One Week Python

A Quick and Effective Way To Learn Python, Made For Busy People

Don't waste your time with 60+ hour behemoth courses that you never finish!  Instead, try this quick and effective pathway to Python that was designed with your sanity in mind.   This course is the perfect first step into the world of data science, web dev, machine learning, or any other discipline that requires Python knowledge.

As an-person coding bootcamp instructor, I created this course to keep you engaged the entire way through.  It's full of exercises, quizzes, challenges, and projects.  The slides, diagrams, and cheatsheets were painstakingly designed to help you visualize the tricky concepts.  There are no 20-minute monster videos in this course; the average video is only 4 minutes long.  Everything about this course has been designed to make it actually completable!

This course covers all the Python essentials you need: everything from variables to data structures to object oriented programming and modules. You’ll fill up your Python toolbox so you can go on and tackle libraries like pandas, flask, scikitlearn, django, and more.

What this course is not:  This course is not a complete guide to every single possible feature in the Python language.  It focuses on the 80% that is absolutely critical and worth your time, but there are other (much longer) courses that are more akin to Python textbooks that take the time to cover every feature.  In fact, I created one of those courses, and it happens to be 40 hours long! 

As someone who has both created and purchased massive Udemy mega bootcamp courses, I know they are still the standard format on the platform, but maybe it’s time for something a bit more human and engaging. I thought it was worth a try at least.

Here's a detailed breakdown of what we cover:

• Painless installation for all platforms and users

• Working with numbers

• Python variables

• Strings and string methods

• Booleans

• Conditional Logic

• Boolean Logic

• Loops

• Functions

• Scope

• Lists

• Dictionaries

• Sets

• Tuples

• *args and **kwargs

• Working with errors

• Custom modules

• 3rd party modules

• PIP

• Object Oriented Programming

• Classes