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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. Â
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 NoSQLÂ database is, and how to use one? Â 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. Â
- 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. Â 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 and Implementing a Simple REST API
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1
Downloading and Installing VirtualBox and UbuntuIn this Lecture, we'll be downloading and installing virtual box as well as Ubuntu, and installing it to set up the environment
-
2
Installing Flask and Running a Hello World Program
In this lecture, we will be installing flask framework, as well as writing and running a simple Hello World application to verify installation
-
3
Understanding the Web Cycle For Development
In this lecture, we'll understand the basic workflow and cycle for web development
-
4
Revisiting Hello World Program And Explaining GETs
In this lecture, we will be revisiting the hello world program from the last video, and explaining it further
-
5
JSON, Examples of JSON, and JSON in Flask
In this lecture, we will explain what JSON is, and we will show several examples of JSON, and how to utilize JSON in flask
-
6
GET and POST Requests + Response Structure
In this lecture, we'll explain what the HTTP1.1 Structure of GET and POST requests should be like
-
7
Downloading and Installing Postman
In this lecture, we will download and install Postman, a tool used to test the POST handlers in Flask
-
8
Handling POST Requests in Flask and Building a Mini API
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
Docker
-
9
What is a RESTful API.
In this lecture, we will explain what is a Restful API
-
10
Restful API Resource Method Chart
In this lecture, we will explain what is a Resource Method Chart and how it helps us in desigining APIs
-
11
Project 1, Building Restful API Part 1
In this lecture, we will be building an API that supports several functionalities
-
12
Project 1, Building Restful API Part 2
In this lecture, we will be building an API that supports several functionalities
MongoDB
-
13
What is Docker and Why Use it.
In this lecture, we will explain what is docker and docker-compose and why they are used
-
14
Note on Docker Installation
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15
Downloading and Installing Docker and Docker-Compose
In this lecture, we will be explaining how to install docker and docker-compose on the Virtual machine
-
16
Dockerizing our First Application
In this lecture, we will dockerize the API that we developed in a previous videos
Project: Database as a Service Restful API
-
17
What is a Database and MongoDB
In this lecture, we will introduce the concept of a database and NOSQL MongoDB database
-
18
MongoDB Introduction
In this lecture, we will introduce MongoDB services
-
19
Note on MongoDB installation
-
20
Installing MongoDB on the Ubuntu Virtual Machine
In this lecture, we will explain how to install MongoDB on the virtual machine
-
21
Creating and Deleting Databases
In this lecture, we will explain how to create and delete databases in MongoDB
-
22
Creating and Deleting Collections in MongoDB
In this lecture, we will explain how to create and delete a collection in MongoDB
-
23
Query Documents in MongoDB
In this lecture, we will explain how to query documents in a collection in MongoDB to search for different documents
-
24
Updating and Sorting and Limiting Documents in MongoDB
In thislecture, we will learn how to update and sort and limit documents when using the find function
-
25
Note on API to keep track of Number of Users
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26
Building a Simple Application to Keep Track of Number of Users
In this lecture, we will build a simple API that keeps track of how many users visit out website
Project: Building a Restful API for Similarity Check using Natural Language Proc
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27
Chart Protocol for New API Part 1
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
-
28
Note on Sentences API
-
29
Building the Sentences API Part 2
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
-
30
Building the Sentences API Part 3
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 an Image Recognition Restful API using Tensorflow and Deeplear
-
31
Building a Similarity API Part 1
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
-
32
Building a Similarity API Docker-compose Structure Part 2
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
-
33
Building a Similarity API Registration Part 3
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
-
34
Building a Similarity API Detection of Similarity Part 4
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
-
35
Building a Similarity API Refilling Part 5
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
-
36
Important: Similarity API Updated Source Code
-
37
Building a Similarity API Testing the API Part 6
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 a Restful API to handle Bank Transactions
-
38
Building an Image Classification API Part 1
-
39
Building an Image Classification API, Project folders Part 2
-
40
Building an Image Classification API, Registration Part 3
-
41
Building an Image Classification API, Classification Function Part 4
-
42
Building an Image Classification API, refill functionality Part 5
-
43
Building an Image Classification API Testing Part 6
Deploying Restful API into AWS EC2 Instance
-
44
Building a Bank API, Part 1
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
-
45
Building a Bank API, Part 2
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
-
46
Building a Bank API, Part 3
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
-
47
Building a Bank API, Part 4
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
[ARCHIVED]: Project: Building an Image Recognition Restful API using Tensorflow
Extra Information - Source code, and other stuff
-
49
Building an Image Classification API Part 1
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
-
50
Building an Image Classification API, Project folders Part 2
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
-
51
Building an Image Classification API, Registration Part 3
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
-
52
Building an Image Classification API, Classification Function Part 4
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
-
53
Important: Image Classification API Updated Source Code
-
54
Building an Image Classification API, refill functionality Part 5
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
-
55
Building an Image Classification API Testing Part 6
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
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course Includes:
- Price:$79.99$14
- Instructor:admin
- Duration:12 total hours
- Lessons:1
- Students:18996
- Certifications:No
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