Learn Python Programming Masterclass_2

Learn Python Programming Masterclass, available at $19.99, has an average rating of 4.45, with 171 lectures, 12 quizzes, based on 51 reviews, and has 473 subscribers.

You will learn about Learn Python from Zero to Hero. Fundamental understanding of the Python programming. Learn to use Python professionally, learning both Python 2 and Python 3. Learn advanced Python features, like collections, modules. Learning all the basic topics, like conditional statements, looping, advanced operators Understand how to use Data Structures, like Lists, Tuple, Set and Dictionary. Get an understanding of how to create GUIs. Developing 6 major projects including Face Recognition, Automate Weather Forecast and many such interesting projects. Learn how to use Object Oriented Programming with classes. Understand how to execute the .py programs with ATOM and Visual Studio. Course includes Python Cheat Sheet This course is ideal for individuals who are Beginners who have never programmed before. or Programmers who are switching other programming languages to Python. or Programmers who want to level up their skills. It is particularly useful for Beginners who have never programmed before. or Programmers who are switching other programming languages to Python. or Programmers who want to level up their skills.

Enroll now: Learn Python Programming Masterclass

Summary

Title: Learn Python Programming Masterclass

Price: $19.99

Average Rating: 4.45

Number of Lectures: 171

Number of Quizzes: 12

Number of Published Lectures: 171

Number of Published Quizzes: 12

Number of Curriculum Items: 183

Number of Published Curriculum Objects: 183

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Python from Zero to Hero.

Fundamental understanding of the Python programming.

Learn to use Python professionally, learning both Python 2 and Python 3.

Learn advanced Python features, like collections, modules.

Learning all the basic topics, like conditional statements, looping, advanced operators

Understand how to use Data Structures, like Lists, Tuple, Set and Dictionary.

Get an understanding of how to create GUIs.

Developing 6 major projects including Face Recognition, Automate Weather Forecast and many such interesting projects.

Learn how to use Object Oriented Programming with classes.

Understand how to execute the .py programs with ATOM and Visual Studio.

Course includes Python Cheat Sheet

Who Should Attend

Beginners who have never programmed before.

Programmers who are switching other programming languages to Python.

Programmers who want to level up their skills.

Target Audiences

Beginners who have never programmed before.

Programmers who are switching other programming languages to Python.

Programmers who want to level up their skills.

Welcome to Python Programming Bootcamp. One single course to start your Python Journey as a Fresher Step by Step. This course touches on each and every important concept of Python with latest version of Python 3.7, Python 3.8, and Python 3.9.
Learn one of employer’s most requested skills of 2021!

Throughout the course, we will explore the most important Python Programming Features –

Basics of Python – Expressions, Variables, and Input Output Statements

Operators– Assignment Operators, Relational and Logical Operators, Short Hand Operators

Conditional Statements – If Else Statement, Nested If Else

Methods – Parameters, Passing Arguments, and Return Values

Complete Object Oriented Programming – Classes and Objects

OOPs Features – Encapsulation, Inheritance, and Abstract Classes.

Data Structures In depth – List, Set, Dictionary, and Tuples

Loops– For Loop, While Loop, Keywords: Break and Continue

Mutability and Immutability of Python Basic Types.

Built-in And User Defined Modules

Errors And Exception Handling with try except block – try, except, else, and finally.

Custom Exception – Raising Exception, Creating, and Raising a Custom Exception.

Python 3 Cheat sheet

Here are some projects that we will explore:

Face recognition with OpenCV in Python

Data Analysis With Pandas

Graphical User Interface Applicationwith Tkinter

Password Generatorwith Random Module

Understanding the basics of Databasesand Integrating Desktop Application with SQLite3Database.

Automate Weather Forecast

Automated Web Scraper and Mailing System with BeautifulSoup

So basically we will work on 6 different Projects With OpenCV, Pandas, Tkinter, BeautifulSoup& more.

The main goal of this course is to learn programming by building projects.

Course Curriculum

Chapter 1: Python in 2021

Lecture 1: Course Introduction

Lecture 2: Welcome – Lets Get Started

Chapter 2: Setup Installing Python

Lecture 1: Python Programming – Is Python A Bubble

Lecture 2: Installing Python on Windows

Lecture 3: Python 3.9 Version Update

Lecture 4: Different Methods To Execute Python Codes

Chapter 3: Writing our 1st Python Program

Lecture 1: Variables and Python Memory Management

Chapter 4: DataTypes in Python

Lecture 1: Datatypes in Python

Lecture 2: Sequences in Python

Lecture 3: Sets, Dictionary

Lecture 4: Literals and Identifiers

Lecture 5: Reserve Words – You Cant Use Them!

Chapter 5: Operators in Python

Lecture 1: Operators Arithmetic, Assignment

Lecture 2: Operators Unary Minus, Relational, Logical, Boolean

Lecture 3: Understanding Escape Characters

Chapter 6: Input and Output

Lecture 1: Introduction to Input and Output Statements

Lecture 2: Output Statements

Lecture 3: Input Statements

Lecture 4: Python Built-in Functions and Built-in Module

Lecture 5: Practice Questions

Lecture 6: Solutions for Practice Questions

Chapter 7: Integrated Development Environment (IDE)

Lecture 1: Editor 1 – Working With ATOM

Lecture 2: Editor 2 – Working With VS Code

Lecture 3: Run .py file through System Terminal

Chapter 8: Python Conditional Statements

Lecture 1: Conditionals If, If Else and Indentation

Lecture 2: Conditionals If Else Statements With Operators

Lecture 3: Conditionals if elif else Statements, Nested if Statements

Lecture 4: Practice Questions

Lecture 5: Solutions for Practice Questions

Chapter 9: Loops in Python

Lecture 1: While Loop

Lecture 2: For Loops – Part 1

Lecture 3: For Loops – Part 2

Lecture 4: Break and Continue Statements

Lecture 5: Practice Questions

Lecture 6: Solutions for Practice Questions

Chapter 10: Strings and Characters

Lecture 1: Comments and Doc Strings

Lecture 2: Diving Deep With Strings

Lecture 3: Practice Questions

Lecture 4: Solutions for Practice Questions

Chapter 11: Lists, Tuples, and Dictionary

Lecture 1: Diving Deep – List

Lecture 2: Diving Deep – Tuples

Lecture 3: Diving Deep – Dictionaries

Lecture 4: Indexing, Slicing, Negative Indexing

Lecture 5: Practice Questions

Lecture 6: Solutions for Practice Questions

Chapter 12: Functions

Lecture 1: What are Functions

Lecture 2: Parameters, Arguments, Return

Lecture 3: Formal and Actual Arguments (arg, *arg, **karg)

Lecture 4: Local and Global Variables

Lecture 5: Practice Questions

Lecture 6: Solutions for Practice Questions

Chapter 13: Object Oriented Programming (OOP)

Lecture 1: Introduction to Object Oriented Programming (OOP)

Lecture 2: Classes and Objects in Python (OOP)

Lecture 3: Understanding init() Method and _self _ Parameter

Lecture 4: Solving Task OOPS

Lecture 5: Defining Multiple Constructors in Python

Lecture 6: Encapsulation

Lecture 7: Public And Private Methods

Lecture 8: Inheritance

Lecture 9: Getter and Setter

Lecture 10: Creating And Importing Module

Lecture 11: Creating User Defined Module

Lecture 12: Multiple Inheritance

Lecture 13: Understanding super() Function [Part 1]

Lecture 14: Understanding super() Function [Part 2]

Lecture 15: Python Naming Convention (Classes, Variables, Functions, Methods )

Lecture 16: Composition

Lecture 17: Aggregation

Lecture 18: Abstract Classes

Lecture 19: Discussing Over import And from

Lecture 20: Operator Overloading [Part 1]

Lecture 21: Operator Overloading [Part 2]

Lecture 22: Practice Questions

Lecture 23: Solutions for Practice Questions

Chapter 14: Object Oriented Programming (Theory)

Instructors

Vikram Singh
Sr. Technical Analyst, working in MNC, experienced in Python

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 5 votes

4 stars: 18 votes

5 stars: 28 votes

Frequently Asked Questions

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Can I take my courses with me wherever I go?

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