Learn How Python Works with NoSql Database MongoDB: PyMongo

Learn How Python Works with NoSql Database MongoDB: PyMongo, available at $44.99, has an average rating of 3.15, with 76 lectures, based on 109 reviews, and has 728 subscribers.

You will learn about Installing and setting up the connectivity of Python with MongoDB Learn fundamental along with the basic concepts of Python Implementation of different Data Types of Python language. Get to know the installation of MongoDB and implementation of CRUD operations. Learn the various data modelling techniques, Indexing and Aggregation concept. Understand how to integration MongoDB with Python Learn connectivity of MongoDB database and collections using PyMongo tool Get to know the practical implementation of the tool by the Web-Application created by using the Django Web-Framework. This course is ideal for individuals who are This course is intended for developers who will be using Python to develop their applications and having MongoDB as the database for back-end processes, Software professionals, Analytic's Professionals, and Database administrators. It is particularly useful for This course is intended for developers who will be using Python to develop their applications and having MongoDB as the database for back-end processes, Software professionals, Analytic's Professionals, and Database administrators.

Enroll now: Learn How Python Works with NoSql Database MongoDB: PyMongo

Summary

Title: Learn How Python Works with NoSql Database MongoDB: PyMongo

Price: $44.99

Average Rating: 3.15

Number of Lectures: 76

Number of Published Lectures: 76

Number of Curriculum Items: 76

Number of Published Curriculum Objects: 76

Original Price: ₹3,299

Quality Status: approved

Status: Live

What You Will Learn

Installing and setting up the connectivity of Python with MongoDB
Learn fundamental along with the basic concepts of Python
Implementation of different Data Types of Python language.
Get to know the installation of MongoDB and implementation of CRUD operations.
Learn the various data modelling techniques, Indexing and Aggregation concept.
Understand how to integration MongoDB with Python
Learn connectivity of MongoDB database and collections using PyMongo tool
Get to know the practical implementation of the tool by the Web-Application created by using the Django Web-Framework.

Who Should Attend

This course is intended for developers who will be using Python to develop their applications and having MongoDB as the database for back-end processes, Software professionals, Analytic's Professionals, and Database administrators.

Target Audiences

This course is intended for developers who will be using Python to develop their applications and having MongoDB as the database for back-end processes, Software professionals, Analytic's Professionals, and Database administrators.

PyMongo online Tutorial Course provides knowledge about Python and MongoDB with its integration using PyMongo tool.
Students, at the end of this training, will be technically competent in the basics and the fundamental concepts of Python such as Loops, Functions, Classes and Exceptions. As well as you will learn the basics of MongoDB along with the concepts of Data Modelling, Indexing and Aggregation, so that you can easily learn their integrated implementation with PyMongo. And finally in the tenth section a web-application will be created, using Python’s web-framework-Django.
This course contains lectures as videos. Additional Exercise files and Assignments are attached with the last section of the course for your self practice. Various scripts and data for hands-on implementation has also been attached in order to provide you with more help to learn the course.
This course is convenient for all those individuals who want to use the ease of Python along with the big data handling capability of MongoDB in order to develop their applications and will help them in Software Development Practice. So it is useful for those who want to begin Software and Website Development with comfort and ease of use.

Course Curriculum

Chapter 1: Introduction to the Course

Lecture 1: Introduction to PyMongo

Lecture 2: Pre-requisites

Lecture 3: What You will Learn?

Chapter 2: Introduction to Python

Lecture 1: Introduction to Python

Lecture 2: Advantages of Python and Program Execution

Lecture 3: Variables and Assignments

Lecture 4: Data Types

Lecture 5: Data Types: Numbers and Strings Part-1

Lecture 6: Data Types: Numbers and Strings Part-2

Lecture 7: Data Types: List and Dictionary Part-1

Lecture 8: Data Types: List and Dictionary Part-2

Lecture 9: Data Types: Tuples and Sets Part-1

Lecture 10: Data Types: Tuples and Sets Part-2

Chapter 3: Files, Conditionals, Loops and Functions

Lecture 1: Files

Lecture 2: Types of Input

Lecture 3: Conditionals

Lecture 4: Loops – while loop

Lecture 5: Loops – for loop

Lecture 6: Functions

Lecture 7: Scope of Variables

Lecture 8: Arguments

Chapter 4: Classes and Exceptions

Lecture 1: What is a Class?

Lecture 2: Inheritance

Lecture 3: Modules

Lecture 4: Polymorphism

Lecture 5: Operator Overloading

Lecture 6: Exceptions

Chapter 5: Introduction to MongoDB

Lecture 1: Introduction to MongoDB

Lecture 2: JSON and Features

Lecture 3: Getting Started with MongoDB

Lecture 4: Databases

Lecture 5: Collections

Lecture 6: Documents

Lecture 7: Data Types in MongoDB

Lecture 8: CRUD Introduction

Lecture 9: Database Operations

Chapter 6: CRUD Operations and Data Modeling

Lecture 1: CRUD Concept

Lecture 2: CRUD Operations Part1

Lecture 3: CRUD Operations Part 2

Lecture 4: Query Operations

Lecture 5: Data Modeling

Lecture 6: Model Relationship between Documents

Lecture 7: Model Tree Structures

Chapter 7: Indexing and Aggregation

Lecture 1: Introduction to Indexes

Lecture 2: Types of Indexes: Part 1

Lecture 3: Types of Indexes: Part 2

Lecture 4: Types of Indexes: Part 3

Lecture 5: Types of Indexes: Part 4

Lecture 6: Indexes Properties

Lecture 7: Creating Indexes

Lecture 8: Capped Collection

Lecture 9: Aggregation introduction

Lecture 10: Aggregation Operations

Chapter 8: Introduction to PyMongo

Lecture 1: Getting Started with PyMongo

Lecture 2: Basic Operations in PyMongo: Part 1

Lecture 3: Basic Operations in PyMongo: Part 2

Lecture 4: Basic Operations in PyMongo: Part 3

Lecture 5: Basic Operations in PyMongo: Part 4

Chapter 9: Common PyMongo and Python Patterns

Lecture 1: Common PyMongo and Python Patterns

Lecture 2: Using Indexes in PyMongo : 1

Lecture 3: Using Indexes in PyMongo : 2

Lecture 4: Upserts in PyMongo

Lecture 5: Atomic Operations in Pymongo

Lecture 6: Bulk-Write Operations in PyMongo

Lecture 7: GridFs in PyMongo

Chapter 10: PyMongo With Web Frameworks

Lecture 1: Introduction to Django

Lecture 2: Integration of Django and MongoDB using PyMongo

Lecture 3: Web-Application using Django and MongoDB

Chapter 11: Assignments and Quiz

Lecture 1: Assignment : Introduction to Python

Lecture 2: Assignment : Files, Conditionals, Loops and functions

Lecture 3: Assignment : Classes and Exceptions

Lecture 4: Assignment : Introduction to MongoDB

Lecture 5: Assignment and Scripts : CRUD Operations and Data Modeling

Lecture 6: Assignment and Scripts : Indexing and Aggregation

Lecture 7: Assignment and Installation Guide : Introduction to PyMongo

Lecture 8: Assignment : Common PyMongo and Python Patterns

Instructors

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Rating Distribution

1 stars: 19 votes
2 stars: 13 votes
3 stars: 16 votes
4 stars: 35 votes
5 stars: 26 votes

Frequently Asked Questions

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