Complete 2026 Python Bootcamp: Learn Python from Scratch

About Course

The Complete 2025 Python Bootcamp is your all-in-one course to master Python starting from absolute zero. Designed and taught by Malik Arshad, this beginner-friendly program on Easy to Expert takes you step by step through the fundamentals of Python, guiding you all the way to advanced concepts with simple explanations and practical projects. Whether you want to start a tech career, boost your skills, or build real-world applications, this course gives you the knowledge and confidence to write clean, powerful Python code. Learn through hands-on exercises, clear lessons, and real projects created to make Python easy for everyone.

Understand Python fundamentals and write clean, efficient code
Build programs using variables, data types, loops, and functions
Apply decision-making with if-else, match-case, and logical conditions
Work with lists, tuples, sets, and dictionaries
Develop skills in handling files, CSV, and JSON data
Debug code and manage exceptions like a professional
Create object-oriented programs using classes and inheritance
Install and use Python modules and third-party packages
Automate repetitive tasks with Python scripts
Build real-world projects including a To-Do App and Student Database

Course Content

Chapter 1: Getting Started with Python

1.1 Introduction to programming and python

04:12
1.2 Installing Python and VS Code

09:33
1.3 Your First Python Program (print(“Hello, World!”))

14:49
1.4 How Python Code Runs (Interpreter vs Compiler)

10:22
1.5 Writing Clean Code: Comments and Formatting

10:42

Chapter 2: Python Basics

Chapter 3: Decision Making (Control Flow)

Chapter 4: Loops and Iteration

Chapter 5: Functions in Python

Chapter 6: Data Structures

Chapter 7: Working with Files

Section 8: Error Handling and Debugging

Chapter 9: Object-Oriented Programming (OOP)

Chapter 10: Modules and Packages

Chapter 11: Testing and Automation

Final Projects

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About Course

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Course Content

Chapter 1: Getting Started with Python

1.1 Introduction to programming and python

1.2 Installing Python and VS Code

1.3 Your First Python Program (print(“Hello, World!”))

1.4 How Python Code Runs (Interpreter vs Compiler)

1.5 Writing Clean Code: Comments and Formatting

Chapter 2: Python Basics

2.1 Variables and Data Types

2.2 Numbers and Arithmetic Operators

2.3 Strings and String Methods

2.4 User Input and Output Formatting

2.5 Type Conversion and Casting

Chapter 3: Decision Making (Control Flow)

3.1 Boolean Logic and Comparison Operators

3.2 The if, elif, and else Statements

3.3 Nested Conditionals

3.4 Match-Case (Python’s Switch Alternative)

3.5 Mini Project: Simple Calculator

Chapter 4: Loops and Iteration

4.1 The while Loop

4.2 The for Loop

4.3 Loop Control Statements (break, continue, pass)

4.4 Iterating Over Strings, Lists, and Ranges

4.5 Mini Project: Number Guessing Game

Chapter 5: Functions in Python

5.1 Defining and Calling Functions

5.2 Parameters, Arguments, and Return Values

5.3 Default and Keyword Arguments

5.4 Variable Scope (Local vs Global)

5.5 Lambda (Anonymous) Functions

Chapter 6: Data Structures

6.1 Lists: Creating, Accessing, and Modifying

6.2 Tuples: Immutable Sequences

6.3 Sets: Unique Collections and Operations

6.4 Dictionaries: Key-Value Pairs

6.5 Mini Project: Contact Book with Dictionary

Chapter 7: Working with Files

7.1 Reading and Writing Text Files

7.2 Working with CSV Files

7.3 Handling JSON Data

7.4 File Paths and OS Module Basics

7.5 Mini Project: Student Report Generator

Section 8: Error Handling and Debugging

8.1 Introduction to Errors and Exceptions

8.2 Using try, except, finally

8.3 Raising Exceptions

8.4 Assertions for Safer Code

8.5 Debugging Tips and Best Practices

Chapter 9: Object-Oriented Programming (OOP)

9.1 Classes and Objects

9.2 Attributes and Methods

9.3 The init Constructor

9.4 Inheritance in Python

9.5 Encapsulation and Polymorphism

9.6 Mini Project: Bank Account System

Chapter 10: Modules and Packages

10.1 Using Built-in Modules (math, random, datetime)

10.2 Installing Third-Party Packages (pip)

10.3 Creating Your Own Module

10.4 Importing from Custom Packages

10.5 Mini Project: Dice Rolling Game with random

Chapter 11: Testing and Automation

11.1 Writing Test Cases with assert

11.2 Introduction to unittest Module

11.3 Automating Repetitive Tasks

11.4 Logging and Monitoring Code

11.5 Mini Project: File Renaming Tool

Final Projects

12.1 To-Do List App (CLI Based)

12.2 Simple Student Database System

12.3 Weather Data Analyzer (API/JSON)

12.4 Tips for Building Larger Python Projects

12.5 Next Steps in Your Python Journey

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