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  • This course will help you become a Python Developer even if you haven't coded before.
  • 70+ Video Lessons
  • 60+ assignments
  • Get Full Source Codes
  • You will learn all the topics mentioned below: Introduction to Python Getting Started Basics of Python Programming How to write comments in Python? Type Casting in Python Taking Input in Python String Handling in Python Working with List in Python Working with Tuple in Python Working with Set in Python Working with Dictionary in Python Decision Making Statements in Python Working with Loops in Python Function in Python Classes and Objects in Python Working with Inheritance in Python Exception Handling in Python File Handling in Python Working with Modules in Python

This course will help you become a Python Developer even if you haven't coded before.

You will learn all the topics mentioned below:

  1. Introduction to Python

  2. Getting Started

  3. Basics of Python Programming

  4. How to write comments in Python?

  5. Type Casting in Python

  6. Taking Input in Python

  7. String Handling in Python

  8. Working with List in Python

  9. Working with Tuple in Python

  10. Working with Set in Python

  11. Working with Dictionary in Python

  12. Decision Making Statements in Python

  13. Working with Loops in Python

  14. Function in Python

  15. Classes and Objects in Python

  16. Working with Inheritance in Python

  17. Exception Handling in Python

  18. File Handling in Python

  19. Working with Modules in Python

Get Full Source Codes: Around 150+ Topics covered Practically: 70+ Video Lessons and 60+ assignments to help you master the Python Programming Language.

This is no fuss and completely practical course.

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  • No pre-requisites for this course.
  • One should be ready to dive in to the world of Python for Data Science.
  • If you have basic computer knowledge, it is enough.
  • Anyone who is willing to learn Python practically.
  • Anyone who wants to make career in Data Science, Machine Learning or Artificial Intelligence
  • Beginner Python Developers curious about Data Science
  • Computer Students (B. Tech./B.E., M. Tech./M.E. M.C.A., B.C.A, M. Sc., B. Sc., Diploma, Polytechnic)
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  • Section 1 : Introduction 1 Lectures 00:15:47

    • Lecture 1 :
  • Section 2 : Getting Started 2 Lectures 00:08:21

    • Lecture 1 :
    • Installing Python & VS Code
    • Lecture 2 :
    • Hello World in Python
  • Section 3 : Basics of Python 8 Lectures 00:36:28

    • Lecture 1 :
    • How to define variables in Python?
    • Lecture 2 :
    • How to write comments in Python?
    • Lecture 3 :
    • Simple Addition
    • Lecture 4 :
    • Number formats in Python
    • Lecture 5 :
    • The behavior of Plus Operator
    • Lecture 6 :
    • Type Casting in Python
    • Lecture 7 :
    • Taking Input in Python
    • Lecture 8 :
    • Taking Input in Python
  • Section 4 : String handling 1 Lectures 00:15:14

    • Lecture 1 :
    • String handling
  • Section 5 : Working with List in Python 4 Lectures 00:31:27

    • Lecture 1 :
    • Basics of List
    • Lecture 2 :
    • Remove element from List
    • Lecture 3 :
    • Copy a List
    • Lecture 4 :
    • List Constructor
  • Section 6 : Working with Tuple in Python 1 Lectures 00:09:33

    • Lecture 1 :
    • Working with Tuple in Python
  • Section 7 : Working with Set in Python 3 Lectures 00:15:31

    • Lecture 1 :
    • Basics of Set
    • Lecture 2 :
    • Add Items to Set
    • Lecture 3 :
    • Remove element from Set
  • Section 8 : Working with Dictionary in Python 4 Lectures 00:30:27

    • Lecture 1 :
    • Basics of Dictionary
    • Lecture 2 :
    • Loop through Dictionary
    • Lecture 3 :
    • Copy a Dictionary
    • Lecture 4 :
    • Removing element from Dictionary
  • Section 9 : Decision Making Statements in Python 5 Lectures 00:37:04

    • Lecture 1 :
    • The if statement
    • Lecture 2 :
    • The simple switch Case
    • Lecture 3 :
    • Switch Case using Dictionary
    • Lecture 4 :
    • Switch Case using Class
    • Lecture 5 :
    • Changing Case in Switch Case
  • Section 10 : Working with Loops in Python 3 Lectures 00:24:38

    • Lecture 1 :
    • The for Loop
    • Lecture 2 :
    • Using range() in for loop
    • Lecture 3 :
    • The while loop
  • Section 11 : Working with Functions in Python 9 Lectures 00:49:18

    • Lecture 1 :
    • Basics of Function in Python
    • Lecture 2 :
    • Function with Variable Arguments
    • Lecture 3 :
    • Anonymous Function in Python
    • Lecture 4 :
    • Using return statement in Function
    • Lecture 5 :
    • Return using Class
    • Lecture 6 :
    • Return using Tuple
    • Lecture 7 :
    • Return a List
    • Lecture 8 :
    • Return a Dictionary
    • Lecture 9 :
    • Recursion in Python
  • Section 12 : Classes and Objects in Python 5 Lectures 00:20:14

    • Lecture 1 :
    • Classes and Objects
    • Lecture 2 :
    • The init Function
    • Lecture 3 :
    • Object Methods
    • Lecture 4 :
    • The Self Parameter
    • Lecture 5 :
    • Lets play with Object
  • Section 13 : Working with Inheritance in Python 8 Lectures 00:26:43

    • Lecture 1 :
    • The basics of Inheritance
    • Lecture 2 :
    • Adding init and other properties
    • Lecture 3 :
    • Adding methods to sub class
    • Lecture 4 :
    • Single Inheritance
    • Lecture 5 :
    • Multilevel Inheritance
    • Lecture 6 :
    • Hierarchical Inheritance
    • Lecture 7 :
    • Multiple Inheritance
    • Lecture 8 :
    • Hybrid Inheritance
  • Section 14 : Exception Handling in Python 6 Lectures 00:35:06

    • Lecture 1 :
    • Exception Handling in Python
    • Lecture 2 :
    • Multiple Except Clause
    • Lecture 3 :
    • Else Clause
    • Lecture 4 :
    • Raising or Throwing Exception
    • Lecture 5 :
    • Finally Clause
    • Lecture 6 :
    • User Defined Exception
  • Section 15 : File Handling in Python 10 Lectures 00:42:14

    • Lecture 1 :
    • File Handling in Python
    • Lecture 2 :
    • Writing Files
    • Lecture 3 :
    • Create new file
    • Lecture 4 :
    • Check File Existence
    • Lecture 5 :
    • Delete a File
    • Lecture 6 :
    • Delete a folder or directory
    • Lecture 7 :
    • Split a file
    • Lecture 8 :
    • Search a File
    • Lecture 9 :
    • Rename a File
    • Lecture 10 :
    • Copy a File
  • Section 16 : Working with Modules in Python 2 Lectures 00:10:49

    • Lecture 1 :
    • Using Modules in Python
    • Lecture 2 :
    • Defining a User Defined Module
  • Section 17 : Before we conclude 2 Lectures

    • Lecture 1 :
    • Source Code Repository
    • Lecture 2 :
    • How to improve and master Python?
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