Python On-Demand: Advanced Python 3 Programming Course Outline
Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.
***Note: This is an On-Demand, Self-Study Class, 3 days of content, 6-months unlimited access, $495***
(Applicable State and Local taxes may be added for On-Demand purchases, depending on your location.)
You may take this course at any time, there are no set dates. This On-Demand (self-study) training course includes expert lectures, demonstrations and lab exercises that cover the same content that is included in our instructor-led (ILT) class. Note: The 6-month course access period begins at time of purchase.
In this Python training course, students already familiar with Python programming will learn advanced Python techniques. This Python course is taught using Python 3; however, differences between Python 2 and Python 3 are noted.
Experience in the following is required for this Python class:
Basic Python programming experience. In particular, you should be very comfortable with:
Working with strings.
Working with lists, tuples and dictionaries.
Loops and conditionals.
Writing your own functions.
Experience in the following would be useful for this Python class:
Some exposure to HTML, XML, JSON, and SQL.
What You Need to Take this Training
You will be able to access the course provided you have stable internet access. We highly recommend the use of two screens so you can view the instructor's presentation on a screen that's separate and alongside the screen you will be using to complete the labs.
Prefer a Live, Instructor-led Class?
Already know On-Demand, Self-Study training is not right for you? We also offer this same course content in a live, instructor-led format. For more details, click on the link below:
Advanced Python 3 Programming
Classes and Objects
The __init__ method
Adding Arguments to Instance Methods
The __str__ method
The Property Decorator
The Setter Method
Validation via the Setter Method
The DRY Principle Revisited
Sub-Classing Classes from Python Packages
Calling the Parent Method with super()
Method Resolution Order
The Importance of the Standard Library
Knowing How to Navigate in the Standard Library
Dates and Times
Interacting with the OS
Listing All Hidden Files in Your Home Directory
Using the subprocess Module
Using List Comprehensions
Set and Dictionary Comprehensions
Comprehensions and Multiple Lists
One, and Back Again
Writing Tests in Python with Unit Testing
Writing a Test with pytest
View outline in Word