Python Programming For Beginners From Basics To Advanced
Free Download Python Programming For Beginners From Basics To Advanced
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.09 GB | Duration: 19h 39m
Master Python Programming: Learn Syntax, Functions, OOP, and File Handling for Real-World Applications
What you'll learn
Understand Python syntax, variables, and data types to write basic programs
Implement control structures like loops and conditional statements
Build and utilize functions, including lambda functions, in Python
Apply object-oriented programming concepts like classes, inheritance, and polymorphism
Requirements
No prior programming experience required-perfect for beginners
Access to a computer with internet connection for coding exercises
Optional: Install Python and an IDE (e.g., PyCharm or Anaconda) or use Google Colab for online coding
Curiosity and a willingness to learn!
Description
Imagine this: You've always been curious about the world of technology and coding, but you've been hesitant to start. Maybe the jargon seemed overwhelming, or you felt like coding was only for those with an engineering background. But what if I told you that you could become proficient in Python, one of the most powerful and versatile programming languages in the world, without any prior experience?Now picture yourself, a few weeks from now, confidently writing your first Python program, automating tasks, analyzing data, or even building simple applications. You're the hero in this story-taking control of your learning journey, conquering new challenges, and equipping yourself with one of the most in-demand skills in today's tech-driven world.This course is designed to make you the hero of your coding adventure. Whether you're looking to start a new career, solve problems with technology, or simply satisfy your curiosity, this Python course will give you the skills you need. And the best part? No prior programming experience is required. All you need is a computer, access to the internet, and the willingness to learn and explore.What Will You Learn?By the end of this course, you will be able to:Master the basics of Python programming: Learn Python syntax, how to declare variables, use data types, and write simple programs.Work with control structures: Understand how to implement if-else statements, for loops, while loops, and other conditional logic to make your programs more dynamic.Create and use functions: Understand how to define and call functions, use parameters, and explore advanced topics like lambda functions.Understand object-oriented programming (OOP): Learn how to work with classes and objects, inheritance, polymorphism, and method overriding, making your code more efficient and reusable.Handle files: Discover how to open, read, write, and close files in Python, an essential skill for many real-world applications.Solve real-world problems: Use Python to automate repetitive tasks, manipulate data, and develop practical projects that you can apply in your personal or professional life.Why Python?Python is a high-level, versatile programming language known for its simplicity and readability, making it the perfect choice for beginners. It's also a favorite among developers, data scientists, and engineers due to its vast libraries and strong community support. Python powers everything from web development to data analysis, machine learning, and automation. So, whether you're aiming for a career in tech, looking to automate processes at work, or just want to explore programming for fun, Python is a great starting point.Who Is This Course For?This course is tailored for absolute beginners. You don't need any previous coding experience. It's ideal for:Students who want to develop coding skills for their studies or future careers.Professionals looking to upskill or transition into tech-related roles.Hobbyists or self-learners curious about programming and eager to solve problems using Python.Anyone who wants to learn how to automate tasks, analyze data, or develop web-based applications.What Tools Will You Use?In this course, you'll get hands-on experience using Python through:Google Colab: An easy-to-use, browser-based platform for writing and running Python code without installing anything on your computer.PyCharm or Anaconda: For those who prefer to set up a local Python environment, we'll walk you through the installation process and show you how to run Python code on your own machine.Jupyter Notebooks: For data analysis and visualization, a powerful tool commonly used by data scientists.Learning ApproachOur learning approach is centered around hands-on practice. Every lesson is followed by practical examples, quizzes, and coding challenges to help you reinforce what you've learned. As you progress through the course, you'll work on real-world projects that solidify your understanding and give you a portfolio of skills to showcase.Whether you're taking your first step into the world of programming or building on previous knowledge, this course will guide you through the essentials of Python in an easy-to-follow, structured way. The journey may be challenging at times, but with persistence and dedication, you'll find yourself mastering Python and unlocking new opportunities.Start Your Python JourneyYou are the hero of your own learning story. Don't let doubts or fear hold you back. Start today, and soon, you'll be navigating Python with confidence, solving problems, and perhaps even discovering a passion for coding you never knew you had.Are you ready to begin? Let's get started!
Overview
Section 1: Introduction to Python
Lecture 1 Get to Know Your Instructor
Lecture 2 What is Python? - Python Programming Language Explained
Lecture 3 Use of Python
Lecture 4 Python Code Execution
Lecture 5 Features of Python
Lecture 6 Queries Regarding Basics of Python
Section 2: Basic Building Blocks of Python
Lecture 7 Python Keywords and List of Keywords
Lecture 8 Indentation and Comments, Identifiers, Variables in Python
Lecture 9 Query Regarding Study Materials of Python
Section 3: Hands on Python Activity
Lecture 10 Using Print Statement in Python
Lecture 11 Issues Regarding PyCharm Installation
Lecture 12 Query Regarding Print Statement in Python
Lecture 13 How to Run Google Colaboratory
Lecture 14 More Queries Regarding Print Statement in Python
Lecture 15 Queries Regarding Anaconda Installation
Section 4: Using Variable in Python
Lecture 16 How to Store Value in Variable in Python
Lecture 17 Giving the Name of A Variable as A String
Lecture 18 What Double Quotes Around a Variable Do
Lecture 19 Queries Regarding Using Double Quotes Around a Variable
Lecture 20 Problem with Kernel/Connecting with Server
Lecture 21 Fixing the NameError in Jupyter Notebook
Lecture 22 Reviewing Some Activities Regarding Variable in Python
Section 5: Quick Overview on Basics of Python
Lecture 23 Uses of Python
Lecture 24 Features of Python
Lecture 25 Keywords, List of Keywords and Comments
Lecture 26 Python Identifiers and Variables
Lecture 27 Data Types in Python
Section 6: Working with Lists in Python
Lecture 28 How Python List Works
Lecture 29 How to Order Lists in Python
Lecture 30 List Slicing in Python
Lecture 31 Queries Regarding Python Lists
Lecture 32 Solving an Undefined Variable NameError in Python
Lecture 33 Fixing NameError Name is Not Defined
Section 7: Essential Python List Functions and Troubleshooting
Lecture 34 Using Python max() Function
Lecture 35 Fixing Unterminated String Literal in Python
Lecture 36 Issues Regarding Python Installation
Lecture 37 Issues Regarding Function of List
Section 8: Understanding and Troubleshooting Python Tuples
Lecture 38 What is Tuple?
Lecture 39 How do Tuples Work in Python
Lecture 40 Queries Regarding Python Tuple
Lecture 41 Issues Regarding Python Tuple
Section 9: Introduction to Python Data Types and Structures
Lecture 42 What You Have Learned So Far
Lecture 43 Different Python Datatypes
Lecture 44 Quick Overview on Python Tuple
Lecture 45 Introduction to Strings in Python
Section 10: Sets in Python : Everything You Need to Know About It
Lecture 46 What Are Python Sets
Lecture 47 Printing Set Variable
Lecture 48 How to Print with Example Syntax Command
Lecture 49 Understanding Google Colab Text color
Lecture 50 Queries Regarding Sets in Python
Lecture 51 Evaluating Assessments
Section 11: Mastering Python Dictionaries and Booleans
Lecture 52 Dictionary In Python Explained
Lecture 53 Creating Dictionary in Python
Lecture 54 Python Boolean Explained
Section 12: Operators in Python - Everything You Need to Know
Lecture 55 Introduction to Python Operators
Lecture 56 Using Addition, Subtraction, Multiplication, Division and Modulus Operators
Lecture 57 Using Comparison Operators
Lecture 58 Logical, Membership and Identity Operators
Lecture 59 Using Identity Operators in Python
Lecture 60 Queries Regarding Python Operators
Section 13: Getting Started with Conditional Statements in Python
Lecture 61 Introduction to Conditional Statements in Python
Lecture 62 Get to Know Your Instructor
Lecture 63 Decision Making Statements Explained
Lecture 64 Python If Statement Explained
Lecture 65 If...Elif....Else Statement in Python
Lecture 66 Assignments on Conditional Statements in Python
Section 14: Hands on Activity on Conditional Statements
Lecture 67 Using If Statement in Python
Lecture 68 Using If Else Statement in Python
Lecture 69 Using If...Elif...Else Statement in Python
Lecture 70 Checking If True or False Using Conditional Statement in Python
Lecture 71 Queries Regarding Checking If True or False Using Conditional Statement
Lecture 72 Comparing Two Numbers
Lecture 73 Queries Regarding Conditional Statements
Section 15: Handling User Input and Integrating Online Tools in Python
Lecture 74 Taking Integer Input in Python
Lecture 75 Using Authorization Flow in Python
Lecture 76 Using Another Online Tool to Run Python Code
Lecture 77 Queries Regarding Python input() Function
Section 16: Mastering Python Loops: For Loops and Beyond
Lecture 78 Types of Loops in Python
Lecture 79 Python For Loops Explained
Lecture 80 Calculating Table with Loop
Lecture 81 Flow Chart For Loop
Lecture 82 Queries Regarding For Loop
Section 17: Understanding and Using Python Loops and Break Statements
Lecture 83 Python While Loop Explained
Lecture 84 Python Break Statement with Flowchart
Lecture 85 Working of Break with For and While Loop
Section 18: Hands on Activity on Python Loops
Lecture 86 Printing Digits using For Loop
Lecture 87 Sum of Digits of a Number in Python
Lecture 88 Python Looping Through a Range
Lecture 89 Queries Regarding Looping Through a Range
Lecture 90 Using a Break Statement with For Loops
Lecture 91 Using If-Else Statements and While Loops in Python
Lecture 92 Queries Regarding Accessing the Resources
Section 19: Introduction to Python Functions: Basics and Syntax
Lecture 93 What You Have Learned So Far
Lecture 94 Making a "sub" Function
Lecture 95 What Is Function?
Lecture 96 Queries Regarding Basics of Function
Lecture 97 Creating a Function Syntax
Section 20: Defining and Calling a Function
Lecture 98 Defining Any Name in Python
Lecture 99 Defining Multiplication Function and Calling Sum Function in Print Statement
Lecture 100 Queries Regarding Defining Sum Function
Lecture 101 Creating Function Without Return Statement and Defining Square Number
Lecture 102 Evaluating Assessments
Section 21: Working with Parameters in Python Functions: Definition, Issues, and Assessment
Lecture 103 Using Parameters in Sum Function
Lecture 104 Defining Sum Function Using Parameters
Lecture 105 Issues Regarding Defining Sum Function Using Parameters
Lecture 106 Defining Name as Function and Printing The Hello Statement
Lecture 107 Queries Regarding Using Parameters in Function
Lecture 108 Evaluating Assessments
Section 22: Creating and Using Functions with Arguments in Python
Lecture 109 What You Have Learned So Far
Lecture 110 Creating a Function With Arguments
Lecture 111 Example on Creating a Function With Arguments
Section 23: Exploring Python Lambda Functions: Basics and Practical Applications
Lecture 112 What is Lambda Function in Python
Lecture 113 Adding 10 to Argument A and Returning The Result
Lecture 114 Queries Regarding Lambda Function
Lecture 115 Program to Filter Out Only The Even Items From The List
Lecture 116 Program to Filter Out Only The Odd Items From The List
Lecture 117 Program to Filter Out Numbers Which are Greater Than 60 Using Lambda Function
Section 24: Using Python Map, Local & Global Variables: Concepts and Examples
Lecture 118 Program to Double Each Item in a List Using Map
Lecture 119 Program to Add 10 to All The Values Using Map
Lecture 120 What is a Local and Global Variable in Python?
Lecture 121 Using Global Variable and Local Variable With the Same Name in Python
Lecture 122 What are The Applications of Global and Local Variables?
Lecture 123 Queries Regarding Global and Local Variables
Lecture 124 Query Regarding Filtering Even Numbers Using Lambda Function
Section 25: Introduction to Object-Oriented Programming in Python: Classes and Objects
Lecture 125 What You Have Learned So Far
Lecture 126 What is Object Oriented Programming
Lecture 127 Class in Python Explained
Lecture 128 Syntax and Object in Python
Lecture 129 Program to Demonstrate Class and Object Concept
Section 26: Troubleshooting Functions and Attributes in Python: Common Issues and Solutions
Lecture 130 Why a Function Could Not Be Executed in Python
Lecture 131 Why is Dot Operator Used in Python
Lecture 132 Can We Have More Than One Object For The Same Class in Python
Lecture 133 Query Regarding Display Function in Python
Lecture 134 Fixing AttributeError in Python
Section 27: Understanding and Implementing Constructors in Python
Lecture 135 What is A Constructor in Python
Lecture 136 Creating The Constructor in Python
Lecture 137 Counting The Number of Objects with Non Parameterized Constructor
Lecture 138 Fixing Invalid Syntax in Python SyntaxError
Lecture 139 Fixing Issues Regarding Counting The Number of Objects
Lecture 140 Short Recap on Object Oriented Programming and Python Constructor
Lecture 141 Query on Extracting The Object Values Using Map
Section 28: Exploring Inheritance in Python: Types and Examples
Lecture 142 Recap on What You Have Learned So Far
Lecture 143 What is an inheritance in Python
Lecture 144 Types of Inheritance in Python
Lecture 145 Single Inheritance in Python Explained
Lecture 146 Multilevel Inheritance in Python with Example
Lecture 147 Multilevel Inheritance in Python Explained
Section 29: Mastering Multiple Inheritance in Python: Concepts and Examples
Lecture 148 Multiple Inheritance in Python Explained
Lecture 149 Example of Multiple Inheritance in Python
Lecture 150 Queries Regarding Multiple Inheritance
Lecture 151 Fixing Errors Regarding Multiple Inheritance
Lecture 152 How to Use an Input() Function Within a Class in Python
Section 30: Understanding and Implementing Method Overriding in Python
Lecture 153 Method Overriding in Python Explained
Lecture 154 Real Life Example Method Overriding
Lecture 155 Query on Method Overriding
Lecture 156 Use of Python super() Function
Section 31: Overview on What You Have Learned So Far
Lecture 157 Problems Regarding Practice Codes
Lecture 158 Basics Of Python
Lecture 159 Class and Object in Python
Lecture 160 Creating The Constructor in Python
Lecture 161 Types of Inheritance in Python
Lecture 162 Method Overriding Explained
Lecture 163 Queries on Object Oriented Programming
Lecture 164 Additional Queries on Object Oriented Programming
Section 32: Understanding Polymorphism in Python: Concepts and Examples
Lecture 165 What is Polymorphism in Python
Lecture 166 Polymorphism in len() Function in Python
Section 33: File Handling in Python: Functions, Queries, and Applications
Lecture 167 Python File Open Function
Lecture 168 How to Open and Close a File in Python
Lecture 169 Queries on Python Open File Function
Lecture 170 Why Visual Studio Code is Used
Lecture 171 Queries Regarding Commands Used for File Handling in Python
Lecture 172 Can Python be Used for Data Analysis?
Lecture 173 What Is Python Used For?
This course is designed for beginners with no prior coding experience who want to learn Python from scratch. It's also ideal for students, professionals, and hobbyists interested in developing their programming skills for data analysis, automation, web development, or any field that requires coding knowledge. Additionally, anyone looking to transition into tech or enhance their problem-solving and logical thinking abilities will find this course valuable.
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