Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps
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 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
Understanding the Basics of the Python Flask Framework and its Workflow
In this Lecture, we'll be downloading and installing virtual box as well as Ubuntu, and installing it to set up the environment
In this lecture, we will be installing flask framework, as well as writing and running a simple Hello World application to verify installation
In this lecture, we'll understand the basic workflow and cycle for web development
In this lecture, we will be revisiting the hello world program from the last video, and explaining it further
In this lecture, we will explain what JSON is, and we will show several examples of JSON, and how to utilize JSON in flask
In this lecture, we'll explain what the HTTP1.1 Structure of GET and POST requests should be like
In this lecture, we will download and install Postman, a tool used to test the POST handlers in Flask
In this lecture, we will show how to handle POST requests in flask, and how to utilize it to build a mini API to add two numbers
Understanding and Implementing a Simple REST API
In this lecture, we will explain what is a Restful API
In this lecture, we will explain what is a Resource Method Chart and how it helps us in desigining APIs
In this lecture, we will be building an API that supports several functionalities
In this lecture, we will be building an API that supports several functionalities
Docker
In this lecture, we will explain what is docker and docker-compose and why they are used
In this lecture, we will be explaining how to install docker and docker-compose on the Virtual machine
In this lecture, we will dockerize the API that we developed in a previous videos
MongoDB
In this lecture, we will introduce the concept of a database and NOSQL MongoDB database
In this lecture, we will introduce MongoDB services
In this lecture, we will explain how to install MongoDB on the virtual machine
In this lecture, we will explain how to create and delete databases in MongoDB
In this lecture, we will explain how to create and delete a collection in MongoDB
In this lecture, we will explain how to query documents in a collection in MongoDB to search for different documents
In thislecture, we will learn how to update and sort and limit documents when using the find function
In this lecture, we will build a simple API that keeps track of how many users visit out website
Project: Database as a Service Restful API
In this lecture, we will build an API that acts as a Database as a service and stores sentences that the user wants to save in exchange for paying some tokens
In this lecture, we will build an API that acts as a Database as a service and stores sentences that the user wants to save in exchange for paying some tokens
In this lecture, we will build an API that acts as a Database as a service and stores sentences that the user wants to save in exchange for paying some tokens
Project: Building a Restful API for Similarity Check using Natural Language Proc
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
In this lecture, we will build an API that checks the similarity of two documents using a pretrained natural language processing model called vec2vec using the library space
Project: Building an Image Recognition Restful API using Tensorflow and Deeplear
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
In this lecture, we will build an API that does image recognition to see what's inside the image. The API will use tensorflow and a pretrained model that is based on deep learning to classify what an image is and how confident it is of this prediction. For example, the API is given a url to a panda image, and it predicts that this image has a panda inside of it
Project: Building a Restful API to handle Bank Transactions
In this lecture, we will build an API that supports several banking services such as registering an account, adding some money to your account, transfering some money from one account to another, checking the balance of an account, taking a loan, and repaying a loan to the bank
In this lecture, we will build an API that supports several banking services such as registering an account, adding some money to your account, transfering some money from one account to another, checking the balance of an account, taking a loan, and repaying a loan to the bank
In this lecture, we will build an API that supports several banking services such as registering an account, adding some money to your account, transfering some money from one account to another, checking the balance of an account, taking a loan, and repaying a loan to the bank
In this lecture, we will build an API that supports several banking services such as registering an account, adding some money to your account, transfering some money from one account to another, checking the balance of an account, taking a loan, and repaying a loan to the bank
Deploying Restful API into AWS EC2 Instance
In this lecture, we will deploy one of the APIs we built into AWS EC2 Instance
Bonus Material
