Published 7/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.16 GB | Duration: 4h 4m
The main aim of this course is to provide a wide understanding of how to integrate MongoDB with Python
What you’ll learn
This PyMongo Training starts from teaching the way of installation, to teach about variables and data types in Python.
We would also look at concepts on functions and their use.
we also learn about strings, loops, lists, packages, modules, dictionaries, decorators, and many more such intricate concepts
This PyMongo training aims to develop skills in you so that a niche skill of programming in PyMongo
Requirements
We don’t read aloud the word “prerequisite” in our courses, as we start everything from scratch and try to reach the advanced level within the same bundle. But yes, some prerequisites are good to have if you want to have an easier grasp of the concepts taught and they are: Understanding database concepts is a plus point. Understanding of programming language such as Python
Description
As the word, PyMongo suggests that it is built up of 2 different words and that is Python and Mongo DB. This module helps developers to seamlessly integrate Python and Mongo DB. Now let us take some time to do a deep dive into individually understanding Python and MongoDB. To start, Python is a high-level general programming language, which was aimed to be used as a programing language for nearly all use cases and has the potential to enhance the code readability, due to its usage of extensive whitespaces. The approach of object-oriented and super language constructions makes it the go-to programming language for any type of use cases ranging from data analytics to API development and many such more.Now coming to what Mongo is. Mongo is a database program that was built with the intent of it being cross-platform. Hence you would see a lot of programming language which has the integration functionality with Mongo DB. This program is classified as a NoSQL, essentially meaning a non-relational database. Now a question might strike, that if it is non-relational, then how elements are represented in Mongo. For this, the answer is that mongo Db uses Json like structures with a schema.Constant efforts are been put in so that our learners can access top-notch resources from top-notch faculties at just a click of a mouse. We always handhold our learners till they learn about intricate concepts and empower themselves to tackle any nut, even if it’s the toughest nut to crack. This confidence is the foremost skill that we would learn as a part of this course. Needless to say, post completion of the course you would be filled with extensive PyMongo knowledge you would be making yourself eligible for higher monetary pay through the skills you would showcase in your organization.We would not only go through detailed programming techniques but also teach you efficient coding techniques which are vastly used and accepted in the genre of software development. This course will also build you up with skills that will make you develop newer methodologies in the PyMongo tool and its use cases. Lastly, some skills are by and far applicable for any of our courses in a common platform that would also apply in this course.
Overview
Section 1: PyMongo Training: Beginner Level
Lecture 1 Introduction to Course
Lecture 2 Introduction to Course Continue
Lecture 3 MongoDB Installation
Lecture 4 PyMongo Installation
Lecture 5 MongoDB Connection
Lecture 6 DB-Collection Creation
Lecture 7 CRUD Operations
Lecture 8 Create Data
Lecture 9 Update Data
Lecture 10 Delete Data
Lecture 11 Read Data
Lecture 12 Read Data Implementation Part 1
Lecture 13 Read Data Implementation Part 2
Lecture 14 Read Data Implementation Part 3
Lecture 15 Conclusion
Section 2: PyMongo Training: Expert Level
Lecture 16 Introduction to Course
Lecture 17 Project Objective
Lecture 18 Skill
Lecture 19 Concepts
Lecture 20 Sample Data
Lecture 21 Load Sample Data
Lecture 22 Sorting Data
Lecture 23 Sorting Data Continue
Lecture 24 Cursor
Lecture 25 Cursor Continue
Lecture 26 Limit and Skip
Lecture 27 Count
Lecture 28 Index
Lecture 29 Data to DF
Lecture 30 Aggregation
Lecture 31 Aggregation Continue
Lecture 32 Recap
The courses are built in such a way at EduCBA that we focus our audience to a wide audience who wants to increase their depth of knowledge. For people who have their courses in universities, this PyMongo Training would act as the only reference material they would want to refer to. This training is a sufficient tool to help you ace your course in PyMongo. For people who wants to scale themselves up in their career can use this training to build a bridge on the gap currently existing. This also acts as a refresher for anyone who has been working in this area for quite a long time and would want to go through some latest and some forgotten about concepts.
Homepage
https://www.udemy.com/course/pymongo-for-developers/
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