100 Days of Web in Python

Course Summary

#100DaysOfWeb in Python is a course that will ensure your success with the 100 days of code challenge, all while teaching you Python web development.

With every 4 days dedicated to a different concept, you’ll be amazed at how many Python Web technologies and libraries you’ll learn on this journey. Join the course and start your 100 day challenge now.

100 Days of Web in Python

Course Summary

#100DaysOfWeb in Python is a course that will ensure your success with the 100 days of code challenge, all while teaching you Python web development.

With every 4 days dedicated to a different concept, you’ll be amazed at how many Python Web technologies and libraries you’ll learn on this journey.

Join the course and start your 100 day challenge now.

What’s this course about and how is it different?

100 days of code isn’t just about the time commitment.

The true power is in utilising that time effectively with a tailored set of projects.

That’s why we have 24 practical projects, each paired with 20-60 minute video lessons at the beginning of the project.

Just a small sampling of the projects you’ll work on include:

Create your very own Static Site

Use API Star and pytest to make and test an API
An introduction to the Flask framework
Learn Javascript by making a calculator and calorie counter
SQLAlchemy Database creation
Use Docker to containerize your applications
Build a Bill Tracking web tool with Pyramid
Use React to build Javascript user interfaces
Selenium testing of numerous web functions
Django app creation with registration and login functionality
Web Scraping with BeautifulSoup4 and newspaper3k
And 17 more projects!
View the full course outline.

Who is this course for?

This course is for anyone who knows the basics of Python and wants to push themselves into the world of Python Web Development for 100 days with hands-on projects.

We don’t start from absolute zero in terms of programming but if you are new to Python we have a language appendix and we start somewhat slow.

By the end of the course, we get into intermediate-level Python projects.