This class is to teach students about Python programming language.
We will start from basics, which will cover things like 'What is a computer?', 'How does it work?', 'What is a programming language?' and so on.
The ultimate goal is to make the learners expert in core Python.
Please find the current list of topics to be covered in this class as follows:
1. **Introduction to Python**
- History of Python
- Python installation and setup
- Running Python scripts
- Python IDEs and code editors
2. **Basic Syntax**
- Python syntax and indentation
- Variables and data types
- Basic operators (arithmetic, comparison, logical, bitwise)
- Comments in Python
3. **Data Types**
- Numbers (integers, floats, complex)
- Strings
- Lists
- Tuples
- Sets
- Dictionaries
4. **Control Flow**
- Conditional statements (if, elif, else)
- Loops (for, while)
- Break, continue, and pass statements
5. **Functions**
- Defining and calling functions
- Function arguments (positional, keyword, default, variable-length)
- Return values
- Lambda functions
- Scope of variables (local, global)
6. **Modules and Packages**
- Importing modules
- Standard library modules
- Creating and using custom modules
- Introduction to packages
7. **File Handling**
- Reading and writing files
- File modes (read, write, append)
- Working with file objects
- Handling file exceptions
8. **Error and Exception Handling**
- Understanding exceptions
- Try, except, finally blocks
- Raising exceptions
- Custom exceptions
9. **Object-Oriented Programming (OOP)**
- Classes and objects
- Constructor and destructor
- Inheritance
- Polymorphism
- Encapsulation
- Method overriding
10. **Standard Library and Built-in Functions**
- Commonly used standard library modules (e.g., `math`, `os`, `sys`, `datetime`, `random`)
- Built-in functions (e.g., `len()`, `range()`, `type()`, `isinstance()`)
11. **Comprehensions**
- List comprehensions
- Dictionary comprehensions
- Set comprehensions
- Generator expressions
12. **Decorators**
- Function decorators
- Class decorators
13. **Iterators and Generators**
- Iterators in Python
- Creating custom iterators
- Generators and `yield` keyword
14. **Regular Expressions**
- Introduction to regular expressions
- Using the `re` module
- Common regular expression patterns
15. **Context Managers**
- Understanding context managers
- Using the `with` statement
- Creating custom context managers
These topics form the foundation of Python programming and are essential for both beginners and experienced developers to understand and master.
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