
This course includes our updated coding exercises so you can practice your skills as you learn.
See a demo
Install Python 3 from the official website and add Python to the environment path. Install PyCharm or another IDE and verify the setup by running Python in the command line.
Explore Python virtual environments as isolated project sandboxes with per-project packages. Create with Python -m venv, activate via the env's activate script, and use pip to install per-project packages.
Explore Python dictionaries as key-value pairs, create them with braces or dict(), access values by keys, and note that keys must be in quotes.
Explore sets in Python, learn how sets ensure unique items, lack indexing, and support operations like add, remove, pop, union, intersection, difference, and clear.
Use a while loop in Python to replace a for loop by initializing a counter to build a column name list, then input names until q and print the database.
Explore Python's match statement as a cleaner alternative to long if-else chains, using case blocks, a default underscore, and the pipe to group cases for weekday and weekend logic.
Explore list comprehension in Python as a concise alternative to for loops, including strip cleansing, dictionary comprehension of birth years, flattening matrices, and conditional filtering.
Explore defining and calling Python functions with def and colon, pass positional and keyword-based arguments, use variadic *args, and apply functional patterns with return values and snake_case naming.
Explore type hints in Python to enforce variable and function contracts, annotate lists and dictionaries, and use optional and union to handle multiple return types.
Learn object oriented programming in Python by building a car class as a blueprint, creating objects with name, model, and year, and using methods and __str__ for readable prints.
Explore encapsulation in Python by hiding internal class details, using protected and private members, and controlling access with getters and setters via the property decorator.
Master asynchronous programming in Python to run coroutines in parallel with async and await, avoiding unnecessary waiting when fetching data from servers.
Compare Flask and Django to guide Python developers on choosing a web framework; use Flask for beginner-friendly APIs and small apps, and Django for large-scale projects like e-commerce and CMS.
Learn to convert separate Flask apps into a single modular application using blueprints, define the main and another blueprint, and register them in app.py for inter-route communication.
Learn how dynamic routing uses the URL path after the main domain to pass a username as a route parameter, shaping output based on user input.
Master Jinja syntax to conditionally render pages, loop through lists, and apply filters like capitalize and length for dynamic content.
Create reusable components such as the navbar and footer with Jinja includes. Extend a layout template with blocks to render pages like home and about in a Flask app.
Refactor the navbar into a dynamic mini ecommerce header that redirects to the home page and conditionally shows logout with the username or login and register options based on session.
Welcome to Python for Web Developers!
We put this together specifically for web developers so you’ll skip the absolute beginner stuff and dive straight into the concepts that actually matter for building real-world apps.
In just 8 hours, you’ll go from zero to building real Python projects:
4 hours mastering Python (through exercises, not just theory)
4 hours building full web apps with Flask — complete with on-device machine learning for intelligent search and personalized recommendations.
Every concept you learn is paired with a hands-on project.
You’ll build:
A mini database system to understand Python fundamentals
A full e-commerce web app
Machine learning features that make your web apps smarter like product recommendation and semantic search.
And it’s not just watch-and-forget, every video comes with exercise files so you can code along, test ideas, and actually feel your progress.
You’ll explore both core and advanced Python topics, including:
Python syntax and data types
Object-Oriented Programming
File handling
Generators and Decorators
Working with APIs
Flask essentials like routing, templates, and databases
Integrating machine learning into your web app
By the end, you’ll be confident building your own projects whether you’re a freelancer, startup founder, software engineer, or just a curious developer looking to add Python to your toolkit.
So take a look at the sections and challenges waiting inside and if you’re ready to learn Python the developer way, we’ll see you in the course!