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    SpicyMags.xyz

    Python for Everyone - The Crown Course for Coding Mastery

    Posted By: lucky_aut
    Python for Everyone - The Crown Course for Coding Mastery

    Python for Everyone - The Crown Course for Coding Mastery
    Duration: 9h 9m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 4.27 GB
    Genre: eLearning | Language: English

    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

    Description:
    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

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

    More Info