Here's a course syllabus for a 20-hour introductory Python programming course:

Course Overview

Class 1: Introduction to Python

• Overview of the course and its objectives
• Explanation of the Python programming language and its uses
• Installation and setup of Python on your computer
• Running your first Python program
• Introduction to Python syntax
• Data types in Python: strings, integers, and floats
• Exercise and homework

Class 2: Data types and variables

• Recap of previous class
• Different types of data in Python: lists, tuples, and dictionaries
• Variables in Python and how they work
• Type conversion in Python
• Manipulating strings in Python
• Exercise and homework

Class 3: Control flow statements

• Recap of previous class
• Conditional statements in Python: if, elif, else
• Loops in Python: for and while loops
• Iteration and range function
• The break and continue statements in loops
• Exercise and homework

Class 4: Error Handling

• Recap of previous class
• Introduction to error handling
• Syntax errors
• Using the try-except block to catch and handle exceptions
• Raising exceptions with the raise statement
• Handling multiple exceptions with the except clause
• Common exceptions and their causes (e.g. NameError, TypeError, ValueError)
• Logging errors and exceptions
• Exercise and homework

Class 5: Functions

• Recap of previous class
• Writing functions in Python
• Parameters and arguments in functions
• Return statements in functions
• Local and global variables in Python functions
• Exercise and homework

Class 6: Lists and Tuples

• Recap of previous class
• Creating and modifying lists and tuples in Python
• Indexing and slicing lists and tuples
• List and tuple operations and methods
• Combining data types in Python
• Exercise and homework

Class 7: Dictionaries and Sets

• Recap of previous class
• Creating and modifying dictionaries and sets in Python
• Dictionary and set operations and methods
• Iterating over dictionaries and sets
• Combining data types in Python
• Exercise and homework

Class 8: File Input/Output

• Recap of previous class
• Reading and writing text files in Python
• File modes and permissions in Python
• Using with statements for file input/output
• Working with CSV files in Python
• Exercise and homework

Class 9: Object-oriented Programming

• Recap of previous class
• Introduction to object-oriented programming in Python
• Creating classes and objects in Python
• Class inheritance and polymorphism in Python
• Encapsulation and abstraction in Python
• Exercise and homework

Class 10: Modules and Packages

• Recap of previous class
• Introduction to modules and packages in Python
• Creating modules and importing modules in Python
• Using third-party modules and packages in Python
• Installing and managing packages with pip
• Exercise and homework

Class 11: Final Project

• Recap of previous classes
• Final project assignment and instructions
• Working on the final project in class
• Submission and presentation of final project in class

Here is a course syllabus for a 20-hour advanced Python programming course:

Course Overview

Class 1: Object-Oriented Programming

• Overview of the course and its objectives
• Review of basic Python syntax
• Introduction to object-oriented programming
• Classes and objects
• Properties and methods
• Access modifiers
• Exercise and homework

Class 2: Inheritance

• Recap of previous class
• Understanding inheritance
• Base and derived classes
• Overriding methods
• Multiple inheritance
• Method resolution order
• Exercise and homework

Class 3: Polymorphism

• Recap of previous class
• Understanding polymorphism
• Duck typing
• Operator overloading
• Abstract classes
• Exercise and homework

Class 4: Abstract Classes and Interfaces

• Recap of previous class
• Abstract classes and interfaces
• Defining abstract classes and interfaces
• Implementing abstract classes and interfaces
• Multiple inheritance with abstract classes and interfaces
• Exercise and homework

Class 5: Decorators

• Recap of previous class
• Introduction to decorators
• Function decorators
• Class decorators
• Method decorators
• Nested decorators
• Exercise and homework

Class 6: Generators

• Recap of previous class
• Understanding generators
• Generator functions
• Generator expressions
• Coroutines
• Synchronous and asynchronous programming
• Exercise and homework

Class 7: Advanced Data Structures

• Recap of previous class
• Advanced data structures in Python
• Stacks and queues
• Heaps and priority queues
• Trees and graphs
• Red-black trees
• Exercise and homework

Class 8: Recursion

• Recap of previous class
• Understanding recursion
• Recursive functions
• Tail recursion
• Recursive data structures
• Handling recursion errors
• Exercise and homework

Class 9: Searching and Sorting Algorithms

• Recap of previous class
• Searching algorithms in Python
• Linear search
• Binary search
• Hash tables
• Sorting algorithms in Python
• Bubble sort
• Selection sort
• Insertion sort
• Quick sort
• Merge sort
• Exercise and homework

Class 10: GUI Programming with Tkinter

• Recap of previous class
• Understanding layout management in Tkinter
• Understanding event handling in Tkinter
• Binding events to widgets
• Creating your own gui programme
• Exercise and homework

Class 11: Project: Building a Web Scraper

• Recap of previous classes
• Assignment of a project to build a web scraper
• Working on the project in class
• Submission and presentation of the project in class

By the end of the Software Development course students will have usable knowledge of the following:

• Intro Python Course objectives.
• Intermediate Python Course objectives.
• Advanced Python Course objectives.
• Project & test.

By the end of the Software Engineering course (Python + 1 other programming language of choice), students will have usable knowledge of the following:

• Intro Python Course objectives.
• Intermediate Python Course objectives.
• Advanced Python Course objectives.
• Project & test.
• Intro of programming language 2 (your choice) fundamentals
• Intermediate programming language 2.
• Advanced programming language 2 objectives.
• Project & test.

By the end of the Full Stack Web Development course with python, students will have usable knowledge of the following:

• Understand the Fundamentals of web design
• Be able to understand classes coupled with Objects.
• Understand of datatypes together with operators.
• Understand variable declaration including initialization.
• Learn Methods, functions coupled with sequential code.
• Decision making: If statements not to mention switch cases.
• Learn about Loops, namely a do while, for loop and while loop.
• How to use Django and Python Fundamentals.
• Create Websites using Django Framework and best development principals & standards
• IDE's, applets coupled with publishing applications.
• Including HTML, CSS, JavaScript and Web Services.

By the end of the Data Science course, students will have usable knowledge of the following:

• Apply statistical methods to data
• Be able to understand Python to explore and transform data.
• Create,validate machine learning models with Azure Machine Learning.
• Thoroughly Understand Python code to build machine learning models.
• Apply data science techniques to common scenarios.
• Implement a machine learning solution for a given data problem.
• Learn advanced Python and Data Analysis to implement computer science algorithms.
• Implement a BioInformatics and natural language processing.
• Acquire the skills needed to find structure in data and how to use the python libraries.
• Matplotlib.
• SciKit Learn.
• NumPy.
• NLTK,