Python Features

 Features of python

1. Simple and easy to learn:

1. When we read python program, we can feel like reading English statements.
2. Simple syntaxes.
3. Very less number of lines as compared with other languages.
4. More readability and simplicity.
5. We can reduce development cost of the project.

2. Freeware and Open Source:

1. We can use python without any license and it's freeware.
2. no need to pay single paisa for using software.

3. High Level Programming Language:

1. It is programmer friendly language.
2. Being a programmer we are not required to concentrate low level activities like memory management and security etc.

4. Dynamically Typed:

1. Data type is does not matter. whenever we are assigning the value, based on value type will be allocate automatically.

5. Interpreted:

1. Being a programmer not required to compile python program. internally python interpreter will take care that compilation.
2. An  interpreter is a program that reads and execute code line by line.

Identifiers:

Name of identifiers can be class name or Function name or Module name or Variable name.

 ex. 

here my_string is a identifier.

After reading about Identifiers what's in our  mind is there any rules to define variables or identifiers in python. answer is yes! python follows rules they are followings.

1. Alphabet symbols it may be UPPER CASE or lower case.
2. Identifier should not start with Digits.
3. Identifiers are case sensitive.

>>> a = 10

>>> A = 20

>>> print(a)

10

>>> print(A)

20

      4. We can not use reserved word as identifiers.

Then question arise is how many keyword and what are they in python?

here is answer 

Steps:

1. open command prompt 
2. type py or python
3. but insure that python already installed or not for that type python --version in cmd
4. import keyword
5. keyword.kwlist

All reserved words  in python contains only alphabet symbol.

Except the following - True, False and None.

    

   5.There is no length limits for identifiers

DATA TYPES IN PYTHON

Fundamental Data Types:

Fundamental data types are immutable. once create an object we can not perform any changes in that object.

1. int
2. float
3. complex
4. bool
5. str

Collection Data Types:

1. bytes
2. bytesarray
3. range
4. list
5. tuple
6. set
7. frozonset
8. dict
9. None

Brief explanations about Data type in next blog...….

  

        

Python for beginners

Python!

Now day everyone talks about Python Python.....

The question is why Python suddenly came in picture?

The answer is Python quite easy to learn as compare other languages.

Python is recommended as first programming language for beginners.

DOB of python Officially: 20th February 1991. means Python was made available to public in 1991.  

Python is a widely used high-level programming language

 It has a large and comprehensive standard library

It is general purpose means we can use for developing web application, for desktop application, database application, Network programming, for developing games, data analysis applications, ML- Machine learning, Data science , AI , IOT almost everywhere Python most popular now days. 

Getting started with Download and install python.

Download from official web site: https://www.python.org/

windows user : https://www.python.org/downloads/windows/

Mac user : https://www.python.org/downloads/mac-osx/

Verify if python is installed

If you have Python 3 installed, and it is your default version  you should see something like this: 

We are write our first program in python same with traditional way.

Hello World! in python using IDLE

C:

#include <stdio.h>

void main()

{

    print("Hello World!");    

}

Python:

print("Hello World!")

Example 2:

Print the sum of two numbers

num_1, num_2 = 10 ,20

print("Sum of two numbers:", num_1 + num_2)

Python was developed by almost all programming language features from different languages.

1. Functional Programming feature from C.

2. Object Oriented Programming feature from CPP.

3. Scripting Language Features from Perl and Shell.

4. Modular Programming features from Modula-3 

Everything is okay! yeah! okay but where we can use?

1. For developing Desktop applications.

2. For developing Desktop applications.

3. Games, Data Analysis , ML, DL, AI and IOT.