Python in easiest way in Hindi : Python for beginners ❤ 2022

person icon Dr Gaurav Khandelwal

Python in easiest way in Hindi : Python for beginners ❤ 2022

Latest Python course with Python 3.9 , Best course for beginners in hindi , Interview tips and university questions

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Dr Gaurav Khandelwal

architecture icon Development,Python


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Course Description


Dr. Gaurav is certified by Microsoft for Python Programming

This is the most updated course on python with latest version 3.9. We update this course in every two three days and we add new videos .You will learn the following:-

  • Features of Python

  • Python Virtual Machine (PVM)

  • Frozen Binaries

  • Memory management in Python

  • Garbage collection in Python

  • Writing our first Python program

  • Executing a Python program

  • Getting help in Python

  • Reopening the Python program in IDLE

  • Comments in Python, Docstrings

  • How Python sees variables

  • Datatypes in Python

  • Sequences in Python

  • Sets

  • Literals in Python

  • Determining the datatype of a variable

  • Characters in Python

  • User-defined datatypes

  • Constants in Python

  • Identifiers and Reserved words

  • Naming conventions in Python

  • Arithmetic operators

  • Using Python interpreter as calculator

  • Assignment operators

  • Unary minus operator

  • Relational operators

  • Logical operators

  • Boolean operators

  • Membership operators

  • Identity operators

  • Operator precedence and associativity

  • Mathematical functions

  • Output statements

  • Various formats of print()

  • Input statements

  • The built in argv[] list

  • Entering various elements from command prompt

  • Processing command line arguments

  • if statement

  • if … else statement

  • if … elif … else statement

  • while loop

  • for loop

  • Infinite loops

  • Nested loops

  • break statement

  • continue statement

  • pass statement

  • assert statement

  • return statement

  • Creating an array

  • Importing the array module

  • Indexing and slicing on arrays

  • Types of arrays

  • Working with arrays using numpy

  • Creating arrays using linspace

  • Creating arrays using logspace

  • Creating arrays using arange() function

  • Creating arrays using zeros() and ones() functions

  • Mathematical operations on arrays

  • Comparing arrays

  • Aliasing the arrays

  • Viewing and Copying arrays

  • Slicing and indexing in numpy arrays

  • Dimensions of arrays

  • Attributes of an array

  • reshape()

  • flatten()

  • Working with Multi dimensional arrays

  • The array() function

  • ones() and zeros() functions

  • eye() function

  • reshape() function

  • Indexing in multi dimensional arrays

  • Slicing the multi dimensional arrays

  • Matrices in numpy

  • Creating strings

  • Length of a string

  • Indexing in strings

  • Repeating the strings

  • Concatenation of strings

  • Checking membership

  • Comparing strings

  • Removing spaces from a string

  • Finding sub strings

  • Strings are immutable

  • Replacing a string with another string

  • Splitting and joining strings

  • Changing case of a string

  • Checking starting and ending of a string

  • String testing methods

  • Formatting the strings

  • Sorting strings

  • Defining a function

  • Calling a function

  • Returning results from a function

  • Returning multiple values from a function

  • Functions are first class objects

  • Pass by object reference

  • Formal and actual arguments

  • Positional arguments

  • keyword arguments

  • Default arguments

  • Variable length arguments

  • Local and global variables

  • The global keyword

  • Passing a group of elements to a function

  • Recursive functions

  • Function decorators

  • Generators

  • Structured programming

  • Creating our own modules in Python

  • The special variable name

  • Structured Programming

  • Creating our own modules in Python

  • The special variable __name__

  • Creating our own Package

  • Accessing the modules from the package

  • Creating lists using range() function

  • Updating the elements of a list

  • Concatenation of two lists

  • Repetition of lists

  • Membership in lists

  • Aliasing and cloning lists

  • Methods to process lists

  • Nested lists

  • List comprehensions

  • Tuples

  • Creating tuples

  • Accessing the tuple elements

  • Basic operations on tuples

  • Operations on dictionaries

  • Dictionary methods

  • Using for loop with dictionaries

  • Sorting the elements of a dictionary using lambdas

  • Converting lists into dictionary

  • Converting strings into dictionary

Python Hindi Course | Python Latest course 2021 | Python for beginners | python for freshers | python made easy | Python in Hindi | Python simplest course | Learn Python in easy way | Learn Python in Hindi

Who this course is for:

  • BCA,BSc(CS), BTech , MTech, PGDCA , A Level Students
  • Anyone who is looking for a technology change.
  • 8-12th class students looking to dive into python programming
  • Beginner in Python


What will you learn in this course:

  • Python core concepts in easy way in Hindi

  • All Concepts will be cleared in a lucid manner

  • Interview Questions

  • Excellent Tips

  • A TO Z about Core Python in depth

  • Best Course in Python


What are the prerequisites for this course?

  • Freshers may join

  • Laptop/PC

Python in easiest way in Hindi : Python for beginners ❤ 2022


Check out the detailed breakdown of what’s inside the course

Introduction & Installation
4 Lectures
  • play icon Why to buy this Course?
  • play icon Introduction to Python-Why Python? 08:13 08:13
  • play icon What kind of Development can happen in Python 07:59 07:59
  • play icon Installing Python - Ver. 3.9.5 05:35 05:35
First Python Program
4 Lectures
Compilation Process in Python
5 Lectures
Data Types - Part 1
10 Lectures
Data Types - Part II (String)
7 Lectures
List & Tuple
4 Lectures
Set & Frozenset
2 Lectures
Mapping Data Type - dictionary
1 Lectures
Taking Input in Python & Use of Comments
5 Lectures
Operators in Python
4 Lectures
Output - Printing in Python
1 Lectures
Control Statements & Basic keywords,functions
23 Lectures
Command Line Arguments
1 Lectures
10 Lectures
Decorator and Generator Functions
3 Lectures
Functional Programming - Lambda Functions
6 Lectures
Modules and Packages
4 Lectures
List Comprehension
7 Lectures
16 Lectures

Instructor Details

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Dr Gaurav Khandelwal

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