What you'll learn
Learners Will Learn to Code Effectively in Python
Basic Concepts of Python Programming
Decision Making, Looping Constructs, Functions
Pythonic Data Structures and Pythonic Way of Writing Code

Requirements
Basic knowledge of how computers work
How to install a new software
Any Terminal ( Zsh Macbook ), ( Bash Linux ) or ( Cmd Windows )
Curiosity to Learn

Description
Welcome to "Python 3 for Beginners | Step by Step Course" – your launchpad to the world of programming using Python 3! Whether you're a complete beginner or looking to refresh your skills, this comprehensive course is designed to guide you through the essentials of Python, one of the most popular and versatile programming languages today.What You'll Learn:Python Basics: Dive into the foundational concepts of Python, from setting up your development environment to writing and executing your first Python script.Data Structures: Explore Python's built-in data types, lists, dictionaries, tuples, and sets, and understand when and how to use them.Flow Control: Master the art of controlling your code's execution with loops, conditions, and exception handling.Functions & Modules: Learn to write reusable code using functions, Object-Oriented Programming (OOP): Grasp the principles of OOP in Python, and understand classes, objects, inheritance, and more.Who This Course Is For:Absolute beginners with no prior experience in programming.Individuals who know other programming languages but are new to Python.Anyone looking to solidify their foundational knowledge in Python 3.Course Features:6 hours of on-demand video lectures.Interactive quizzes and coding challenges.Downloadable resources and cheat sheets.Certificate of completion.Supportive community and Q&A sections for course-related help.By the end of this course, you'll have a solid grasp of Python 3, and you'll be ready to tackle more advanced topics or even start your own projects. Begin your Python journey with confidence and clarity. Enroll today!

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 How to work through this course?

Section 2: Run Python Online

Lecture 3 Run python with online IDEs

Section 3: Executing Python Code

Lecture 4 Introduction to the Interpreter

Lecture 5 Executing a Script or Python Code File

Lecture 6 Installing Python 3rd Party Packages

Section 4: Basic Understanding of Git and Github

Lecture 7 Git and Github

Lecture 8 Setup Git Repository for Course

Section 5: Basic Data Types

Lecture 9 variables and variable assignment revisited

Lecture 10 Simple DataTypes in Python

Lecture 11 TypeCasting

Lecture 12 Reading User Input in Python

Lecture 13 Operations on Strings

Lecture 14 Datetime

Section 6: Small But Relevant Topics

Lecture 15 Line Joining ( Implicit, Explicit ) in Python Code

Lecture 16 Comments in Python

Lecture 17 Reserved Keywords in Python

Lecture 18 Built-ins in Python

Section 7: Control Flow

Lecture 19 Program components and indentation

Lecture 20 Simple-If

Lecture 21 If-Else

Lecture 22 If-Elif-Else

Lecture 23 Multiple-Elif-Conditions

Lecture 24 Nested-If-Else Conditions

Lecture 25 Logical. Operators

Lecture 26 While Loops in Python

Lecture 27 Continue and Break Statement

Lecture 28 While Else

Lecture 29 Exercise :: Number Guessing Game

Lecture 30 For Loops in Python

Lecture 31 for else

Section 8: functions in Python

Lecture 32 Function Syntax

Lecture 33 Functions | Examples

Lecture 34 Empty Function with Pass

Lecture 35 Commonly Used Built-in Functions

Lecture 36 Functions as First Class Citizens

Section 9: Built in Data Containers

Lecture 37 Lists

Lecture 38 List Comprehensions

Lecture 39 Operations on Lists

Lecture 40 List Methods

Section 10: Built in Data Containers "Dictionaries"

Lecture 41 Dictionaries

Lecture 42 Dictionary comprehensions

Lecture 43 Dictionary Operations

Lecture 44 Dictionary Methods

Section 11: Tuples

Lecture 45 Tuples

Lecture 46 Tuple Operations

Lecture 47 Tuple Methods

Section 12: Sets

Lecture 48 Sets Introduction

Lecture 49 Operations on Sets

Section 13: TypeCasting on Data Containers

Lecture 50 Brief about Enumerate Function

Lecture 51 Type Casting Pythonic Data Containers

Lecture 52 lambda functions

Section 14: Introduction to Object Oriented Programming

Lecture 53 Classes as Blueprints

Lecture 54 Creating Objects

Lecture 55 Private Members

Lecture 56 Inheritance

Section 15: Thank You & Next Steps

Lecture 57 Thank You and Next Steps

Beginners with Timelines in Mind,Programming Beginners Looking to Learn Python,Programmers With Knowledge of Other Programming Languages Seeking to Learn Python,Developers Planning a Career Move to Data Science, AI or Generative AI

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