Python Programming On-Demand: Comprehensive (Introduction for Programmers & Advanced Programming Techniques)

***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. 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.

-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 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