Python Mastery For Everyone: Complete Course With 200+ Demos

Learn Python Programming from fundamentals to advanced level

What you'll learn

Write clean and professional Python code from scratch

Understand Python data types, variables, and operators in depth

Work with lists, tuples, dictionaries, and sets like a pro

Master control flow with loops, conditionals, and comprehensions

Define and use functions, lambdas, decorators, and generators

Read and write files (text, CSV, JSON) and handle exceptions properly

Create object-oriented programs using classes, inheritance, and encapsulation

Build a solid foundation for web, data science, and automation projects

Requirements

No prior programming experience is needed – we start from the absolute basics

Willingness to practice coding and explore concepts in-depth

A computer with internet access (Windows, macOS, or Linux)

Curiosity and patience to learn step-by-step with guided examples

Description

Note: This course is specifically designed for beginners, offering clear explanations, 200+ hands-on examples, and step-by-step guidance to help you learn Python with confidence.• Do you want to learn Python from scratch but feel overwhelmed by complex tutorials?• Are you curious about how to write clean, real-world code and build a strong foundation in programming?• Would you like to use Python for web development, data science, automation, or career opportunities?• Are you searching for a complete course with no skipped steps, explained in plain language, with lots of practical examples?If you answered yes, then this course is exactly what you need!What You'll LearnThis course is built for absolute beginners with no prior programming experience. It provides over 70 hours of content, 200+ real examples, source code, quizzes, and projects to take you from beginner to confident Python programmer.You’ll learn:• Python basics: syntax, variables, data types, input/output• Control flow: if/else, loops, comprehensions, logical operations• Functions: arguments, lambdas, decorators, recursion, generators• Data structures: lists, tuples, dictionaries, sets, and advanced operations• File handling: working with text, CSV, JSON, and binary files• Exception handling: try/except, raising errors, debugging• Object-Oriented Programming: classes, inheritance, encapsulation, polymorphism• Working with modules, packages, virtual environments, and Pythonic practices• Using Python for applications like automation, scripting, and productivity• Writing clean, maintainable code and following best practices (PEP8, etc.)Hands-On Projects & Real ExamplesThroughout the course, you’ll build your skills by working on real Python demos, exercises, and challenges—no fluff or filler. Everything is hands-on and practical, designed to help you apply what you learn immediately.You’ll explore topics like:• Decorators, iterators, generators, comprehensions• Type hinting, data classes, and built-in modules• Creating reusable modules and organizing Python projects• Working with the terminal, PyCharm, VS Code, Jupyter Notebook, and moreWhy This Course Stands Out• Beginner-friendly, with no assumptions or skipped steps• 200+ real-world code examples explained line-by-line• Covers the latest Python versions and features• Clear structure and high-quality instruction with practice-based teaching• Designed by an expert with years of teaching and industry experience• Lifetime access – study at your own pace• Slides, source files, challenges, and projects includedBy Taking This Course, You Will Gain:• A solid grasp of Python and how to use it in real projects• Confidence to write clean, error-free code• Practical experience with real-world problems and scenarios• A strong foundation for web development, data science, automation, and more• The skills to build your own Python-based tools, apps, or scriptsNo prior programming knowledge is needed—just your curiosity and a desire to learn. Enroll today and start your Python journey with real code and real confidence. Got questions? I’m here to support you along your learning journey.

Overview

Section 1: Fundamental of Programming

Lecture 1 What Is Programming

Lecture 2 GPL and DSL Languages

Lecture 3 Is Programming Suits you?

Lecture 4 Language levels

Lecture 5 Compiler vs. Interpreter

Lecture 6 Static-Dynamic-Weak-Strong

Lecture 7 Paradigm

Lecture 8 What is Python

Lecture 9 History

Lecture 10 Applications of Python

Lecture 11 Versions of Python

Lecture 12 What Is Algorithm

Lecture 13 Algorithm In Programming

Lecture 14 Flowchart

Lecture 15 Soft Skills

Section 2: Install

Lecture 16 Environments

Lecture 17 IDLE

Lecture 18 Terminal

Lecture 19 PyCharm

Lecture 20 VS Code

Lecture 21 Jupyter

Lecture 22 Android

Lecture 23 Web-based Interpreter

Lecture 24 PyCharm Environment (Part 1)

Lecture 25 PyCharm Environment (Part 2)

Lecture 26 PyCharm Environment (Part 3)

Section 3: Fundamental & Syntax

Lecture 27 Syntax & Rows

Lecture 28 Comment & DocString

Lecture 29 Indentation

Lecture 30 Input & Output

Lecture 31 Variables

Lecture 32 Identifier

Lecture 33 Keywords

Lecture 34 Arithmetic Operators

Lecture 35 Comparison Operators

Lecture 36 Assignment Operators

Lecture 37 Logical Operators

Beginners who want to learn Python from scratch with real examples,Developers from other languages looking to transition into Python,Students preparing for jobs in software, data, or automation,Anyone who wants to master Python for career growth or personal projects