Python Programming On-Demand: Comprehensive (Introduction to Python 3 & Advanced Python 3 Programming) Course Outline
***Note: This is an On-Demand, Self-Study Class, 5 days of content, 6-months unlimited access, $895***
(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) classes. Note: the 6-month course access period begins at time of purchase.
Overview
In the introduction course, students who already have a programming background will learn to program in Python. Students will learn: how Python works and its place in the world of programming languages; to work with and manipulate strings; to perform math operations; to work with Python sequences; to collect user input and output results; flow control processing; to write to, and read from, files; to write functions; to handle exception; and work with dates and times.
In the advanced 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
This Introduction course is specially designed for individuals with prior programming background and assumes a working knowledge of Object Oriented Programming concepts. If you have no prior programming experience or are not familiar with Object Oriented Programming, you should consider our ILT "Python Programming - Basics for Non-Programmers" course. For details on this alternative slower paced course for non-programmers, refer to the:
Python Programming - Basics for Non-Programmers course outline.
Prerequisites for the Advanced portion of the course requires basic Python programming experience, in particular you should be comfortable with: working with strings; working with lists, tuples and dictionaries; loops and conditionals, writing your own functions. Some exposure to HTML, XML, JSON and SQL would be useful.
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:
Learn Python with Programming
Course Outline
-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
View outline in Word
GPYC30
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