Python Rest Apis With Flask, Docker, Mongodb, And Aws Devops - Printable Version

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Python Rest Apis With Flask, Docker, Mongodb, And Aws Devops - AD-TEAM - 09-20-2025

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Python Rest Apis With Flask, Docker, Mongodb, And Aws Devops
Last updated 5/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.22 GB | Duration: 10h 28m

Learn Python coding with RESTful API's using the Flask framework. Understand how to use MongoDB, Docker and Tensor flow.

What you'll learn
Have a deeper knowledge and understanding of core elements of web development using Python
Understand and be able to use the flask framework
Plan, build, setup and deploy a RESTful API to an Amazon EC2 instance
Make use of a NoSQL (MongoDB) Database
Build a machine-learning API using Tensorflow for image recognition
Requirements
Basic knowledge of the Python programming language
Enthusiasm and a willingness to take your Python skills to the next level
Description
So you know a bit of Python and want to learn about RESTful API's and other cool technologies like Flask, Docker, MongoDB to name just a few?
Or maybe you just want to add web development Python skills to your resume.
Whatever the reason is, you have landed on the right page if you have an interest in taking your Python skills to the next level.
Why use Python for web development?
Coding in Python is simple, and a student with no prior knowledge can easily understand a line of code and its use - this means with only the basics, you can comfortably write a complete program.
Python has a great number of frameworks and tools to get you up and going fast with web development.
It's a great match - a powerful language with a great range of tools that you can put to use quickly.
Why choose this course?
You will be able to learn and understand how to design and implement RESTful API's via the Flask framework.Ever wanted to know what a NoSQL database is, and how to use one? You'll learn how to do that as well, using Python.And what is Docker, and what does it mean to "dockerize" your apps? Yep, you guessed it, you will learn that as well in this course. You'll even learn how to build a machine learning API using TensorFlow for image recognition.Another hot topic is DevOps, and you will learn about that and go through the process of deploying a RESTful API on an Amazon EC2 instance.In short, this course is designed to take your basic Python skills and take you to the next level in the shortest period of time.
What topics are covered in this course?
Understanding the Basics of the Python Flask Framework
Understanding and Implementing a REST API
Docker
MongoDB
Project: Database as a Service Restful API
Project: Building a Restful API for similarity check using Natural Language Processing
Project: Building an Image Recognition Restful API using Tensorflow and Deep Learning
Project: Building a Restful API to Handle Bank Transactions
Deploying Restful API into an AWS EC2 InstanceYou'll come away with a firm understanding of how all the pieces work individually, and more importantly how they fit together.
This really is an all in one course to get you up to speed with these topics, fast.
What skills do you need?
The ideal student would be someone with a basic knowledge of Python who is eager to improve their skills. That's it!Ready to start?If you're ready to start the course, then click the enroll button to get started. We look forward to seeing you on the inside.o

Overview

Section 1: Understanding the Basics of the Python Flask Framework and its Workflow

Lecture 1 Downloading and Installing VirtualBox and Ubuntu

Lecture 2 Installing Flask and Running a Hello World Program

Lecture 3 Understanding the Web Cycle For Development

Lecture 4 Revisiting Hello World Program And Explaining GETs

Lecture 5 JSON, Examples of JSON, and JSON in Flask

Lecture 6 GET and POST Requests + Response Structure

Lecture 7 Downloading and Installing Postman

Lecture 8 Handling POST Requests in Flask and Building a Mini API

Section 2: Understanding and Implementing a Simple REST API

Lecture 9 What is a RESTful API.

Lecture 10 Restful API Resource Method Chart

Lecture 11 Project 1, Building Restful API Part 1

Lecture 12 Project 1, Building Restful API Part 2

Section 3: Docker

Lecture 13 What is Docker and Why Use it.

Lecture 14 Note on Docker Installation

Lecture 15 Downloading and Installing Docker and Docker-Compose

Lecture 16 Dockerizing our First Application

Section 4: MongoDB

Lecture 17 What is a Database and MongoDB

Lecture 18 MongoDB Introduction

Lecture 19 Note on MongoDB installation

Lecture 20 Installing MongoDB on the Ubuntu Virtual Machine

Lecture 21 Creating and Deleting Databases

Lecture 22 Creating and Deleting Collections in MongoDB

Lecture 23 Query Documents in MongoDB

Lecture 24 Updating and Sorting and Limiting Documents in MongoDB

Lecture 25 Note on API to keep track of Number of Users

Lecture 26 Building a Simple Application to Keep Track of Number of Users

Section 5: Project: Database as a Service Restful API

Lecture 27 Chart Protocol for New API Part 1

Lecture 28 Note on Sentences API

Lecture 29 Building the Sentences API Part 2

Lecture 30 Building the Sentences API Part 3

Section 6: Project: Building a Restful API for Similarity Check using Natural Language Proc

Lecture 31 Building a Similarity API Part 1

Lecture 32 Building a Similarity API Docker-compose Structure Part 2

Lecture 33 Building a Similarity API Registration Part 3

Lecture 34 Building a Similarity API Detection of Similarity Part 4

Lecture 35 Building a Similarity API Refilling Part 5

Lecture 36 Important: Similarity API Updated Source Code

Lecture 37 Building a Similarity API Testing the API Part 6

Section 7: Project: Building an Image Recognition Restful API using Tensorflow and Deeplear

Lecture 38 Building an Image Classification API Part 1

Lecture 39 Building an Image Classification API, Project folders Part 2

Lecture 40 Building an Image Classification API, Registration Part 3

Lecture 41 Building an Image Classification API, Classification Function Part 4

Lecture 42 Important: Image Classification API Updated Source Code

Lecture 43 Building an Image Classification API, refill functionality Part 5

Lecture 44 Building an Image Classification API Testing Part 6

Section 8: Project: Building a Restful API to handle Bank Transactions

Lecture 45 Building a Bank API, Part 1

Lecture 46 Building a Bank API, Part 2

Lecture 47 Building a Bank API, Part 3

Lecture 48 Building a Bank API, Part 4

Section 9: Deploying Restful API into AWS EC2 Instance

Lecture 49 Deploying

Section 10: Extra Information - Source code, and other stuff

Lecture 50 Source Codes

Lecture 51 Bonus Lecture and Information

This course is suitable for those with basic skills, who wish to learn about Python web development,This course is ideal for those who wish to learn more about RESTful API's,Anyone with an interest in database,DevOps, MongoDb and more

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