*** Note: This is an On-Demand (self -study) course, 6-month 24/7 access via the internet ***
(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.
Overview
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.
Prerequisites
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.
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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
Duration
You have 24/7 access for 180-days to this digital course that includes 5h 44m of video presentation. As a traditional course it would be a 2-day class.
Course Outline
Classes and Objects
Defining Classes
The __init__ method
Keyword Arguments
Methods
Instance Methods
Adding Arguments to Instance Methods
The __str__ method
Static Methods
Class Methods
Properties
The Property Decorator
The Setter Method
Validation via the Setter Method
Inheritance
The DRY Principle Revisited
Single Inheritance
Sub-Classing Classes from Python Packages
Overriding Methods
Calling the Parent Method with super()
Multiple Inheritance
Method Resolution Order
The Importance of the Standard Library
High-Level Modules
Lower-Level Modules
Knowing How to Navigate in the Standard Library
Dates and Times
datetime Objects
Interacting with the OS
OS Information
Using pathlib
Listing All Hidden Files in Your Home Directory
Using the subprocess Module
Collections
Counters
defaultdict
ChainMap
Becoming Pythonic
Using List Comprehensions
Set and Dictionary Comprehensions
Comprehensions and Multiple Lists
Default Dictionary
Iterators
Itertools
One, and Back Again
Generators
Regular Expressions
Software Development
Debugging
Automated Testing
Test Categorization
Test Coverage
Writing Tests in Python with Unit Testing
Writing a Test with pytest
