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This plan includes
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$29
What you'll learn?
- 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
Course Overview
This course will help you become a Python Developer even if you haven't coded before.
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
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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Pre-requisites
- 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.
Target Audience
- 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)
Curriculum 74 Lectures 06:48:54
-
Section 1 : Introduction
-
Section 2 : Getting Started
- Lecture 1 :
- Installing Python & VS Code
- Lecture 2 :
- Hello World in Python
-
Section 3 : Basics of Python
- 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
- Lecture 1 :
- String handling
-
Section 5 : Working with List in Python
- 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
- Lecture 1 :
- Working with Tuple in Python
-
Section 7 : Working with Set in Python
- Lecture 1 :
- Basics of Set
- Lecture 2 :
- Add Items to Set
- Lecture 3 :
- Remove element from Set
-
Section 8 : Working with Dictionary in Python
- 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
- 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
- Lecture 1 :
- The for Loop
- Lecture 2 :
- Using range() in for loop
- Lecture 3 :
- The while loop
-
Section 11 : Working with Functions in Python
- 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
- 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
- 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
- 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
- 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
- Lecture 1 :
- Using Modules in Python
- Lecture 2 :
- Defining a User Defined Module
-
Section 17 : Before we conclude
- Lecture 1 :
- Source Code Repository
- Lecture 2 :
- How to improve and master Python?
Our learners work at
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