Python Programming Level 2: Advanced Programming Techniques

 

Course Description:

  The Python Programming Level 2: Advanced Programming course is a 2-day course designed to teach students already familiar with Python programming about advanced Python techniques.

The course will cover how Python works, Pythons place in the world of programming languages, working with strings, performing math operations, Python sequences, collecting user input and output results, flow control processing, read and write files; handle exception handling, and working with dates and times. This course is taught using Python 3, and differences between Python 2 and Python 3 are noted.

Topics covered in the course include:

• Working with with the Collections module.
• Mapping and filtering and lambda functions.
• Advanced sorting.
• Working with with regular expressions in Python.
• Working with with databases, CSV files, JSON, and XML.
• Writing object-oriented code in Python.
• Testing and debuggin your Python code.
• Unicode and text encoding.

Target Student: This course would be beneficial to for students that are familiar with Python and want to fully utilize the language. The contents of the this course Introduction to Python 3, or equivalent knowledge are required.

 

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

 

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