-Level 1 - Introduction for Programmers-

Vital Python – Math, Strings, Conditionals, and Loops

• Vital Python
• Numbers: Operations, Types, and Variables
• To Open a Jupyter Notebook
• Python as a Calculator
• Standard Math Operations
• Basic Math Operations
• Order of Operations
• Spacing in Python
• Number Types: Integers and Floats
• Complex Number Types
• Errors in Python

Variables

• Variable Assignment
• Changing Types
• Reassigning Variables in Terms of Themselves
• Variable Names
• Multiple Variables
• Comments
• Docstrings
• Theorem in Python

Strings: Concatenation, Methods, and input()

• String Syntax
• Escape Sequences with Quotes
• Multi-Line Strings
• The print() Function
• String Operations and Concatenation
• String Interpolation
• Comma Separators
• Format
• The len() Function
• String Methods
• Casting
• The input() Function
• String Indexing and Slicing
• Indexing
• Slicing

Strings and Their Methods

• Booleans and Conditionals
• Booleans
• Logical Operators
• Comparison Operators
• Comparing Strings
• Conditionals
• The if Syntax
• Indentation
• if else
• The elif Statement
• Loops
• The while Loops
• An Infinite Loop
• break
• Programs
• The for Loop
• The continue Keyword

Python Structures

• The Power of Lists
• List Methods
• Accessing an Item from a List
• Adding an Item to a List
• Dictionary Keys and Values
• a List and a Dictionary
• Zipping and Unzipping Dictionaries Using zip()
• Dictionary Methods
• Tuples
• A Survey of Sets
• Set Operations
• Choosing Types

Executing Python – Programs

• Algorithms, and Functions
• Introduction
• Python Scripts and Modules
• Shebangs in Ubuntu
• Docstrings
• Imports
• The if __name__ == "__main__" Statement
• Basic Functions
• Positional Arguments
• Keyword Arguments
• Iterative Functions
• Exiting Early
• Activity 10: The Fibonacci Function with an Iteration
• Helper Functions
• Don't Repeat Yourself
• Variable Scope
• Variables
• Defining inside versus outside a Function
• The Global Keyword
• The Nonlocal Keyword
• Lambda Functions
• Mapping with Lambda Functions
• Filtering with Lambda Functions
• Sorting with Lambda Functions

Extending Python, Files, Errors, and Graphs

• Reading Files
• Writing Files
• the Date and Time in a Text File

-Level 2: Advanced Programming Techniques-

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