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Python Flask for Beginners - Urdu / Hindi

Learn Flask framework by building an application with CRUD functionalities, authentication and database.

     
  • 3.5
  •  |
  • Reviews ( 42 )
₹799

This Course Includes

  • iconudemy
  • icon3.5 (42 reviews )
  • icon2.5 total hours
  • iconenglish
  • iconOnline - Self Paced
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  • iconUdemy

About Python Flask for Beginners - Urdu / Hindi

Overview

In this course we will learn how to work on Python's Flask framework. We will build an application in Flask from scratch.

We will build a blog application with CRUD (create, read, update and delete) functionalities with user authentication and database. We will use SQLite database for development and when we are ready to deploy our application on Heroku, we will switch to PostgreSQL database. We will start from absolute scratch and will end up building a blog application with flask framework. Every lesson contain source code upto that lesson so if you find yourself stuck at some point, just download the source code and compare your code with it. By the end of this course you will be able to build projects with flask framework.

The course content is delivered in Urdu language so you must understand Urdu / Hindi language to take this course.

What you will learn

Flask framework

Render templates with Jinja2 template engine

Handling authentication with Flask-Login package

Encrypting plain text password with Flask-Bcrypt

Working with forms with Flask WTForms

Handling database queries with Flask-SQLAlchemy

Deployment to Heroku

Prerequisites

If you have basic knowledge of Python which is required for this course and wants to learn Flask framework then by the end of this course you will be able to build applications with Flask framework.

What You Will Learn?

  • Flask framework.
  • Render templates with Jinja2 template engine.
  • Handling authentication with Flask-Login package.
  • Encrypting plain text password with Flask-Bcrypt.
  • Working with forms with Flask WTForms.
  • Handling database queries with Flask-SQLAlchemy.
  • Deployment to Heroku.