Python Fundamentals Course

Python Programming: From Basics to Advanced Applications in AI & Data Science (Update 24.0-Based on Python 3.13)

By Osama Elzero | Categories: Python Programming

Course info Reviews

About Course

This Python course is designed for beginners and experienced programmers who want to master one of the most powerful programming languages. The course covers everything from basic syntax and object-oriented programming to advanced topics like data analysis, machine learning, and web development.

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What Will You Learn?

The entire process of learning Python programming, from basic syntax to advanced features, is taught step by step. Each topic is illustrated with practical examples to ensure a deep understanding.

You will start with fundamental concepts like variables, data types, operators, loops, and conditionals. Everything is taught clearly, so even beginners can grasp the concepts easily.

From writing simple programs to understanding object-oriented programming (OOP) with classes, objects, inheritance, and polymorphism, everything is covered in detail.

Advanced topics such as data analysis, file handling, and exception handling are also included to help you become a proficient Python programmer.

By the end of this course, you will be able to develop various applications, including data analysis tools, web applications, and automation scripts, preparing you for real-world software development.

Understanding data structures and algorithms is crucial in Python. This course will guide you through working with lists, dictionaries, sets, and tuples, and how to implement efficient algorithms.

Control structures like loops and conditional statements will be explained in detail, helping you write efficient and logical programs. You will also learn about functions, their importance in code reusability, and how to structure your programs efficiently.

The course also covers file handling, allowing you to read and write data to files, making your applications more interactive. Exception handling techniques will be introduced to help you write robust programs that can handle errors gracefully.

Object-oriented programming (OOP) is a key feature of Python, and you will explore classes, objects, constructors, destructors, and key principles like encapsulation, inheritance, and polymorphism.

Finally, you will explore Python's rich ecosystem of libraries like NumPy, Pandas, and Matplotlib for data analysis and visualization, helping you write efficient and powerful data-driven applications.

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Course Content

Python Basics & Setup

Introduction to Python and setting up the environment	29:30
Understanding Variables and Data Types	07:56
Operators and Expressions	06:59
Input and Output in Python	24:58

Control Flow & Functions

Conditional Statements (if-else, switch-case)	19:30
Loops (for, while, do-while)	09:44
Functions and Scope	12:55
Recursion and Inline Functions	27:50

Object-Oriented Programming (OOP)

Introduction to OOP and Classes	30:31
Constructors and Destructors	05:56
Inheritance and Polymorphism	14:43
Encapsulation and Abstraction	22:58

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