REST APIs with Flask and Python Training Objectives
- The two most popular frameworks for Python, Django and Flask, take incredibly different approaches to web development. Django, the older of the two frameworks, is often called a “batteries included” framework, meaning that it contains just about everything you need to launch a full featured application in no time flat. Flask, on the other hand, is a highly extensible “micro-framework” that launches with a bare minimum set of features, but has a thriving plugin ecosystem which allows developers to only include the functionality that they need to succeed.
- The goal of this article is to show you how to use Python 3, Flask, and Connexion to build useful REST APIs that can include input and output validation , and provide Swagger documentation as a bonus. Also included is a simple but useful single page web application that demonstrates using the API with JavaScript and updating the DOM with it.
- Certainly Yes. Even the recruiters know the knowledge we get in colleges is not enough to do a software job. They will see how confident you are. However they will train you according to their requirement once you get into the company.
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- Client-Server: There should be a separation between the server that offers a service, and the client that consumes it.
- Stateless: Each request from a client must contain all the information required by the server to carry out the request.
- The only knowledge explicitly assumed for this lesson is the ability to use a text editor, such as BBEdit on macOS or Notepad++ on Windows. However, knowledge of the command line, Python, and web concepts such as HTTP may make this tutorial easier to follow. If you’re new to Python, consider working through the Programming Historian series on dealing with online sources to familiarize yourself with fundamental concepts in Python programming.
- Create resource-based, production-ready RESTAPIs using Python, Flask, and popular Flask extensions; Handle secure user registration and authentication with Flask. Understand the complex intricacies of deployments and the performance of Flask RESTAPIs.
- Python Flask and Node JS Express have been the best frameworks and languages to developing a RESTful API for any web-based applications.
- REST API (Representational state transfer) is an API that uses HTTP requests for communication with web services. It must comply with certain constraints. Here are some of them: Client-server architecture – the client is responsible for the user interface, and the server is responsible for the backend and data storage.
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- Create resource-based
- production-ready REST APIs
- Flask and popular extensions
- Deploying Flask apps to our own server
- store resources
- Deploying Flask apps to Heroku, REST APIs
- Flask-RESTful, Flask-SQLAlchemy
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REST APIs with Flask and Python Course Curriculam
Trainers Profile
Trainers are certified professionals with 7+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from REST APIs with Flask and Python Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Syllabus of REST APIs with Flask and Python Online Course Download syllabus
- 1. Access the code for this section
- 2. Variables in Python
- 3. Variables
- 4. Solution to coding exercise
- 5. Variable
- 6. String formatting in Python
- 7. Getting user input
- 8. Writing our first Python app
- 9. Lists, tuples, and sets
- 10. Advanced set operations
- 11. Lists, tuples, and sets
- 12. Solution to coding exercise: Lists, tuples, sets
- 13. Booleans in Python
- 14. If statements
- 15. The 'in' keyword in Python
- 16. If statements with the 'in' keyword
- 17. Loops in Python
- 18. Flow control—loops and ifs
- 19. Solution to coding exercise: Flow control
- 20. List comprehensions in Python
- 21. Dictionaries
- 22. Destructuring variables
- 23. Functions in Python
- 24. Function arguments and parameters
- 25. Default parameter values
- 26. Functions returning values
- 27. Functions
- 28. Solution to coding exercise: Functions
- 29. Lambda functions in Python
- 30. Dictionary comprehensions
- 31. Dictionaries and students
- 32. Solution to coding exercise: Dictionaries
- 33. Unpacking arguments
- 34. Unpacking keyword arguments
- 35. Object-Oriented Programming in Python
- 36. Magic methods: str and repr
- 37. Classes and objects
- 38. Solution to coding exercise: Classes and objects
- 39. classmethod and staticmethod
- 40. classmethod and staticmethod
- 41. Solution to coding exercise: classmethod and staticmethod
- 42. Class inheritance
- 43. Class composition
- 44. Type hinting in Python 3.5+
- 45. Imports in Python
- 46. Relative imports in Python
- 47. Errors in Python
- 48. Custom error classes
- 49. First-class functions
- 50. Simple decorators in Python
- 51. The 'at' syntax for decorators
- 52. Decorating functions with parameters
- 53. Decorators with parameters
- 54. Mutability in Python
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- 1. Installing Flask
- 2. Access the code for this section here
- 3. Your first Flask application
- 4. HTTP Verbs
- 5. REST Principles
- 6. Creating our application endpoints
- 7. Returning a list of stores
- 8. Implementing other endpoints
- 9. Calling the API from JavaScript
- 10. Using Postman for API testing
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- 1. Virtualenvs and setting up Flask-RESTful
- 2. Access the code for this section here
- 3. Test-first API design—what is that?
- 4. Creating our Item Resource
- 5. The ItemList and creating Items
- 6. Improving code and error control
- 7. Authentication and logging in part 1
- 8. Authentication and logging in part 2
- 9. DELETE to delete Items
- 10. PUT to create or update Items
- 11. Advanced request parsing with Flask-RESTful
- 12. Optimising our final code and request parsing
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- 1. Setting up our project
- 2. Access the code for this section here
- 3. Running a SQLite database and interacting with it from Python
- 4.Logging in and retrieving Users from a database
- 5. Signing up and writing Users to a database
- 6. Preventing duplicate usernames when signing users up
- 7. Retrieving our Item resources from a database
- 8. Writing our Item resources to a database
- 9. Deleting our Item resources from the database
- 10. Refactoring insertion of items
- 11. The PUT method with database interaction
- 12. Retrieving many items from the database
- 13.Advanced Flask-JWT Configuration
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- 1. Access the code for this section here
- 2. Setting up this section's project
- 3. Improving the project structure and maintainability
- 4. Creating User and Item models
- 5. Verifying the app works after our changes
- 6. Advanced Postman: environments and tests
- 7. Errata: small mistake in code in the next video
- 8. Telling SQLAlchemy about our tables and columns
- 9. Implementing the ItemModel using SQLAlchemy
- 10. Implementing the UserModel using SQLAlchemy
- 11. Easily displaying the ItemList resource with SQLAlchemy
- 12. No more creating tables manually—telling SQLAlchemy to create tables
- 13. Creating a new model: StoreModel
- 14. Creating the Store Resource
- 15. Final testing of this section's API
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- 1. Installing Git on Mac and Windows
- 2. What is a Git repository?
- 3. The Git workflow—part 1
- 4. The Git workflow—part 2, including GitHub
- 5. Using SSH keys for security
- 6. The README file
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- 1. What is Heroku?
- 2. Getting our code into GitHub
- 3. Setting up Heroku for Flask
- 4. Adding the required files to the project
- 5. Logs in Heroku and troubleshooting errors
- 6. Testing the deployed API with Postman
- 7. Adding PostgreSQL to our Heroku app
- 8. Working with Git and automatic deploys
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- 1. Setting up a DigitalOcean server
- 2. Want to deploy to AWS?
- 3. Installing PostgreSQL in Ubuntu
- 4. Creating a UNIX user in Ubuntu
- 5. Setting up our new user with PostgreSQL permissions
- 6. Setting up nginx and our REST API
- 7. Setting up uWSGI to run our REST API
- 8. Testing our API to make sure everything works
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- 1. Welcome to this section
- 2. Security in REST APIs e-book
- 3. Getting our domain name
- 4. Setting up Cloudflare
- 5. What is DNS?
- 6. Setting our DNS records
- 7. Verifying everything works—this is important!
- 8. Creating our SSL certificate in Cloudflare
- 9. Configuring nginx for SSL
- 10. Security in REST APIs
- 11. Extra technical SSL resources
- 12. Conclusion of this section
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- 1. A recap of the code + a few changes!
- 2. Creating a User Resource for testing
- 3. Testing our new Resource with Postman
- 4. Logging in with Flask-JWT-Extended
- 5. Testing the login with Postman
- 6. Adding JWT Claims
- 7. Getting the JWT identity in and endpoint and @jwt_optional
- 8. What is a fresh token?
- 9. Performing token refresh in our REST API
- 10. Requiring a fresh token in an endpoint
- 11. Customizing Flask-JWT-Extended callbacks and responses
- 12. Blacklisting with Flask-JWT-Extended
- 13. Logging users out in our REST API
- 14. E-book: complete review of the API so far
- 15. Flask-JWT-Extended further reading
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- 1. Introduction
- 2. Installation
- 3. DB Connection
- 4. Creating DB Table
- 5. INSERT, READ, UPDATE, DELETE operations
- 6. COMMIT & ROLLBACK operation
- 7. handling Errors
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Exam & Certification
At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training.
Online Classroom:
- Participate and Complete One batch of REST APIs with Flask and Python Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the REST APIs with Flask and Python Certification course
- Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your REST APIs with Flask and Python Training course. It helps you to prepare for the actual REST APIs with Flask and Python Certification exam. You can try this free REST APIs with Flask and Python Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s REST APIs with Flask and Python Certification Path.
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for REST APIs with Flask and Python Developers.

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Learning REST APIs with Flask and Python can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in REST APIs with Flask and Python. Mastering REST APIs with Flask and Python can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average REST APIs with Flask and Python Developer salary in India is ₹4,43,568 per annum.
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