Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps

Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps
Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps
English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 10.5 Hours | 5.03 GB

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

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 Instance

You’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 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
Table of Contents

Understanding the Basics of the Python Flask Framework and its Workflow
1 Downloading and Installing VirtualBox and Ubuntu
2 Installing Flask and Running a Hello World Program
3 Understanding the Web Cycle For Development
4 Revisiting Hello World Program And Explaining GETs
5 JSON, Examples of JSON, and JSON in Flask
6 GET and POST Requests + Response Structure
7 Downloading and Installing Postman
8 Handling POST Requests in Flask and Building a Mini API

Understanding and Implementing a Simple REST API
9 What is a RESTful API.
10 Restful API Resource Method Chart
11 Project 1, Building Restful API Part 1
12 Project 1, Building Restful API Part 2

Docker
13 What is Docker and Why Use it.
14 Downloading and Installing Docker and Docker-Compose
15 Dockerizing our First Application

MongoDB
16 What is a Database and MongoDB
17 MongoDB Introduction
18 Installing MongoDB on the Ubuntu Virtual Machine
19 Creating and Deleting Databases
20 Creating and Deleting Collections in MongoDB
21 Query Documents in MongoDB
22 Updating and Sorting and Limiting Documents in MongoDB
23 Building a Simple Application to Keep Track of Number of Users

Project Database as a Service Restful API
24 Chart Protocol for New API Part 1
25 Building the Sentences API Part 2
26 Building the Sentences API Part 3

Project Building a Restful API for Similarity Check using Natural Language Proc
27 Building a Similarity API Part 1
28 Building a Similarity API Docker-compose Structure Part 2
29 Building a Similarity API Registration Part 3
30 Building a Similarity API Detection of Similarity Part 4
31 Building a Similarity API Refilling Part 5
32 Building a Similarity API Testing the API Part 6

Project Building an Image Recognition Restful API using Tensorflow and Deeplear
33 Building an Image Classification API Part 1
34 Building an Image Classification API, Project folders Part 2
35 Building an Image Classification API, Registration Part 3
36 Building an Image Classification API, Classification Function Part 4
37 Building an Image Classification API, refill functionality Part 5
38 Building an Image Classification API Testing Part 6

Project Building a Restful API to handle Bank Transactions
39 Building a Bank API, Part 1
40 Building a Bank API, Part 2
41 Building a Bank API, Part 3
42 Building a Bank API, Part 4

Deploying Restful API into AWS EC2 Instance
43 Deploying

Bonus Material
44 Bonus – Please Watch!
45 Check out Our Other 36 Udemy Courses!
46 Source Codes