Python Programming (Beginner to Advanced)

Setting up your environment and learning the basic syntax.

• Introduction to Python and its uses.
• Setting up Python and VS Code.
• "Hello World", variables, and operators.
• Basic data types: Integers, Floats, Strings, Booleans.

Controlling the flow of your programs.

• Conditional statements (if, elif, else).
• `for` loops and the `range()` function.
• `while` loops.
• `break` and `continue` statements.

Storing and organizing data efficiently.

• Lists (methods, slicing, ).
• Tuples (immutability).
• Dictionaries (key-value pairs).
• Sets (unique elements).
• List Comprehensions.

Writing reusable and organized code.

• Defining functions with `def`.
• Arguments and return values.
• Scope (Local vs. Global).
• Lambda functions.
• Importing modules (math, random, datetime).

Understanding the OOP paradigm.

• The OOP paradigm (Classes vs. Objects).
• Defining classes.
• The `__init__` constructor.
• Instance attributes and methods.

Advanced OOP concepts.

• Inheritance (Parent and Child classes).
• Polymorphism and Method Overriding.
• Dunder methods (like `__str__`).

Interacting with files and managing errors.

• Reading from and writing to files (`.txt`, `.csv`).
• Using `with` statement for file I/O.
• `try...except` blocks for error handling.
• The `finally` keyword.

Building your first web applications.

• Understanding web frameworks.
• Building a simple REST API with Flask.
• Routing and handling requests.
• Request/Response cycle.

Using Python for data manipulation.

• Introduction to NumPy for numerical data.
• Pandas Series and DataFrames.
• Reading CSVs with Pandas.
• Basic data manipulation and filtering.

Integrating all skills learned into a single project.

• Project: (e.g., Personal Portfolio Website, Data Analysis Report, or a Small Business API).
• Planning and designing the application.
• Writing and testing the code.
• Presenting the final project.