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Learn Python Programming Beginner to Master

  • Development
  • Apr 17, 2025
SynopsisLearn Python Programming – Beginner to Master, availabl...
Learn Python Programming Beginner to Master  No.1

Learn Python Programming – Beginner to Master, available at $99.99, has an average rating of 4.56, with 352 lectures, 27 quizzes, based on 5338 reviews, and has 26379 subscribers.

You will learn about Master Python Programming by doing 100+ Challenges Detail understanding of fundamentals Build Multithreaded Applications using Python for Database Programming Build GUI Applications Master art of Functional and Object-Oriented Programming Learn Modules – DataStructure, OS, NumPy, Math, DateTime and Tkinter This course is ideal for individuals who are A Complete Beginner or Intermediate Python Programmer or Programmers who want to switch to Python It is particularly useful for A Complete Beginner or Intermediate Python Programmer or Programmers who want to switch to Python.

Enroll now: Learn Python Programming – Beginner to Master

Summary

Title: Learn Python Programming – Beginner to Master

Price: $99.99

Average Rating: 4.56

Number of Lectures: 352

Number of Quizzes: 27

Number of Published Lectures: 352

Number of Published Quizzes: 27

Number of Curriculum Items: 379

Number of Published Curriculum Objects: 379

Original Price: $159.99

Quality Status: approved

Status: Live

What You Will Learn

  • Master Python Programming by doing 100+ Challenges
  • Detail understanding of fundamentals
  • Build Multithreaded Applications
  • using Python for Database Programming
  • Build GUI Applications
  • Master art of Functional and Object-Oriented Programming
  • Learn Modules – DataStructure, OS, NumPy, Math, DateTime and Tkinter
  • Who Should Attend

  • A Complete Beginner
  • Intermediate Python Programmer
  • Programmers who want to switch to Python
  • Target Audiences

  • A Complete Beginner
  • Intermediate Python Programmer
  • Programmers who want to switch to Python
  • Learn Python Programming –course is curated for Beginner to Master.

    Every topic is covered in depth with practical examples.

    100+ Challenges to make you expert in Problem Solving using Python

    By the end of the course you will understand Python extremely well and will be able to build your own Python applications.

    Resources are available for every lectures.

    Answer Quiz at the end of major topics, to feel confident.

    Do Projects using Tkinter, GUI Programming.

    Use Laptop or PC to learn and practice Python.

    IDLE is used for demonstrating the concepts and PyCharm is used for Developing Programs. You can use any IDE, of your choice.

    Course Content:

  • Fundamental Concepts and Features of Python

  • Learn to use PyCharm, Jupyter Notebook and IDLE.

  • Explore Numeric DataTypes

  • Conditional and Loop Statements

  • Explore Advance Datatypes – List, Tuple, Set, Dictionary

  • Write Error-free Programs by Handling Exception

  • Multithreaded Programs

  • More and more about Functions

  • Object-Oriented Programming

  • File Handling and CSV Files

  • Database Programming using Sqlite

  • Modules

  • Data Structures

  • Date and Time

  • OS

  • Math

  • NumPy

  • GUI Programming using Tkinter

  • Do Projects in GUI Programming

  • You can always ask Questions in Q&A section. you can find Q&A section under each video lecture.

    Every Lecture contains notes in Resources.

    Course Curriculum

    Chapter 1: Introduction to Python

    Lecture 1: Instructors Note

    Lecture 2: Types of Programming Languages

    Lecture 3: Compiler Vs Interpreter

    Lecture 4: How a Python Program Runs?

    Lecture 5: Python: Platform Independent

    Lecture 6: Programming Methodologies

    Lecture 7: Features of Python

    Lecture 8: Areas of Programming

    Chapter 2: Python Installation and Setup

    Lecture 1: Installing Python

    Lecture 2: Installing Pycharm

    Lecture 3: Installing VS Code

    Lecture 4: Installing and using Jupiter Notebook

    Chapter 3: Python Datatypes

    Lecture 1: Section Introduction

    Lecture 2: What are Variables ?

    Lecture 3: Python Dynamically Typed

    Lecture 4: Rules for declaring Variable Names

    Lecture 5: Python Data Types

    Lecture 6: Numeric Datatypes (int & float)

    Lecture 7: Numeric Datatype (bool & complex)

    Lecture 8: Literals or Constants

    Lecture 9: Integer Literals

    Lecture 10: Base Conversion

    Lecture 11: Type Conversion

    Chapter 4: Operators and Expression

    Lecture 1: Section Introduction

    Lecture 2: Arithmetic Operators

    Lecture 3: Expressions

    Lecture 4: Program using Expressions

    Lecture 5: Challenge : Area of triangle

    Lecture 6: Challenge : Kms to Miles

    Lecture 7: Challenge : Surface area of Cuboid

    Lecture 8: Challenge : Quadratic Equations

    Lecture 9: Arithmetic Assignment Operators

    Lecture 10: Arithmetic With All Datatypes

    Chapter 5: Conditional Statements

    Lecture 1: Section Introduction

    Lecture 2: Conditional Statements- if else

    Lecture 3: Logical Operator

    Lecture 4: Challenge : Eligibility for Casting a Vote

    Lecture 5: Challenge : Marks within Range

    Lecture 6: Challenge : Admin Access

    Lecture 7: Nested if and elif Statements

    Lecture 8: Challenge : Discount Amount

    Lecture 9: Challenge : Displaying Name of a Day

    Lecture 10: Challenge : Leap Year or Not

    Lecture 11: Detail Relational Operator

    Lecture 12: Detail Logical Operator

    Lecture 13: Bitwise Operator

    Lecture 14: Identity operators : is – is not

    Chapter 6: Loops – Control Flow

    Lecture 1: Section Introduction

    Lecture 2: Introduction to Loops

    Lecture 3: Challenge : Multiplication Table

    Lecture 4: Challenge : Palindrome or not

    Lecture 5: Challenge : Positive and Negative Numbers

    Lecture 6: Challenge : Decimal to Binary

    Lecture 7: Challenge : Guess Numbers from 1-10

    Lecture 8: Infinite Loop – break – continue – pass

    Lecture 9: else suite : else with while loop

    Lecture 10: What is for Loop ?

    Lecture 11: Challenge : Factorial of Given Number

    Lecture 12: Challenge : AP and Fibonacci Series

    Lecture 13: Challenge : Factors of a Number

    Lecture 14: break-continue-pass – with for loop

    Lecture 15: Nested Loops

    Lecture 16: Challenge : Prime Numbers from 1-100

    Lecture 17: Challenge : Draw Patterns

    Lecture 18: Match Case

    Chapter 7: String and its Methods

    Lecture 1: Section Introduction

    Lecture 2: Introduction to String

    Lecture 3: Operators on String

    Lecture 4: Relational Operators on Strings

    Lecture 5: Introduction to String Methods

    Lecture 6: String Methods : find( ) and index( )

    Lecture 7: String Methods : Removing Spaces

    Lecture 8: String Methods : Changing Cases

    Lecture 9: String Methods : Inquiry Methods

    Lecture 10: String Methods : Inquiry Methods 2

    Lecture 11: String Methods : Starts with and Ends with

    Lecture 12: String Methods : Joining and Splitting

    Lecture 13: Challenge : Sorting Letters of a String

    Lecture 14: Challenge : Displaying Data

    Lecture 15: Challenge : Confirming Password

    Lecture 16: Challenge : Credit Card Details

    Lecture 17: Challenge : Domain Name from Email

    Lecture 18: Challenge : Converting String to Palindrome

    Lecture 19: Challenge : Day, Month , Year

    Instructors

  • Learn Python Programming Beginner to Master  No.2
    Abdul Bari
    Professional Programmer and Educator
  • Rating Distribution

  • 1 stars: 42 votes
  • 2 stars: 57 votes
  • 3 stars: 320 votes
  • 4 stars: 1718 votes
  • 5 stars: 3219 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

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