Python Masterclass - The Complete Guide 2024

Learn Python Programming language from basics to advanced level with ton of examples

What you'll learn

Learn Python fundamentals, download and install Python and PyCharm IDE

Learn Python concepts with tons of examples

Learn Python Data types, Operators

Learn Python Statements, Flow control

Requirements

No prior programming experience required, just access to a computer with good internet connection.

Description

Learn Python programming with hands on experience. We will walk you step-by-step instructions on how to download and install Python/PyCharm IDE, various fundamental concepts of Python programming. You will develop new skills and improve your understanding of all the concepts.We will cover the following topics:Python introduction, installation and setupPython indentation, comments, escape characters and constantsPython flow control - if statement, else statement, for loop, while loopPython pattern programs using loopsPython datatypes - int, float, complex, bool, str, range, list, tuple, set, frozenset, dict, bytes, bytearray, NonePython operators - Arithmetic, Relational, Equality, Logical, Bitwise, Assignment, Ternary, SpecialPython statements - Input and output statementsAnd many more..You will get lifetime access and more to come.This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back. This course is designed to give you the Python skills you need to get a job as a software engineer or a developer.  By the end of the course, you will understand Python so well and be able to build your own Python applications.After going through this course, several students have got enough knowledge to get their first job or promote to the next level in their career.Each concept is explained with practical examples to better understand the theory. This is the course to advance your career and gain the knowledge required for absolute beginners. So, what are you waiting for? Go ahead and enroll..Happy learning!!

Overview

Section 1: Python Introduction, Installation and Setup

Lecture 1 Prerequisites to learn Python

Lecture 2 Download and install Python, execute first Python program

Lecture 3 Download and install PyCharm, execute first Python program

Lecture 4 What is Python

Lecture 5 Where do we use Python

Lecture 6 Python History

Lecture 7 Why is Python popular

Lecture 8 Python is simple and easy to read

Lecture 9 Python is dynamically typed programming language

Lecture 10 Python is platform independent

Lecture 11 Python is portable

Lecture 12 Python is High-level programming language

Lecture 13 Python is Freeware and Open Source Software (FOSS)

Lecture 14 Python is Procedure oriented and object oriented

Lecture 15 Python is Interpreted programming language

Lecture 16 Python is Extensible

Lecture 17 Python is Embedded

Lecture 18 Python has Extensive library support

Lecture 19 Limitations of Python

Lecture 20 Python versions backward compatibility

Section 2: Python Indentation and comments, Escape characters, Constants and Identifiers

Lecture 21 Indentation and comments in Python

Lecture 22 Escape characters in Python

Lecture 23 Python Constants

Lecture 24 Python Identifiers

Section 3: Python Flow control

Lecture 25 Flow control Introduction

Lecture 26 Conditional or selection statements - if, if-else, if-elif-else, if-elif

Lecture 27 Iterative statements or loops - for loop and while loop

Lecture 28 Loops example 1: Program to display stars in a given row

Lecture 29 Loops example 2: Program to display square pattern with stars

Lecture 30 Loops example 3: Program to display square pattern with fixed number

Lecture 31 Loops example 4: Program to display square pattern with fixed alphabet

Lecture 32 Loops example 5: Program to display square pattern with given number

Lecture 33 Loops example 6: Program to display square pattern with fixed number in each row

Lecture 34 Loops example7:Program to display square pattern with fixed alphabet in each row

Lecture 35 Loops example 8: Program to display square pattern with numbers in each row

Lecture 36 Loops example 9: Display square pattern with numbers in descending order

Lecture 37 Loops example 10: Program to display right angle triangle with stars

Lecture 38 Loops example 11: Display right angle triangle with numbers in descending order

Lecture 39 Loops example 12: Program to display pyramid pattern with stars

Lecture 40 Transfer statements - break, continue

Lecture 41 Loops with else block - for-else, while-else

Lecture 42 pass and del keywords

Section 4: Python Data types

Lecture 43 Data Types Introduction

Lecture 44 ‘int’ data type

Lecture 45 ‘float’ data type

Lecture 46 ‘complex’ data type

Lecture 47 ‘bool’ data type

Lecture 48 ‘str’ datatype

Lecture 49 ‘str’ datatype – access elements of a string using 'index'

Lecture 50 ‘str’ datatype – slice operator

Lecture 51 ‘str’ datatype – mathematical operations on a string

Lecture 52 ‘str’ datatype – comparison operators on a string

Lecture 53 ‘str’ datatype – remove space from a string

Lecture 54 ‘str’ datatype – find 'substring' from a given string

Lecture 55 ‘str’ datatype – example 1 : reverse a given string

Lecture 56 ‘str’ datatype – example 2 : reverse order of words in a given string

Lecture 57 ‘str’ datatype – example 3 : reverse internal content of words in a given string

Lecture 58 ‘str’ datatype – example 4 :get characters at even and odd positions in a string

Lecture 59 ‘str’ datatype – example 5 : print a string by merging characters of two strings

Lecture 60 ‘str’ datatype – example 6 : sort characters present in a given string

Lecture 61 ‘str’ datatype – example 7 : string as alphabet times digit

Lecture 62 ‘str’ datatype– eg8:string as alphabet followed by digit char from that alphabet

Lecture 63 ‘str’ datatype – example 9 : remove duplicate characters from a given string

Lecture 64 ‘str’ datatype – eg10: find the number of occurrences of each character present

Lecture 65 ‘str’ datatype – example 11 : Find if a string is Palindrome

Lecture 66 difference between str() and repr()

Lecture 67 Type casting or coercion

Lecture 68 Immutability

Lecture 69 ‘range’ data type

Lecture 70 ‘list’ data type Introduction

Lecture 71 ‘list’ data type – Ways of creating a list

Lecture 72 ‘list’ data type – Traverse elements of a list

Lecture 73 ‘list’ data type – List API - functions of list

Lecture 74 ‘list’ data type – Mathematical operations on a list

Lecture 75 ‘list’ data type – Nested lists

Lecture 76 ‘list’ data type – list comprehension

Lecture 77 ‘tuple’ data type Introduction

Lecture 78 ‘tuple’ data type – Ways of creating a tuple

Lecture 79 ‘tuple’ data type - Mathematical operations on a tuple

Lecture 80 ‘tuple’ data type – Tuple API - functions of tuple

Lecture 81 ‘tuple’ data type – tuple packing and unpacking

Lecture 82 ‘tuple’ data type – tuple comprehension

Lecture 83 ‘tuple’ data type – print sum and average of a tuple of numbers

Lecture 84 difference between ‘tuple’ and ‘list’ datatypes

Lecture 85 ‘set’ data type Introduction

Lecture 86 ‘set’ data type – Ways of creating a set

Lecture 87 ‘set’ data type – Set API - functions of set

Lecture 88 ‘set’ data type - Mathematical operations on a set

Lecture 89 ‘set’ data type – set comprehension

Lecture 90 ‘set’ data type – remove duplicates present in a list w/ and w/o using set

Lecture 91 ‘set’ data type – print different vowels present in a given word using set

Lecture 92 difference between ‘list’ and ‘set’ datatypes

Lecture 93 ‘frozenset’ data type

Lecture 94 ‘dict’ data type Introduction

Lecture 95 ‘dict’ data type - demonstrate with an example

Lecture 96 ‘dict’ data type – Dict API - functions of dict

Lecture 97 ‘dict’ data type – sum of dict values

Lecture 98 ‘dict’ data type – number of occurrences of characters in a string using dict

Lecture 99 ‘dict’ data type – number of occurrences of vowels in a string using dict

Lecture 100 ‘dict’ data type – sample application on how to apply dict functions

Lecture 101 ‘dict’ data type – dict comprehension

Lecture 102 Merge collections - list, tuple, set, dict

Lecture 103 Nested collection

Lecture 104 Nested collection application

Lecture 105 ‘bytes’ data type

Lecture 106 ‘bytearray’ data type

Lecture 107 ‘None’ data type

Section 5: Python Operators

Lecture 108 Operators Introduction

Lecture 109 Arithmetic operators +, -, *, /, %, //, **

Lecture 110 Relational operators <, <=, >, >=

Lecture 111 Equality operators ==, !=

Lecture 112 Logical operators - and, or, not

Lecture 113 Assignment operators =, +=, -=, *=, /=, %=, //=, **=, &=, |=, ^=, >>=, <<=

Lecture 114 Ternary operator

Lecture 115 Special operators - Identity and membership operators

Lecture 116 Operator precedence

Lecture 117 Walrus operator or Assignment Expressions

Section 6: Python Statements

Lecture 118 Input Statements Demo

Lecture 119 Input statements-Sum Of Two Numbers Using Input and refactor

Lecture 120 Input statements-Print Employee Data Using Input and refactor

Lecture 121 Input statements-eval function demo

Lecture 122 Input statements-read multiple values

Lecture 123 Input statements – Command Line Arguments

Lecture 124 Output statements

Absolute beginners who have never programmed before or trying to switch from other languages to Python