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Learn Python From Basics. Part 1!

Reference:  https://www.amazon.com/Programming-Python-Complete-Introduction-Language/dp/0321680561
This is going to be a long session of python programming. From this session, we are going to learn about basic python syntax and structures and then move on to the advanced topics. I have divided python into eight different topics. In this blog, we will take a look at the first two pieces. I have tried to make this session as simple as possible and as much interactive as I could. So, what are we waiting for? Let's dive in! Feel free to comment on any part you find difficult.
The eight key pieces  to learn at first in Python are: 1. Data Types 2. Object References 3. Collection Data Types 4. Logical Operations 5. Control Flow Statements 6. Arithmetic Operators 7. Input/Output 8. Creating and Calling Functions 1. Data Types:  There are several built-in data types in python. Here we are going to discuss some of them. In python, the integer has no limit. It is only limited by the machine's m…

Learn Python From Basics. Part 1!

Reference: 
https://www.amazon.com/Programming-Python-Complete-Introduction-Language/dp/0321680561

This is going to be a long session of python programming.
From this session, we are going to learn about basic python syntax and structures and then move on to the advanced topics.
I have divided python into eight different topics. In this blog, we will take a look at the first two pieces. I have tried to make this session as simple as possible and as much interactive as I could. So, what are we waiting for? Let's dive in! Feel free to comment on any part you find difficult.

The eight key pieces  to learn at first in Python are:
1. Data Types
2. Object References
3. Collection Data Types
4. Logical Operations
5. Control Flow Statements
6. Arithmetic Operators
7. Input/Output
8. Creating and Calling Functions

1. Data Types: 

There are several built-in data types in python. Here we are going to discuss some of them.
In python, the integer has no limit. It is only limited by the machine's memory. Example:
>>> print(2564899665123564896523166986689866 + 1)
2564899665123564896523166986689867
Both positive and negative whole numbers are int type. 
Python represents strings as well as Unicode characters (NOT LIMITED BY ASCII characters) in str type.
Examples:
668
274749234724398742379259694940597983988341048
"Saroj Blogs"
'Mark Summerfield'
'Helloo © ÷'
We can use square brackets to access items from a sequence. 
>>> "Pearson Python 3" [2]
'a'
 This is because the indexing of P starts from 0. 
For type conversion, we use this syntax:
               datatype (item)
Say we have to convert 45 to string then
>>> a = str(45)
>>>print(a)
45
>>>type(a)
<class 'str'>1. Data Types: 

2. Object References: 
In python, everything is an object (we will later discuss object). Essentially all the variables in Python are objects. So, object references and variables can be used interchangeably. Syntax: objectReference = value
Example:
      a = "apple"
      b = a
When we execute the code, an object of str type is created with text "apple" and object reference a. Similarly, the second statement creates object reference b and sets it to refer to the same object that is referred by a. Here the operator "=" binds objects to the object reference (or Variables).
>>> a = "apple"
>>> b = a
>>> print(a, b)
apple apple
























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A blog by Saroj Bhattarai