Master Python Programming: Python Full Course For Beginners

Python Programming - Basics, OOP, Error Handling, File Handling, Lists, Sets, Tuples, Sets, Dictionary, NumPy, MySQL

What you'll learn

Python Basics: syntax, variables, indentation, and comments.

Python Operators: arithmetic, comparison, logical, and assignment operators.

Data Types: integers, strings, floats, booleans, and type casting.

Control Flow: if, if-else, elif, nested if, match-case.

Loops: for loop, while loop, break, continue, and pass.

Strings: string methods, f-strings, formatting, and manipulation.

User Input: interactive programs with projects.

Python Modules and Packages

Functions: creating functions, scope, and reusable code.

OOP in Python: classes, objects, inheritance, encapsulation, abstraction, polymorphism.

Data Structures: lists, tuples, sets, and dictionaries — with practical examples.

File Handling: reading, writing, appending, deleting, renaming files

Exception Handling: try-except, else, finally, raise, custom exceptions.

Python Programs: 15+ real coding examples to practice your skills.

Master NumPy Library

Requirements

No Python programming experience needed. You will learn everything you need to know

Description

Python is one of the most popular and beginner-friendly programming languages in the world. From web development and data analysis to artificial intelligence and automation, Python is everywhere — and learning it opens the door to endless career opportunities.This course is designed as a complete Python learning path for absolute beginners. You don’t need any prior programming experience — we start from scratch and build up step by step until you’re confident in writing Python code on your own.What is Python?Python is an interpreted, object-oriented, high-level programming language known for its readability and simplicity.It allows you to write code quickly and efficiently, making it ideal for beginners and experienced programmers.Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.Python was created by Guido van Rossum and first released in 1991.Programmers can easily read and understand a Python program because it has basic, English-like syntax.Python makes programmers more productive because they can write a Python program using fewer lines of code compared to many other languages.What You’ll Learn in This CourseInstall Python and set up your development environment.Understand Python syntax, indentation, variables, and commentsWork with operators, data types, and type casting.Write dynamic programs using control statements and loopsMaster Python strings and their built-in methodsAccept and process user input with interactive programsCreate reusable code with functions and explore variable scope.Learn Object-Oriented Programming (OOP): classes, objects, inheritance, encapsulation, abstraction, and polymorphismWork with Python collections: lists, tuples, sets, and dictionaries.Handle files in Python: reading, writing, appending, deleting, and renamingWrite safer programs with exception handling (try-except, else, finally, and custom exceptions)Practice with beginner-friendly Python programs and coding challengesOrganize code with modules and packages.Get introduced to NumPy for numerical operations and array processingWhy Learn Python?1. High Demand and Job OpportunitiesPython is one of the most popular programming languages, and its demand continues to grow in various industries, including technology, finance, healthcare, and education. Learning Python can open up numerous job opportunities.2. Versatility and FlexibilityPython’s versatility allows it to be used in a wide range of applications, from web development and automation to data science and artificial intelligence. Its flexibility makes it a valuable skill for any developer.3. Strong Community SupportPython has a large and active community that contributes to its rich ecosystem of libraries and frameworks. This community support ensures that developers have access to a wealth of resources, tutorials, and tools.4. Easy to Learn and UsePython’s straightforward syntax and readability make it an ideal language for beginners. Its ease of use allows developers to quickly write and understand code, speeding up the learning process.5. Powerful Libraries and FrameworksPython boasts a vast array of libraries and frameworks that facilitate various programming tasks, from data analysis and visualization to web development and machine learning.Whether you want to start a career in programming, enhance your current skills, or simply explore coding as a hobby, this course is your step-by-step guide to mastering Python.Enroll today and start your Python journey!

Overview

Section 1: Introduction to Python Programming

Lecture 1 What is Python Programming?

Lecture 2 Installing Python and PyCharm on Windows (Step-by-Step Setup)

Lecture 3 Creating First Python Project and Python Program in PyCharm

Lecture 4 How Python Works

Lecture 5 Python Comments

Lecture 6 Python Variables

Lecture 7 Python Syntax and Indentation

Section 2: Python Operators

Lecture 8 Python Arithmetic Operators

Lecture 9 Python Assignment Operators

Lecture 10 Python Comparison Operators

Lecture 11 Python Logical Operators

Section 3: Python Data Types

Lecture 12 Python Data Types

Lecture 13 Type Casting in Python

Section 4: Python Control Statements

Lecture 14 if statement in Python

Lecture 15 if-else Statement in Python

Lecture 16 elif Statement in Python

Lecture 17 Nested if Statement in Python

Lecture 18 Python match-case Statement

Section 5: Python Loops

Lecture 19 Python for Loop

Lecture 20 Python while Loop

Lecture 21 Python break Statement

Lecture 22 Python continue statement

Lecture 23 Python pass Statement

Section 6: Python Strings

Lecture 24 Python Strings

Lecture 25 Python String Methods - Part 1

Lecture 26 Python String Methods - Part 2

Lecture 27 Python String Methods - Part 3

Lecture 28 F-Strings in Python

Section 7: Python User Input

Lecture 29 Python User Input

Lecture 30 Python User Input - Build a Simple Registration and Login Program in Python

Section 8: Python Functions

Lecture 31 Python Functions

Lecture 32 Python Variable Scope

Section 9: Python Modules

Lecture 33 Introduction to Python Modules

Lecture 34 Using Built-in Modules

Lecture 35 Create Custom Module in Python

Section 10: Python Packages

Lecture 36 Introduction to Python Packages

Lecture 37 Create Python Package

Lecture 38 Python Package Exercise - Organizing Utility Functions

Section 11: Python OOP (Object-Oriented Programming)

Lecture 39 Classes and Objects in Python

Lecture 40 Classes and Objects in Python - Advanced

Lecture 41 Python Constructors

Lecture 42 Encapsulation in Python

Lecture 43 Abstraction in Python

Lecture 44 Inheritance in Python - Theory

Lecture 45 Python Inheritance Example

Lecture 46 Types of Inheritance in Python

Lecture 47 Single Inheritance in Python

Lecture 48 Multiple Inheritance in Python

Lecture 49 Multilevel Inheritance in Python

Lecture 50 Hierarchical Inheritance in Python

Lecture 51 Polymorphism in Python

Lecture 52 Python Abstract Classes

Section 12: Python Lists

Lecture 53 Python Lists - Introduction

Lecture 54 Creating a List in Python

Lecture 55 Accessing Elements by Index in List in Python

Lecture 56 Updating List Items in Python

Lecture 57 Adding Items to a List in Python

Lecture 58 Removing Items from a List in Python

Lecture 59 Looping Through a List

Lecture 60 Slicing a List in Python

Lecture 61 Checking If an Item Exists in a Python List

Lecture 62 len(), index(), and count() methods

Lecture 63 Sorting a List in Python

Lecture 64 Copying a List in Python

Lecture 65 Merging or Combining Lists in Python

Section 13: Python Tuples

Lecture 66 Introduction to Tuple

Lecture 67 Creating Tuples in Python

Lecture 68 Accessing Elements in a Tuple

Lecture 69 Looping Through a Tuple in Python

Lecture 70 Slicing Tuples in Python

Lecture 71 Nested Tuples in Python

Lecture 72 Converting Between Tuples and Lists in Python

Section 14: Python Sets

Lecture 73 Introduction to Set

Lecture 74 Create Set in Python

Lecture 75 Add and Update Sets in Python

Lecture 76 Remove Items from Sets in Python

Lecture 77 Union of Sets in Python

Lecture 78 Intersection of Sets in Python

Lecture 79 Difference of Sets in Python

Lecture 80 Symmetric Difference in Python

Lecture 81 Loop Through a Set in Python

Section 15: Python Dictionaries

Lecture 82 Introduction to Python Dictionary

Lecture 83 Creating a Dictionary in Python

Lecture 84 Accessing Items in a Dictionary

Lecture 85 Updating and Adding Items in a Dictionary

Lecture 86 Nested Dictionaries in Python

Section 16: File Handling in Python

Lecture 87 Introduction to Python File Handling

Lecture 88 Python Write to File

Lecture 89 Read Files in Python

Lecture 90 Python Exception Handling in File Write and Read Operations

Lecture 91 Python Delete File

Lecture 92 Python Append File

Lecture 93 Python Rename File

Lecture 94 Python List Files in a Folder

Section 17: Exception Handling in Python

Lecture 95 Introduction to Python Exception Handling

Lecture 96 Python try-except Block

Lecture 97 Python Exception Handling with else and finally

Lecture 98 Python Raising Exceptions using the raise Keyword

Lecture 99 Custom Exception Classes in Python

Section 18: Python Programs

Lecture 100 Python Program to Add Two Numbers

Lecture 101 Python Program to Find the Largest of Three Numbers

Lecture 102 Python Program to Check if a Number is Positive, Negative, or Zero

Lecture 103 Python Program to Check if a Number is Odd or Even

Lecture 104 Python Program to Calculate the Square Root

Lecture 105 Python Program to Generate a Random Number

Lecture 106 Python Program to Calculate the Area of a Triangle

Lecture 107 Python Program to Check if a Number is Prime

Lecture 108 Python Program to Find the Sum of Natural Numbers

Lecture 109 Python Program to Calculate the Factorial of a Number

Lecture 110 Python Program to Check Armstrong Number

Lecture 111 Python Program to Print Fibonacci Series

Lecture 112 Python Program to Check If a String is a Palindrome

Lecture 113 Python Program to Swap Two Variables With and Without a Temporary Variable

Section 19: Python NumPy

Lecture 114 NumPy Introduction

Lecture 115 NumPy Creating Arrays

Lecture 116 NumPy Array Indexing

Lecture 117 Slicing One-Dimensional Arrays in NumPy

Lecture 118 Slicing Two-Dimensional Arrays using NumPy

Lecture 119 NumPy Data Types

Lecture 120 NumPy Array Shape

Lecture 121 NumPy Array Reshape

Lecture 122 NumPy Iterating Arrays

Lecture 123 NumPy Joining Arrays

Lecture 124 NumPy Array Splitting

Lecture 125 NumPy Searching Arrays

Lecture 126 NumPy Sorting Arrays

Lecture 127 NumPy Filter Arrays

The programmer who want to learn Python programming faster in just 30 days.