Build a URL Shortner App with Django

Learn to Master this Skill in One Hour
English
English [Auto]
web development
django
python
object storage
bootstrap
HTML
Web Design
forms

Requirements

  • basic python
  • basic html

Description

App Development is just a hot topic right now employment for developers sky rocketing. More employers are looking to find developers who have a good understanding of the backend and the front end. If you want to build your very own practical application to showcase then this course if for you.

In this course you will learn how to build a web app from scratch that will enable you to host your very own URL shortening service using Django and Python. In this course your will learn:


1) How to Install Django and its Dependencies

2) Django Setup and Migrations

3) Logic Code Walkthrough

4) Data Storage with SQLite3

5) Setup HTML and Forms with Bootstrap

6) Data Retrieval and Query Sets

7) Deployment and Demo


We will walk through each phase above step by step. Feel free to watch at your own pace and revert back to parts that you need to review again. Developing this app should help you refine your python skills, educate you on the Django framework, give you an intro to bootstrap and enable you to work with data. In the end you will have knowledge on how to setup Django, built a URL shortening service that you can deploy with your own domain.

Enjoy the course

Who this course is for:

  • beginner python developers
  • intermediate python developers
  • advanced python developers
  • beginner web developers
  • intermediate web developers
  • advanced python developers

Course content

8 sections8 lectures59m total length
  • Meet your Instructor
    01:41

Instructor

Data minded industry leader
Sats Sehgal
  • 4.5 Instructor Rating
  • 433 Reviews
  • 21,664 Students
  • 4 Courses

Hi there my name is Sats. I’m an experienced industry leader in the space of data management and analytics. I’ve held several executive roles both leading and mentoring people in the data space including data engineering, data science, automation and business intelligence. I've worked in several industries including retail, banking, telecommunications, and manufacturing so bring a broad and diverse perspective to real world problems that can be solved with coding.