Python Beginner To Expert (2022)

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Learn all aspects of python programming

What you’ll learn
All aspects of python for an IT Job
Become a Python Expert
Doing all operations with python Data Structures
Writing code with Object Oriented Programming (OOPs) in python
Ability to use built-in and third party packages of python and do coding in less time
Doing DataBase Operations With Python
Coding without the need of searching things in the internet
Doing Data analysis with Pandas
Requirements
Have python version 3 installed
No programming experience needed. You will learn everything you need to know.
Description
Learn Python In The Best Way .A course to make you completely familiar with PythonBecome a python programmer and learn all python skills needed for the IT job.Complete the course and crack the python interviews and get placed with good salary.The course is 10 hours long and built in such a way that once you complete the course you will no longer need to search the internet for python related stuffs. Because everything is covered in this course for you. Chapters and Contents1. Control Flow Statements : Learn what are control flow statements and loops. Do sample programs with loops and control flow statements.2. Lists : All operations on python lists3. Strings : All operations on strings and string formatting4. Dictionary : All operations on dictionary5. Tuple : All tuple operations6. Set : All set operations 7. Functions Writing and calling python functions Type of functions in python lambda functions User defined vs built-in functions 8. Object oriented programming (OOPs)Creating classesInheritanceTypes of inheritanceMethod overriding9. Exception handlingWhat are exceptionsHandling exceptionsChecking for multiple exceptionsCreating our own exception10. Modules and packages and librariesWhat is a module,package,and libraryBuilt-in vs User defined modulesBuilt in modules in detail11. Date and time operationsDate and time operations using datetime module12. File operationsAll file operations – reading ,writing, appending 13. Iterators and Generators14. Regular Expressions -RegexHow to use regex in python – re moduleregex practical applications – finding email,phone numbers and other values from strings15. Python and CSV FilesReading data from CSV FilesWriting data to the CSV File16. Python pandas – widely used library for data analysisCreating dataframeAll operations on dataframereading and writing to csv and exceldata analysis operations17. Python and MySql Create databaseadd data to tableread , update and delete data from database table.

Overview

Section 1: Python Data Types , Variables , Basics

Lecture 1 Python Data Types

Lecture 2 Variable Creation

Lecture 3 Additional Information In Creating Variables

Lecture 4 Type Casting

Lecture 5 Indentation In Python

Lecture 6 Adding Comments

Section 2: Control Flow Statements

Lecture 7 Control Flow Statements – Introduction

Lecture 8 If ,elif ,else statements

Lecture 9 Nested If

Lecture 10 Operators Used With Control Flow Statements

Lecture 11 Not and In operator

Lecture 12 Loops Introduction

Lecture 13 For Loop In Python

Lecture 14 For Loop Exercises

Lecture 15 Nested For Loop

Lecture 16 While Loop In Python

Lecture 17 Continue ,Pass, Break Statements

Lecture 18 Else Statement With The Loops

Section 3: Strings in Python

Lecture 19 Introduction to strings.

Lecture 20 String negative index, Concatination, Multiplication

Lecture 21 Special characters in string, Raw strings, String class

Lecture 22 String functions for string operations part 1

Lecture 23 String functions part2

Lecture 24 String functions part 3

Lecture 25 String slicing

Lecture 26 String formating

Section 4: Lists in Python

Lecture 27 List Introduction

Lecture 28 Looping Through List Items

Lecture 29 Adding Elements To The List

Lecture 30 Deleting Elements From The List

Lecture 31 List Slicing

Lecture 32 Nested Lists

Lecture 33 List Comprehension

Lecture 34 Sorting And Copying List

Lecture 35 List Sample Program

Lecture 36 Occurrence of items , reverse and repeat the list

Section 5: Sets In Python

Lecture 37 Sets Introduction

Lecture 38 Add elements to the set

Lecture 39 Deleting Items From the Set

Lecture 40 Set Operations

Lecture 41 Set Methods

Section 6: Dictionary In Python

Lecture 42 Dictionary Introduction

Lecture 43 Accessing Items From The Dictionary

Lecture 44 Add Items To Dictionary And Replace Items

Lecture 45 Check if items in dictionary , length of dictionary

Lecture 46 Deleting items from the dictionary

Lecture 47 Dictionary Comprehensions

Section 7: Tuple In Python

Lecture 48 Tuple Introduction

Lecture 49 Acess items from the tuple

Lecture 50 Unpacking items from the tuple

Lecture 51 Tuple methods , adding and multiplying tuples

Section 8: Functions In Python

Lecture 52 Function Introduction

Lecture 53 Creating Functions In Python

Lecture 54 Function Call – Points To Remember

Lecture 55 Function Types – Function With Default Argument

Lecture 56 Functions With Keyword Arguments

Lecture 57 Functions With Arbitrary Arguments

Lecture 58 Functions With Arbitrary Keyword Arguments

Lecture 59 Lambda Functions In Python

Lecture 60 Lambda Functions Uses

Lecture 61 Built In Functions Vs User Defined Functions

Lecture 62 Writing functions that prints the star patterns

Lecture 63 Functions For Calculating Factorial Of A number And Printing Fibonacci Series

Lecture 64 Returning Function From Another Function

Section 9: Object Oriented Programming (OOPS) In Python

Lecture 65 OOPs Introduction

Lecture 66 Creating Class and Objects

Lecture 67 __init__ Method In The Class

Lecture 68 Instance vs Class Variables

Lecture 69 Working WIth Attributes Of The Class

Lecture 70 Class Example 2

Lecture 71 Inheritance In Python

Lecture 72 Static Variables In Class

Lecture 73 Static Methods In Class

Lecture 74 Method Overriding

Lecture 75 Multiple Inheritance

Lecture 76 Super() method

Lecture 77 Multilevel Inheritance

Section 10: Exception Handling In Python

Lecture 78 What is exception ?

Lecture 79 What is Exception Handling ?

Lecture 80 Checking for multiple exceptions

Lecture 81 Finally in exception handling

Lecture 82 User defined exceptions :creating our own exceptions

Lecture 83 Functions and exceptions

Section 11: Modules ,Packages and Library

Lecture 84 What is module and types of modules

Lecture 85 Ways to import things from a module

Lecture 86 random module – for random numbers

Lecture 87 os module – operating system module

Lecture 88 math module

Lecture 89 What Is Package ?

Lecture 90 PyPi, pip, Third Party Modules

Section 12: Date Operations In Python

Lecture 91 datetime Module Introduction

Lecture 92 date class operations

Lecture 93 datetime class operations

Lecture 94 time class operations

Lecture 95 timedelta class operations

Lecture 96 pytz module and utc time

Lecture 97 formatting datetime objects

Lecture 98 codes to be used with strftime()

Lecture 99 converting string to datetime objects

Section 13: File Operations

Lecture 100 Python File Operations Intro

Lecture 101 File operations modes

Lecture 102 File Read and ReadLine methods

Section 14: Iterators And Generators In Python

Lecture 103 What Is Iterator And Generator ?

Section 15: Regular Expressions In Python – Regex

Lecture 104 What is Regex ?

Lecture 105 Regex findall method

Lecture 106 Regex – Practical Applications

Section 16: Python And CSV Files

Lecture 107 Reading Data From The CSV File

Lecture 108 Writing Data To The CSV File

Lecture 109 DictWriter() method

Section 17: Python Pandas – Widely Used Python Library For Data Analysis

Lecture 110 Creating First DataFrame

Lecture 111 Creating DataFrame From Nested List And Dictionary

Lecture 112 Adding Columns And Rows To DataFrame

Lecture 113 Deleting Rows And Columns From The DataFrame

Lecture 114 DataFrame Attributes

Lecture 115 DataFrame Functions

Lecture 116 DataFrame Grouping

Lecture 117 DataFrame loc,iloc Methods

Lecture 118 DataFrame Filtering Data Based On Conditions

Lecture 119 Converting DataFrame To Dictionary And HTML File

Lecture 120 DataFrame To CSV ,CSV To DataFrame

Lecture 121 Data Cleaning

Section 18: Python And MySQL – CRUD Operations

Lecture 122 MySQL Introduction

Lecture 123 Creating Table In MySQL

Lecture 124 Inserting Data To The Table

Lecture 125 Reading Data From The Table

Lecture 126 Updating And Deleting Data From The Table

Beginners trying to become a developer in python.,Those who wants to learn all aspects of python programming,Developers trying to switch to the python world,Students from school or college who wants to learn python from scratch.

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