Learn API Development with FASTAPI Framework and Python

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Haider Malik

5:39:37

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1. Python Setup

1. Install Python.mp4

03:20

2. Built in Data Types

1.1 02-built-in-data-types.zip

1. Numbers.mp4

02:57

2. Float and Boolean.mp4

02:15

3. Lists.mp4

11:19

4. Tuples.mp4

02:21

5. Dictionaries.mp4

02:23

6. Sets.mp4

01:10

7.1 02-built-in-data-types.zip

7. File Objects.mp4

03:42

3. Control Structure

1.1 control-structure-pro.zip

1. If elif and else.mp4

02:30

2. While Loop.mp4

00:57

3. Foor Loop.mp4

01:38

4. Defining Function.mp4

01:27

5. Exception.mp4

04:08

6. Creating Module.mp4

01:10

7.1 control-structure-pro.zip

7. Classes.mp4

03:06

4. More Basics

1. Indentation.mp4

01:08

2. Getting Input from User.mp4

01:19

5. List and Sets

1.1 lists.zip

1. More Methods in List.mp4

06:45

2. List Sorting.mp4

03:32

3. List Concatenation.mp4

04:01

4. Count.mp4

00:21

5. Set and Frozenset.mp4

03:35

6. Strings

1.1 strings.zip

1. Strings.mp4

07:15

2. More Methods on Strings.mp4

07:15

3. Boolean Expression.mp4

01:18

7. Functions

1. Python Functions.mp4

11:26

8. Modules

1. Creating Custom Modules.mp4

03:28

9. Reading and Writing to File

1. Reading and Writing to File.mp4

06:48

10. Exception Handling

1. Exception Handling.mp4

06:08

11. Classes and Objects

1.1 classess-and-objects-pro.zip

1. Create a class.mp4

06:51

2. Relationship between classes.mp4

05:10

3. Inheritance.mp4

08:04

12. Decorators

1.1 decorators-pro.zip

1. Decorators.mp4

09:08

13. AsyncAwait

1.1 async-pro.zip

1. Async Await.mp4

13:14

14. Validations with Pydantic

1.1 01-python-types-pro.zip

1. Types in Python.mp4

14:24

2.1 02-pydantic-pro.zip

2. Validations with Pydantic.mp4

08:39

15. Python Packages and Modules

1.1 python-packages-pro.zip

1. Python Packages and Modules.mp4

09:42

16. Getting started with FAST API Framework

1. 01-Introduction to API.mp4

05:33

2. What is Virtual Environment in Python.mp4

02:08

3.1 Creating Venv Source Code.html

3. Creating venv.mp4

01:38

4. Configure venv.mp4

01:14

5.1 Create Server Source Code 02-create-server branch.html

5. Server Setup.mp4

04:42

6.1 Source Code.html

6. Path Parameters.mp4

08:42

17. Path Parameters

1.1 Source Code.html

1. Order does matter when you define route.mp4

03:56

2.1 Source Code.html

2. Predefined Values.mp4

08:46

18. Query Parameters and Request Body

1.1 Source Code.html

1. Query Parameters.mp4

10:14

2.1 Source Code.html

2. Request Body.mp4

08:28

19. CRUD API

1.1 Source Code.html

1. Routing Setup with APIRouter.mp4

08:49

2.1 Source Code.html

2. Post Endpoint.mp4

04:50

3.1 Source Code.html

3. Delete Endpoint.mp4

06:49

4.1 Source Code.html

4. Update Endpoint.mp4

05:37

5.1 Source Code.html

5. Adding Return type with response model.mp4

09:26

6.1 Source Code.html

6. Handling Errors in API.mp4

02:26

20. CRUD with Postgres Database

1. Restructure the Application.mp4

06:38

2. Connected FAST API to Postgres DB using SQLALCHEMY.mp4

15:55

3. Create a Model.mp4

10:02

4. Create Dependency.mp4

03:29

5. Create Record in DB using POST Route.mp4

15:15

6. Fetch all Records from DB using GET Route.mp4

03:11

7. Get Single Record from DB in Get Route.mp4

02:36

8. Delete Record with Delete Route.mp4

01:42

9. Update Record from DB with PUT Route.mp4

03:37

Description

Step by Step guide to build REST APIs with FASTAPI, Postgres, and SQLAlchemy

What You'll Learn?

Built in Types in Python
Control Structure
Lists and Sets
Strings and Functions
Modules & Packages
Exception Handling
Reading and Writing to File
Classes and Objects
Decorators
Async/Await
Validations using Pydantic
FAST API Routing
FAST API CRUD
FAST API CRUD with Database
SQLALCHEMY
Relationship
Models and Schema

Who is this for?

Python developers curious about REST APIs development

Python developers who want to learn FAST API Framework

Python developers who want to learn new framework for build web apis

Python developers are interested in building REST APIs with FAST API framework

What You Need to Know?

Basic knowledge of any programming language

More details

Description
Python has become one of the most popular programming languages in recent years. It's used in everything from machine learning to building websites and software testing.
Python is often used to develop the back end of a website or applicationâ€”the parts that a user doesnâ€™t see.
Python can be utilized for various applications such as scripting, developing, and testing. Because of its elegance and simplicity, Dropbox, Google, Quora, Hewlett-Packard, and so many other top tech companies have already implemented Python
For the last 4 years the share of developers who use Python as their primary language remained at the pretty same level of 84-85%.
45% of Python developers use Python to do Web Development
Flask, Django, and FastAPI are still the top-3 Python web frameworks
FastAPI, initially released at the end of 2018, shows the fastest growth, having grown by 9 percentage points compared to the previous year
SQLAlchemy is the most popular ORM among all database users.
What you will learn?
Python setup
Built in Data Types
Control Structure
List
Tuples
Set
Functions
Modules
Packages
Exception Handling
Classes and Objects
Decorators
Async/Await
Validations with Pydantic
FastApi setup
Creating Virtual Environment
Server Setup
Path Parameters
Query Params
Request Body
CRUD (Create, Read, Update and Delete)
Routing
SQLAlchemy
CRUDÂ withÂ Postgres and SqlAlchemy
Relations
Who this course is for:
Python developers curious about REST APIs development
Python developers who want to learn FAST API Framework
Python developers who want to learn new framework for build web apis
Python developers are interested in building REST APIs with FAST API framework

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Haider Malik is the founder of Grow Business Revenue. He is a full-stack developer and business owner. He is running his own IT service based Agency He has full team of developers. He is passionate about everything JavaScript, and he loves exploring new libraries.He’s had extensive experience developing software and working with teams to improve how software is developed to meet business objectives.Although his primary focus is on outcomes, implementation often includes technical competency

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