Course description

This comprehensive Python course is designed to take learners from the basics to advanced levels of Python programming. It covers fundamental concepts, data structures, control flow, functions, object-oriented programming, file handling, modules, and introduces data visualization and machine learning. The course emphasizes practical applications, enabling students to build real-world projects and develop a strong foundation in Python.

Course Modules:

1. Introduction to Python:

   • Overview of Python and its applications

   • Setting up the development environment

   • Writing and executing your first Python program

2. Data Types and Variables:

   • Understanding different data types: integers, floats, strings, booleans

   • Variable declaration and type casting

   • Basic input/output operations

3. Control Flow and Functions:

   • Conditional statements: if, else, elif

   • Loops: for, while, and loop control statements

   • Defining and invoking functions

   • Function parameters, return values, and scope

   • Error handling and exceptions

4. Data Structures:

   • Lists, tuples, sets, and dictionaries

   • Operations on data structures: indexing, slicing, and methods

   • Nested data structures and list comprehensions

5. Object-Oriented Programming (OOP):

   • Classes and objects

   • Constructors and destructors

   • Inheritance, polymorphism, encapsulation, and abstraction

   • Method overloading and overriding

6. File Handling and Modules:

   • Reading from and writing to files

   • Working with CSV and JSON files

   • Understanding and creating modules

   • Using built-in modules and external libraries

7. Data Visualization and Introduction to Machine Learning:

   • Using libraries like Pandas and Matplotlib for data analysis and visualization

   • Introduction to scikit-learn for machine learning

   • Building simple machine learning models

What will i learn?

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