with Python

  7 hours

Game Development with PyGame

  7 hours

GUI Programming with Python and PyQt

  21 hours

Scientific Computing with Python SciPy

  7 hours

GUI Programming with Python and Tkinter

  14 hours

Web Development with Web2Py

  28 hours