Python Programe Course

DESCRIPTION:

The Python Programming course is designed to introduce participants to the fundamentals of programming using the Python language. Python is known for its simplicity, readability, and versatility, making it an ideal language for beginners and professionals alike.
This course covers basic to advanced concepts, enabling participants to write Python code for a variety of applications, including web development, data analysis, and automation.

What Will You Learn?

Key Topics Covered:

1. Introduction to Python:

1. Understand the history and significance of Python in the programming community.
2. Install and set up the Python interpreter and development environment.

2. Basic Python Syntax and Programming Constructs:

1. Learn the fundamental syntax of Python, including variables, data types, operators, and control flow structures (if statements, loops).
2. Understand the principles of structured programming.

3. Data Structures in Python:

1. Explore built-in data structures such as lists, tuples, sets, and dictionaries.
2. Understand how to manipulate and iterate through these data structures.

4. Functions and Modules:

1. Define and use functions in Python for code modularity and reusability.
2. Understand the concept of modules and how to create and import them.

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

1. Master the principles of OOP in Python, including classes, objects, inheritance, polymorphism, and encapsulation.
2. Design and implement classes for modeling real-world entities.

6. File Handling:

1. Learn how to read from and write to files in Python.
2. Understand different file input/output operations for data persistence.

7. Exception Handling:

1. Understand the concept of exceptions in Python and how to handle them using try, except, and finally blocks.
2. Implement custom exception classes for specific error scenarios.

8. Regular Expressions:

1. Introduce regular expressions in Python for pattern matching and text processing.
2. Apply regular expressions to search, match, and manipulate strings.

9. Web Development with Flask (Optional):

1. Optionally, introduce participants to web development using the Flask framework.
2. Understand the basics of routing, templates, and handling requests.

10.Data Analysis and Visualization with Pandas and Matplotlib:

1. Introduce the Pandas library for data manipulation and analysis.
2. Use Matplotlib for data visualization and plotting.

11. Introduction to Automation with Python:

1. Explore automation tasks using Python, including file operations, web scraping, and scripting.

12. Version Control with Git:

1. Introduce the basics of version control with Git and how to collaborate on projects.