Python Courses

Day 1: Introduction to Python

• Overview of Python programming language.
• Installing Python and setting up the development environment.
• Running Python scripts using command line and IDEs.
• Basic syntax, variables, and data types in Python.

Day 2: Control Flow

• Introduction to conditional statements (if, elif, else).
• Looping constructs: for loops and while loops.
• Using break and continue statements.
• Practical exercises to reinforce understanding.

Day 3: Functions and Modules

• Defining and calling functions.
• Parameters and return values.
• Scope of variables.
• Introduction to modules and importing them.
• Organizing code into modules for better readability and reusability.

Day 4: Data Structures Part I – Lists and Tuples

• Understanding lists and their operations (slicing, appending, extending, etc.).
• Working with tuples and their immutability.
• List comprehensions for concise code.
• Practical exercises to work with lists and tuples.

Day 5: Data Structures Part II – Dictionaries and Sets

• Introduction to dictionaries and their key-value pairs.
• Common dictionary operations (adding, accessing, deleting items).
• Sets and their unique properties (no duplicate elements, mathematical operations).
• Hands-on exercises to manipulate dictionaries and sets.

Day 6: File Handling

• Reading from and writing to text files.
• Using the open() function with different modes.
• Error handling with try-except blocks.
• Working with file objects and methods.
• Practical exercises to work with file I/O.

Day 7: Object-Oriented Programming (OOP) Basics

• Introduction to OOP concepts: classes and objects.
• Defining attributes and methods in a class.
• Creating instances of a class.
• Encapsulation, inheritance, and polymorphism.
• Hands-on practice with simple class definitions.

Day 8: Advanced OOP Concepts

• Understanding inheritance and method overriding.
• Working with multiple inheritance.
• Using special methods (dunder/magic methods).
• Class and static methods.
• Practical exercises to implement advanced OOP concepts.

Day 9: Exception Handling and Debugging

• Handling exceptions using try-except blocks.
• Raising custom exceptions.
• Debugging techniques and tools (print statements, debugging in IDEs).
• Using logging module for effective debugging.
• Debugging practical exercises.

Day 10: Introduction to Python Libraries and Conclusion

• Overview of popular Python libraries (NumPy, Pandas, Matplotlib, etc.).
• Installing and importing libraries.
• Basic usage examples of selected libraries.
• Recap of the course content.
• Next steps and resources for further learning.

Each day can include a mix of theory sessions, hands-on coding exercises, quizzes, and practical examples to reinforce learning. Additionally, encourage students to work on mini-projects or assignments to apply their newly acquired Python skills.