1. Introduction to Python:

• Overview of Python programming language.
• Setting up the development environment (installing Python, using an IDE).

2. Basic Python Syntax:

• Variables, data types, and basic operators.
• Control structures: if statements, loops (for and while).
• Functions and modules.

3. Data Structures:

• Lists, tuples, sets, and dictionaries.
• String manipulation.

4. Object-Oriented Programming (OOP) in Python:

• Classes and objects.
• Inheritance, encapsulation, and polymorphism.
• Exception handling.

5. File Handling:

• Reading from and writing to files.

6. Python Libraries and Frameworks:

• Introduction to popular libraries such as NumPy, pandas, and matplotlib for data science.
• Basics of web development frameworks like Flask or Django.
• Working with external APIs.

7. Database Interaction:

• Basic database operations using Python (e.g., SQLite, MySQL, or PostgreSQL).
• Introduction to Object-Relational Mapping (ORM) tools like SQLAlchemy.

8. Web Scraping (optional):

• Basic concepts of web scraping using libraries like BeautifulSoup.

9. Testing in Python:

• Writing and executing unit tests using the unittest or pytest framework.

10. Introduction to Data Science (optional):

• Basics of data analysis with Python.
• Introduction to machine learning libraries like scikit-learn.

11. Version Control with Git:

• Basics of version control using Git.
• The whole Team can develop and manage code repositories.

12. Best Practices and Code Style:

• Write Clean, readable, and maintainable code.
• We also follow Python’s PEP 8 coding style guidelines.

13. Real-world Projects:

• Real-time projects develop and learn concepts.
• Building practical applications to reinforce skills.

14. Industry Practices and Trends:

• Exposure to current industry practices and trends in Python development.
• Introduction to virtual environments and package management.

15. Continuous Learning and Resources:

• Encouraging a mindset of continuous learning.
• Providing resources for further self-study.

16. Final Assessment:

• Evaluation of the skills acquired through quizzes, assignments, or a final project. Python is the most effective language for Software developers, Data analysts, Website developers, System engineers, and prototype developers.