What You Will Learn

This course covers Python programming from the basics to advanced concepts. You will learn through structured topics and hands-on practice.

• Introduction to Python: Understand what Python is, its features, and applications. Learn how to install Python and use different IDEs like PyCharm and Visual Studio Code.
• Basic Python Syntax: Learn about variables, data types, and how to handle input and output. Understand comments and keywords in Python.
• Operators: Explore various operators such as arithmetic, relational, logical, assignment, bitwise, membership, and identity operators.
• Conditional Statements: Learn how to use if, if-else, and elif statements. Understand nested conditions.
• Loops: Practice using for loops and while loops. Understand nested loops and the use of break, continue, and pass statements.
• Strings: Work with string operations, slicing, and string methods.
• Lists: Learn about list operations, methods, and nested lists.
• Tuples: Understand tuple operations and the differences between lists and tuples.
• Sets: Explore set methods, including union and intersection.
• Dictionaries: Learn about key-value pairs and dictionary methods.
• Functions: Understand how to define functions, use arguments, return values, and explore lambda functions and recursion.
• Modules and Packages: Learn to import and create modules and explore built-in modules.
• Exception Handling: Understand try, except, finally, and user-defined exceptions.
• File Handling: Learn to read and write files and handle CSV files.
• Object-Oriented Programming (OOP): Understand classes, objects, constructors, inheritance, polymorphism, encapsulation, and abstraction.
• Advanced Python: Explore topics such as list comprehension, decorators, generators, and iterators.
• Database Connectivity: Learn the basics of SQLite/MySQL and perform CRUD operations.
• Python Libraries for Data Science: Get introduced to NumPy, Pandas, and Matplotlib.
• Introduction to AI / ML with Python: Understand basic concepts of machine learning, use Scikit-learn, and create simple prediction models.
• Mini Projects: Apply your skills in practical projects like a calculator, student management system, and attendance system.

This course provides a comprehensive learning path, guiding you through Python programming step by step.