Learn Python3 From Scratch To Advanced Level 2023

Mastering Python3 with Hands-on Approach 2023 | Python3 Zero to Hero in 6 Hours

What you'll learn

Introduction to Python

Data Structures in Detail

File Handling in Python

Loops, Conditional Statements and Program Flow

Object Oriented Programming

Functions in Python

Requirements

No Programming Experience of any kind needed

Passion to Learn Coding

Description

Uncover the power of programming with our comprehensive course, "Python for Absolute Beginners." Designed specifically for those with no prior coding experience, this course is your launchpad into the world of programming using Python, one of the most versatile and widely-used languages in today's tech industry.Start from scratch and gradually build up your Python proficiency with clear, step-by-step instructions on everything from basic syntax and expressions to advanced concepts like Object-Oriented Programming (OOP). Our meticulously designed curriculum covers:Python Basics: Begin your journey by learning the fundamentals of Python, setting a strong foundation for your future in programming.Expressions in Python: Discover how to create and manipulate Python expressions to solve complex problems.Conditional Statements in Python: Learn to control the flow of your Python programs with conditional statements.Functions in Python: Enhance the reusability of your code by building your own functions in Python.Loops in Python: Gain efficiency in your programming with Python loops, perfect for handling repetitive tasks.Strings in Python: Understand how to manipulate text using Python's powerful string-handling capabilities.File Processing: Learn to read, write, and manage files in Python, a crucial skill for many programming tasks.Lists in Python: Explore Python lists, a versatile data structure for organizing and manipulating data.Dictionaries in Python: Master Python dictionaries to store and retrieve data in an efficient and intuitive way.Tuples in Python: Discover when and why to use tuples, an immutable data type in Python.Object-Oriented Programming: Dive into the world of OOP, a key paradigm that organizes code into objects and classes for efficient problem-solving.Whether your goal is to pursue a career in data science, web development, AI, or simply to gain valuable skills in today's digital age, this course will guide you toward coding proficiency. By the end of this journey, you'll be able to write Python programs with confidence, solve real-world problems, and continue on more advanced topics with a solid foundation.Step into the empowering world of Python programming. Enroll now!______________________________________________Python, Beginners, Programming, Expressions, Conditional Statements, Functions, Loops, Strings, File Processing, Lists, Dictionaries, Tuples, Object-Oriented Programming, Coding, Data Science, Web Development, AI, Digital Skills, Udemy Courses, Online Learning.

Overview

Section 1: Introduction & Basics of Python

Lecture 1 Introduction

Lecture 2 Gearing Up Computer For Python

Lecture 3 Integrating Git bash with Vscode

Lecture 4 Running Python Programs

Lecture 5 Program Structure

Lecture 6 Variable and reserved words in Python

Section 2: Expressions in Python

Lecture 7 Variables vs Constants in Python

Lecture 8 Rules for Variable Names

Lecture 9 Assignment Statements in Python

Lecture 10 Numeric Operators in Python

Lecture 11 Order of Evaluation

Lecture 12 Order of Evaluation Practical

Lecture 13 Comments in Python

Lecture 14 Making First Python Program

Lecture 15 Exercise (Question)

Lecture 16 Exercise Solution

Section 3: Conditional Statements in Python

Lecture 17 Comparison Operators

Lecture 18 Indentation in Python

Lecture 19 More Conditional Execution Patterns

Lecture 20 Try Except Structure

Lecture 21 Exercise Try and Except

Lecture 22 Exercise Solution

Section 4: Functions in Python

Lecture 23 Functions in Python

Lecture 24 Practical Functions

Lecture 25 Type Casting Using Functions

Lecture 26 Type Casting Practical

Lecture 27 Building our own Functions

Lecture 28 Arguments in Python

Lecture 29 Return Values in Python

Section 5: Loops in Python

Lecture 30 Introduction to Loops

Lecture 31 Use Break Statements

Lecture 32 Use of Continue Statement

Lecture 33 Difference Between Break & Continue Statement

Lecture 34 Indefinite Loops in Python

Lecture 35 How Loops Works in Python

Lecture 36 How Loops Work Practically

Lecture 37 Loop Operation Counting

Lecture 38 Loop Operations Summing

Lecture 39 Counting in Loops

Lecture 40 040 Summing and Average Using Loops in Python

Section 6: Strings in Python

Lecture 41 Introduction to Strings

Lecture 42 Indexing in the String

Lecture 43 Length of a String

Lecture 44 Looping through a String

Lecture 45 String Slicing

Lecture 46 Using 'in' as a Logical Operator

Lecture 47 Introduction to String Library

Lecture 48 Searching through a String

Lecture 49 Search and Replace in Strings

Lecture 50 Stripping Spaces from Strings

Lecture 51 Prefixes in Python

Lecture 52 String Parsing and Extraction

Section 7: File Processing in Python

Lecture 53 Opening Files in Python

Lecture 54 File Handling in Python

Lecture 55 055 Extracting Lines by Prefixes

Lecture 56 File Processing Project

Section 8: Lists in Python

Lecture 57 Introduction to Lists

Lecture 58 Loops & Index Numbers in Lists

Lecture 59 Mutable Lists in Python

Lecture 60 Length of a List in Python

Lecture 61 Range Function in Python

Lecture 62 List Concatenation in Python

Lecture 63 List Slicing in Python

Lecture 64 Building Lists from Scratch

Lecture 65 Searching in a List

Lecture 66 String Splitting in Python

Lecture 67 The Project: Double Splitting Patterns in Python

Section 9: Dictionaries in Python

Lecture 68 Introduction to Dictionaries

Lecture 69 Dictionaries Vs Lists

Lecture 70 Word Count in Dictionaries

Lecture 71 Traceback Errors for the Absentees in Dictionaries

Lecture 72 Get Method

Lecture 73 Counting Patterns

Lecture 74 Using Definite Loops for Dictionaries

Lecture 75 Retrieving Keys and Values in Dictionaries

Lecture 76 The Project: Extracting and Counting Words From a Text Files

Section 10: Tuples in Python

Lecture 77 Introduction to Tuples

Lecture 78 Updating Tuples in Python

Lecture 79 Basic Operations in Tuples

Lecture 80 Indexing and Slicing of Tuples

Section 11: Object Oriented Programming

Lecture 81 Class vs Object in OOP

Lecture 82 Classes and Methods in Python

Lecture 83 Init Method & Constructor in Python

Lecture 84 Constructor, Self and Comparing Objects

Lecture 85 Instance Class & Static Methods in Python

Lecture 86 Inner Classes in Python

Lecture 87 Inheritance in OOP

Lecture 88 Constructor in Inheritance

Lecture 89 Duck Typing in OOP

Lecture 90 Operator Overloading in OOP

Lecture 91 Method Overloading

Lecture 92 Method Overriding

Absolute Beginners curious about Python,Intermediate Programmers who want to switch to Python