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Tutorials [udemy] Python for Everyone - The Crown Course for Coding Mastery

Ronaldo99

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[udemy] Python for Everyone - The Crown Course for Coding Mastery
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre:
eLearning | Language: English | Duration: 57 lectures (9h 9m) | Size: 4.3 GB


Computer Programming using Python from beginner to advanced.
A complete coding mastery bootcamp from zero to hero 2022.



What you'll learn
You will learn Python from Beginner to advanced.
You will learn to use python for computer programming and Application Development
You will learn a method to come up with logics to solve any programming task.
You will learn how python is used to develop all the modern applications
Learn to use Python professionally, learning Python 3!
Possess the skills and understanding of Python to confidently apply for Python programming jobs
Learn Object-oriented Programming using python
Get familiar with Data Structures using Python


Requirements
Desktop or Laptop needed
Internet Connection
Understand English Language

Be the King/Queen in Python. Learn from Basics to Advanced. Learn the thinking process for programming and code with ease. This course helps you to be an exemplar in the programming Industry and have a great career flow with newly equipped python skills and improved logical thinking ability.

Python for everyone - The Crown Course for Coding Mastery

Curriculum

Section 1: Introduction

Lecture 1

Introduction to Programming

(Preview enabled)

Lecture 2

Introduction to Python

Section 2: Python Basics

Lecture 3

Notebooks

(Preview enabled)

Lecture 4

Hello World! - Python Printing

Lecture 5

Formatted Printing in Python

Lecture 6

More Formatting & More Printing

Lecture 7

Variables

Lecture 8

Multiple Variable Handling

Lecture 9

DataTypes

Lecture 10

Type Casting

Section 3: String Handling and DataTypes

Lecture 11

Strings

Lecture 12

String Slicing

Lecture 13

String In-built Functions & Concatenation

Lecture 14

Data Types - Lists & Tuples

Lecture 15

Lists - Inbuilt functions & other operations

Lecture 16

List and Tuple Functionalities

Lecture 17

Sets

Lecture 18

Dictionaries

Section 4: Conditionals and Loops

Lecture 19

If-else

Lecture 20

Ternary and Conditional Operators

Lecture 21

Loops

Lecture 22

Nested Loops & Pattern Programs

Lecture 23

Python Star Pattern Programs

Lecture 24

Star Pyramid Pattern Program

Lecture 25

Number Pyramid patterns

Lecture 26

End of Pattern Programs (Rhombus/Parallelogram), Loops

Section 5: Functions

Lecture 27

In-Built Functions

Lecture 28

Functions and Parameters

Lecture 29

Recursive Functions

Lecture 30

Lambda Functions

Section 6: Classes, Objects, & Inheritance

Lecture 31

Classes intro

Lecture 32

Objects

Lecture 33

Functions in Classes

Lecture 34

Self Key Word - Classes

Lecture 35

Python Classes Vehicle Class Example Program

Lecture 36

Intro to Inheritance

Lecture 37

Constructor and Super Inheritance

Lecture 38

Hierarchical Inheritance in python

Lecture 39

Multi-Level Inheritance

Lecture 40

Multiple Inheritance

Lecture 41

Hybrid Inheritance

Section 7: Packages - Numpy, Matplotlib, Pandas, Scipy, Modules

Lecture 42

Intro to NumPy & Broadcasting

Lecture 43

NumPy Arrays & Matrices

Lecture 44

Matrix Properties

Lecture 45

Pandas - DataFrames

Lecture 46

Data Cleaning using Pandas

Lecture 47

Matplotlib - Line Plot, Bar Plot, and Scatter Plot

Lecture 48

Matplotlib - Histograms, and Pie Charts

Lecture 49

SciPy Package

Lecture 50

Modules

Lecture 51

Modules & User Defined functions, packages

Lecture 52

Classes in Modules

Section 8:Data Structures

Lecture 53

Creation of a Linked List

Lecture 54

Traversing a Linked List

Lecture 55

Inserting at the beginning of the Linked List

Lecture 56

Inserting at the end of the Linked List

Lecture 57

Insert in between two nodes in a Linked List

Happy Learning!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

Who this course is for
Humans or Bots interested to learn programming using python.

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THADEADMAN

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someone was askin me about this thanx
 

mikal_s

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Thank you @Ronaldo99 for the upload
 
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thank you so much for this upload!
 

Lsd65

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Thanks a lot @Ronaldo99 for this exellent upload
 
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