Course

Intermediate Python

In this course, you’ll dive deeper into the world of Python, tailored for development. Master intermediate Python concepts like object-oriented programming, decorators, and regular expressions. By the end, you’ll have enhanced your development toolkit, ensuring cleaner code and better user experiences.

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Part of the Python Fundamentals for Web Development, and Gen AI (Python) paths.

4.8 (359 reviews)

1,173 learners enrolled in this course.

Beginner friendly
7 hours
Self paced
5 lessons
1 project

“The learning paths on Dataquest are incredible. They give you a direction through the learning process – you don’t have to guess what to learn next.”

Otávio Silveira

Data Analyst @ Hortifruti

Intermediate Python

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Course overview

This course focuses on intermediate Python skills needed for development and working with AI.
Throughout the course, you’ll dive into object-oriented programming tailored for applications, grasp the fundamentals of decorators, and harness the power of regular expressions. Elevate the functionality and efficiency of your projects, and confidently tackle user input errors and typical programming challenges.
Most importantly, you’ll learn by doing – practicing and receiving feedback directly in the browser. By the end, you’ll be better equipped to take on advanced web development tasks with Python.

Key skills

Use object-oriented programming (OOP)
Create and use decorators
Write regular expressions (regex)
Incorporate error handling for user input validation

Course outline

Intermediate Python [5 lessons]

Basic Object Oriented Programming in Python 1h

Lesson Objectives

Define object-oriented programming
Define classes, instances, attributes, and methods
Create your own class

Intermediate Object Oriented Programming 2h

Lesson Objectives

Understand the concepts of inheritance, polymorphism, and encapsulation
Customize subclass attributes and use the super() function to override inherited methods
Apply polymorphism to design parent class and subclass methods that can take multiple forms
Implement private methods, getters, and setters to protect and manage object state in Python classes

Decorators 2h

Lesson Objectives

Understand and implement decorators
Use "syntactic sugar" to decorate functions
Apply *args and **kwargs to functions and wrappers
Use the functools library to preserve function information when decorating functions

Introduction to Regular Expressions and Error Handling 2h

Lesson Objectives

Recognize the role of regular expressions in programming
Write simple regex patterns
Raise and handle errors and exceptions
Use the Python `re` library

Guided Project: Garden Simulator Text Based Game 1h

Lesson Objectives

Create custom classes that interact with each other
Implement error handling to account for user input
Practice debugging a program

Projects in this course

Garden Simulator Text Based Game

For this project, you’ll step into the role of a Python game developer to create an interactive text-based “Garden Simulator” using object-oriented programming, error handling, and randomness.

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Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”